Задачи:
— Разработка бэкенд сервисов;
— Участие в код ревью;
— Написание модульных и интеграционных тестов;
— Разработка микросервисов;
— Участие в проектировании архитектуры.
Требования:
— Опыт работы от 2 лет;
— Высшее образование обязательно;
— Знание баз данных PostgreSQL, SQL;
— Понимание принципов SOLID, KISS;
— Понимание goroutines, channels, mutex;
— Знание Linux;
— Понимание CI/CD;
— Опыт с Prometheus, Grafana;
— Понимание OpenTelemetry;
— Знание Git;
— Опыт работы с Docker.
Условия:
— Работа в офисе в Санкт-Петербурге (удаленный формат не предусмотрен, гибрид маловероятен).
Location: İstanbul Office
Workplace: Remote
OUR STORY
Pointr is the market leader in Indoor Mapping, Location and Analytics, and the inventor of AI-based map production. Its innovative (20+ patents) Pointr Maps™ platform is used by millions of users across offices, retail locations, airports, hospitals, and more every month.
As the top choice of Fortune 100 customers and billions of sqft. deployed globally (30+ countries), Pointr is always on the lookout for great team members to support its fast growth. Our core values are Ownership, Harmony, and Scale, and we look for Passionate, Kind, and No-Ego team members to join the team.
ROLE OVERVIEW
We're looking for a Sr. R&D Engineer to join the Location team and improve the positioning engine behind Pointr's blue dot offering, used in airports, hospitals, and corporate campuses. The engine turns noisy real-world sensor data into a reliable location estimate, indoors and outdoors. It runs primarily on iOS and Android, with the shared C++ core also supporting WebAssembly and backend services.
You will take algorithm improvements from research through implementation, validation on real venue data, and release. The work spans probabilistic estimation, sensor fusion, and applied geometry, including the native mobile scanning code that supplies the engine's measurements.
You'll join a small, senior team with ownership over technical decisions and a short path from experiments to customer deployments.
WHAT YOU'LL DO
- Improve the accuracy, responsiveness, and robustness of Pointr's indoor-outdoor positioning algorithms across a wide range of venue types, devices, and real-world conditions.
- Research, develop, and evaluate positioning algorithms, spanning classical estimation and machine learning approaches, and measure whether they improve results on real venue data.
- Research and investigate emerging positioning technologies. Some work involves development kits, reference hardware, and measurement setups for capabilities not yet available on shipping phones.
- Build and use offline replay, accuracy regression suites, and simulation tools to measure improvements. Validate on real iOS and Android devices, where sensor behavior and runtime constraints can differ from desktop results.
- Develop production code in the shared C++ engine and the native iOS and Android sensor and radio scanning layers, with attention to performance, memory use, thread safety, and test coverage.
- Turn field issues, such as suboptimal hardware deployments or unexpected sensor behavior, into reproducible test cases and engine improvements.
- Use AI coding agents daily for research and development, and take responsibility for reviewing and validating their output.
- Shape technical decisions through experiments and code review. Document the reasoning behind your work and contribute invention disclosures where warranted.
WHAT SUCCESS LOOKS LIKE
- First 90 days: independently run and interpret the accuracy measurement tools, and ship your first engine improvement with tests and on-device validation.
- 6 months: own a significant area of the engine, deliver measurable positioning improvements, and diagnose field issues from customer venues.
- 12 months: set technical direction and measurement standards for your area, with improvements deployed at customer scale. Help the team develop and validate algorithms more effectively through reviews and better tooling.
WHAT WE SEEK
- 6+ years of professional software engineering experience, including performance-sensitive production code. Depth in algorithms and estimation matters more than your current programming language; prior C++ experience is preferred, not required.
- Strong grounding in probabilistic state estimation and sensor fusion, including recursive Bayesian filtering and particle-based methods, with the judgment to choose an approach suited to the problem.
- Solid applied mathematics, including linear algebra, probability, numerical methods, and geometry. You can distinguish model limitations from data quality problems.
- Experience working with noisy, real-world sensor time series: reproducing issues from recorded traces, isolating causes, and validating changes with measurable results and automated tests.
- Daily use of AI coding agents and a basic understanding of how they work, including context windows, tool use, prompting, instruction files, and common failure modes. You can direct agents effectively and critically review their output.
- Working knowledge of iOS or Android development, enough to build and debug on real devices and modify native platform code.
- Comfort with native development tools, including build systems, Git, compilers, sanitizers, and profilers, and with cross-platform constraints.
- Clear technical communication with engineers and non-engineers, and a collaborative approach to technical disagreements and code review.
- Professional fluency in English, both written and spoken.
PREFERRED QUALIFICATIONS
- Experience in indoor positioning, GNSS, robotics, SLAM, pedestrian dead reckoning, or RF signal processing.
- Hands-on experience with Claude Code or OpenAI Codex; other AI coding agents also qualify. Experience building agent tools or integrations is a plus.
- Experience with modern C++, Swift, or Kotlin, or shipping a shared native core in iOS and Android apps.
- Familiarity with mobile constraints that affect positioning, including background execution, sensor and radio scanning APIs, power budgets, and device differences.
- Knowledge of ranging and positioning methods used with radio technologies such as BLE, UWB, or Wi-Fi.
- Experience with computational geometry, geospatial data, or map processing. Wayfinding and graph algorithms are useful secondary skills.
- Experience applying machine learning to motion or signal models, with evidence that it improves on classical estimation methods.
- Experience building simulation or visualization tools for algorithm development.
- An MS or PhD in a relevant field, research publications, or equivalent demonstrated depth in positioning, estimation, or spatial algorithms.
WHAT WE OFFER
- A supportive, kind (no-ego), and smart team
- International environment and inclusive culture
- Competitive base salary and stock options, based on experience and market
- Private supplementary health insurance, in addition to statutory SGK coverage
- Paid annual leave under Turkish Labor Law (14 days/year for years 1–5 of service, rising with tenure), plus 5 additional paid days in your first year as a Pointr benefit
- Official public holidays as set by the Turkish government (approximately 15 days in 2026, including national holidays and the Ramadan and Sacrifice Feast holidays)
- Paid sick leave with a doctor's report, per Turkish Labor Law
- 24 weeks of paid maternity leave (state-paid) and up to 6 weeks of paid paternity leave, topped up by Pointr Bilişim above the statutory minimum
- Mandatory SGK social security contributions
Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.
HOW WE USE YOUR DATA
Pointr Bilişim A.Ş. processes the personal data you submit as part of your application in accordance with Turkey's Personal Data Protection Law No. 6698 (KVKK), solely to assess your candidacy and manage recruitment. Our full candidate clarification notice (Aydınlatma Metni) is available upon request.
#LI-REMOTE
Do Not Meet Every Requirement? Apply anyway. We are not looking for perfect resumes. We are looking for the right teammate who is excited to contribute to our mission and grow with us.
WE SUCCEED TOGETHER
Great outcomes happen when talented, diverse people come together with a shared purpose. We value empathy, humility, and expertise, and we believe the best ideas come from collaboration, thoughtful challenges, and open feedback.
We empower our teams with clear goals and ownership, creating an environment where everyone can contribute, grow, and succeed. We take responsibility for our individual and collective development, celebrate our progress, learn from our experiences, and recognize the impact we create together.
We are an equal opportunity employer and are committed to building a company that embraces and celebrates diversity and inclusion. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity or expression, sexual orientation, age, marital status, veteran status, or disability status. We have read the studies and understand that diverse teams build better products, bring more perspective to the table, contribute to a company’s financial success, and help foster a more inclusive environment for all employees, but the bottom line is that it's the right thing to do.
We are committed to providing an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or recruiting process, please reach out to your recruiter or contact our team at hiring@pointr.tech hiring@pointr.tech.
A NOTE ON THE USE OF AI IN OUR INTERVIEW PROCESS
While we understand that AI is an important tool in a modern skillset, we ask that you do not utilize AI assistants live on our interviews. Of course, use any tools you need to prepare! But we'd like for you to have a real human-to-human conversation with our team.
On our end, we utilize a platform called Granola as a notetaker and review tool to ensure a fair and transparent hiring process.
Beware of scammers! All legitimate communication from Pointr regarding your application will come directly from an @pointr.tech http://pointr.tech email address and through our applicant tracking system, Ashby. We will never ask for personal financial information or conduct interviews outside of these official channels.
Location: Istanbul, Turkey
P.I. Works is the first company in the world to automate the management of a commercial 5G network.
Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been successfully deployed by 87 mobile network operators across 60 countries worldwide.
We are looking for an experienced
Project Manager
to lead complex Mobile Network Automation & Optimization projects for our global customers, in a challenging multi-national and multi-cultural work environment.
Job Description:
Take overall responsibility for planning, coordinating, and executing assigned mobile network projects, spanning
network automation software, optimization, engineering, professional and managed services
from initiation through completion.
Manage multiple large, complex projects simultaneously, working within stringent deadlines to complete assignments within a restricted time period.
Coordinate cross-functional teams including Engineering, Product, Integration, Support, Delivery, Sales, Finance, and external partners, across geographically distributed locations and time zones.
Act as the primary interface with customer project managers, technical teams, and senior stakeholders, building customer confidence through transparent and structured project management.
Establish and maintain cooperation and relations with Mobile Network Operator stakeholders and internal department employees.
Coordinate activities involving multi-vendor, multi-technology mobile networks, including 2G/3G/4G/5G, RAN, network automation, and SON/AI-driven optimization.
Interpret, analyze and evaluate available data, and make decisions concerning complex and comprehensive operational problems.
Establish and maintain project risk and issue registers, proactively identifying and mitigating technical, commercial, resource, and operational risks.
Manage project financials, resource planning, customer acceptance, and reporting; estimate, manage, and de-risk project schedules and budgets.
Actively take part in contract preparation and pre-sales phases of the projects; support business development by identifying new opportunities and contributing to proposals and solution design.
Ensure project deliverables meet contractual and agreed technical requirements, coordinating customer acceptance, KPI verification, and final handover activities.
Exercise good judgment in safeguarding confidential or sensitive information.
Communicate effectively, orally and in writing, at all levels, including with C-level stakeholders.
Support Managed Services and Professional Services engagements, including service mobilization, SLA/KPI monitoring, and subcontractor coordination where required.
Required Qualifications:
Bachelor’s degree in Telecommunications, Electrical/Electronics Engineering, Computer Engineering, Information Technology, or a related technical discipline.
8+ years of experience in the mobile telecommunications industry, including at least 5+ years in project/program management or a comparable customer-facing delivery leadership role.
PMP Certification is a plus.
Functional knowledge of Microsoft Project and PMBOK methodology.
Proven project management experience in multi-country, multi-cultural, and customer-facing environments.
Demonstrated team building and leadership skills, including the ability to lead teams without direct hierarchical authority.
Good understanding of mobile network technologies including 4G/5G, RAN, network optimization, automation, OSS/BSS, or managed services.
Solid understanding of engineering technical issues/needs, financial, sales, and marketing.
Excellent presentation skills, with strong stakeholder management and negotiation skills.
Experience communicating effectively through all stages of a project’s lifecycle, including C-level communication.
Travel between project locations will be needed.
Fluent English is a must; a second language is a plus.
Experience in Network Automation/SON, AI-driven optimization, RAN Optimization, Telecom Software Solutions, Professional and Managed Services, or System Integration is a plus.
Location: Ho Chi Minh City, Vietnam; Vietnam
Top Reasons To Join Us
Working for the Insurtech Market Leader.
100% Remote
Working with cutting edge technologies (Kubernetes, Terraform, GraphQL etc.) and multiple Cloud providers (AWS/Azure/GCP).
About Us
At CoverGo, our mission is to empower all insurance companies to make insurance 100% digital and accessible to everyone.
We are a leading global no-code insurance platform for health, life, and P&C.
We’re the winner of the Insurtech of the Year in all of Asia and other awards globally.
We work with insurance enterprise clients such as AXA, Bupa, MSIG, Dai-ichi, Bank of China Group Insurance, and many more.
We're an international, diverse team of over 120 people with 30 nationalities and team members working remotely from all over the world.
We are fully funded and backed by reputable VC funds and strategic institutional investors.
We have a global presence in Asia, EMEA and the Americas.
We’ve grown our annualized revenue by over 30x since January 2021.
We’re constantly working towards making CoverGo a workplace that you love coming to. We deeply believe that bringing together a diversity of thoughts, expressions, and perspectives is key to building the best culture for equally diverse communities all over the world.
About the Role
We are seeking a
Senior Full Stack Engineer
with a strong focus on
Support & Observability
to join our global engineering support team. This role is ideal for engineers who are passionate about solving complex technical problems, improving system reliability, and delivering exceptional customer experiences.
You’ll be part of the
frontline technical team
—working directly with customers, troubleshooting and resolving platform issues, and collaborating with engineering teams to improve our systems, tools, and processes. While this is a support-heavy role,
solid software engineering skills and strong observability knowledge are essential
.
About Support Team
Our Support Team acts as the
first line of technical assistance
for our customers and internal stakeholders. We not only resolve technical issues but also focus on
advocating for customers, enhancing support tools, improving documentation, and collaborating closely with engineering teams
to elevate the overall experience.
The team works closely with
product and project engineering teams
to deliver the
best possible experience to our customers at scale
, ensuring that solutions are not only reactive but also continuously improved for long-term impact.
What You Will Do
Triage and troubleshoot support issues, when required escalate to project or product engineering teams.
Analyze system behavior using observability tools—logs, metrics, tracing—to diagnose root causes of incidents in distributed systems.
Debug application code (primarily in .NET or NodeJS) and, when required, contribute fixes or code-level solutions.
Take ownership of technical issues by directly investigating and resolving problems at the code level, including identifying root causes and implementing fixes when necessary.
Work closely with our technical stack (AWS, Azure, GCP, Kubernetes, Dapr, Terraform, Temporal, Mongo Atlas, PostgreSQL) and our platform languages (.NET, NodeJS, Java).
Configure enterprise monitoring solutions.
Conduct thorough post-incident reviews to identify root causes and implement preventive measures.
Automate support needs, develop runbooks, improve and maintain support tools.
Participate in infrastructure capacity planning, demand forecasting, software performance analysis and systems tuning.
Understand our product offerings and continuously look for ways to improve the engineering support experience and platform engineering tooling.
Participate in R&D / explorations / automation with AI.
Help define and drive adoption of KPIs such as CSAT, NPS, resolution time, and first contact resolution.
Participate in strategic discussions around customer lifecycle, retention, and satisfaction.
What We Need
At least 6 years of experience in support or full stack engineering with a strong focus on delivery, observability, and cloud technologies.
Strong hands-on experience in software development with modern technologies such as
.NET,
Node.js
and
React
or
Vue.js.
Proven experience
leading a squad/team
, coordinating team members, driving delivery, and providing technical guidance and mentorship.
Distributed Systems Troubleshooting: Proven track record of diagnosing and resolving complex issues in distributed systems.
Observability and Monitoring Tools: Experience in utilizing observability platforms for metrics, logs, and tracing to pinpoint root causes in microservice architectures.
Exceptional problem-solving skills and ability to take ownership of customer issues through to resolution.
Strong communication and interpersonal skills to build rapport with customers and collaborate effectively with internal teams.
Fluent in English.
A customer-first mindset—empathetic, responsive, and solutions-driven.
A humble attitude, an eagerness to help others, and a desire to pick up whatever knowledge you're missing to make both your team and our customers succeed.
Being adept at frequent context switching and working on multiple projects at once with expansive ownership, and ruthlessly prioritize.
You might thrive in this role if
You prefer short projects where you can go deep and chase a problem down vs. building long-term solutions over many months. You enjoy seeing multiple use cases, understanding the broad landscape, all while going deep on specific issues.
You have previous experience in the insurance or InsurTech space.
You are proficient with customer support platforms (e.g., Jira, Zendesk).
You have proven track record of leading and scaling customer service operations in a fast-paced environment.
Why You'll Love Working Here
International Environment
Competitive remuneration package
Fully Remote
Annual Leave
Annual Performance Bonus
Stock Options after 6 months
Health Insurance
Remote Work Allowance
Company activities and events
Learning and development plan
CoverGo Company
Video
By submitting your application, you confirm that you have read, understood, and accepted the content of CoverGo’s
Privacy Notice
and you consent to the processing of your data as part of this application.
Задачи:
— Разрабатывать и поддерживать backend-сервисы на Java;
— Проектировать и реализовывать REST API;
— Развивать существующую функциональность и создавать новые сервисы;
— Работать с PostgreSQL и другими хранилищами данных;
— Интегрировать внутренние и внешние системы;
— Участвовать в проектировании архитектуры приложений;
— Оптимизировать производительность и надёжность сервисов;
— Проводить рефакторинг и участвовать в code review;
— Покрывать код модульными и интеграционными тестами;
— Анализировать ошибки и устранять проблемы в работе систем;
— Оценивать задачи и выполнять их в согласованные сроки;
— Взаимодействовать с frontend-разработчиками, аналитиками, тестировщиками и другими участниками команды.
Требования:
— Опыт коммерческой backend-разработки на Java;
— Уверенное знание Java 11+;
— Практический опыт работы со Spring Framework и Spring Boot;
— Понимание принципов ООП, SOLID и основных паттернов проектирования;
— Опыт разработки REST API;
— Уверенная работа с PostgreSQL или другими реляционными базами данных;
— Знание SQL, понимание индексов, транзакций и оптимизации запросов;
— Опыт работы с Hibernate, JPA или другими ORM-инструментами;
— Понимание принципов построения микросервисных приложений;
— Опыт работы с Git и системами командной разработки;
— Навыки написания модульных и интеграционных тестов;
— Умение разбираться в существующем коде и самостоятельно находить решения;
— Ответственность за качество разработки и соблюдение сроков;
— Готовность работать в динамичной среде и взаимодействовать с командой.
Будет преимуществом:
— Опыт работы с Kafka, RabbitMQ или другими брокерами сообщений;
— Знание Redis;
— Опыт работы с Docker и Docker Compose;
— Понимание Kubernetes и CI/CD;
— Опыт разработки высоконагруженных или распределённых систем;
— Знание принципов информационной безопасности;
— Опыт работы с WebSocket;
— Понимание event-driven архитектуры.
Условия:
— Полностью удалённая работа;
— Полная занятость с графиком 5/2;
— Стандартный восьмичасовой рабочий день;
— Работа в команде, ориентированной на московский часовой пояс;
— Участие в долгосрочных коммерческих проектах;
— Понятные задачи и взаимодействие с командой разработки;
— Возможность влиять на технические решения;
— Профессиональный и финансовый рост;
— Пересмотр вознаграждения в зависимости от результатов работы;
— Оплачиваемый отпуск после шести месяцев сотрудничества;
— Оформление по договору с самозанятым или ИП.
УдалённоРаботу в команде, ориентированной на московский часовой пояс
Задачи:
— Доработка существующих разделов и добавление новых.
— Интеграция с новым API вуза, работа с REST-сервисами.
— Исправление багов по логам Crashlytics и обратной связи от пользователей.
— Обновление приложения под новые версии Android (targetSdk 36+).
— Оптимизация push-уведомлений и фоновых задач.
— Рефакторинг Compose-экранов, улучшение UI/UX.
— Выпуск обновлений в Google Play, работа с внутренним тестированием.
— Написание тестов на критичные сценарии (авторизация, расписание, оплата).
Требования:
— Уверенное владение Kotlin (включая корутины, Flow, sealed-классы).
— Опыт коммерческой разработки на Jetpack Compose.
— Практика работы с Hilt (Dagger): компоненты, скоупы, @HiltViewModel.
— Опыт интеграции с Retrofit и настройки сетевого слоя.
— Работа с Room: сущности, DAO, миграции, Flow-запросы.
— Понимание MVVM / Clean Architecture, принципов SOLID.
— Опыт работы с существующим проектом (brownfield) — умение разбираться в чужом коде.
— Уверенная работа с Git и понимание CI/CD-пайплайнов.
— Опыт публикации и обновления приложений в Google Play.
Будет плюсом:
— Опыт разработки на Swift / iOS — сможете синхронизировать логику между платформами и подстраховать iOS-направление.
— Знание Kotlin Multiplatform (KMP).
— Опыт в EdTech, корпоративных или государственных приложениях.
— Понимание специфики интеграций с 1С / ERP-системами.
Личные качества:
— Самостоятельность: умеете сами найти баг, предложить решение и согласовать его.
— Аккуратность: не ломаете прод, пишете тесты на критичные сценарии.
— Коммуникабельность: умеете общаться с заказчиком и переводить «сделайте удобно» в конкретные задачи.
— Ответственность за результат и внимание к деталям.
Location: New York Office
Workplace: Hybrid
Taktile is building the infrastructure that enables financial institutions to become truly AI-native. As our customer base grows, we're looking for a Director of Forward Deployed Engineering to lead our NORAM FDE organization and scale how we deliver complex AI and decisioning solutions into production.
This is a hands-on leadership role for someone who has led teams of Forward Deployed, Implementation, or Delivery Engineers through complex enterprise deployments. You’ll lead a team of 15-20 FDEs while also acting as a senior technical leader on our most challenging customer engagements. You’ll help define the operating model, tooling, and standards that allow an FDE-led delivery organization to move quickly while consistently delivering production-grade solutions and measurable customer value.
What You'll Do as Director, Forward Deployed Engineering
- As a coach:
- Lead a team of 15-20 FDEs in our NORAM region to ensure signed contracts are delivered in production with solid, measurable business value.
- Own the Quarterly Go-live ARR metric for NORAM region.
- Own team operations e.g. monitor signed contracts backlog, manage implementation pipeline, assign project staffing, monitor team capacity, review project milestones, evaluate and sign off project outcomes, etc.
- Scale our FDE-led delivery motion by working closely with Engineering and Product teams to build and maintain the FDE tooling library and ensure flexibility, reusability, and maintainability in the FDE operating system layer.
- Advocate for your team's priorities with Product and Engineering leaders, securing the resources to unblock and accelerate key implementations.
- Hire and develop FDEs to keep pace with the business.
- As a player:
- Act as principal FDE and solution architect on our most complex deployments, owning enterprise, production-grade design.
- Bring technical expertise and authority to lead problem solving sessions with customers' technical teams and Taktile internal engineering teams.
- Provide sharp signal on product-market fit, product gaps, and enhancements back to Product and Engineering
- Remain genuinely hands-on - platform configuration, AI-agent training and evals- and step into delivery work when a project needs it.
About You
- You, first and foremost, truly believe in the FDE-led AI delivery motion. You want to be part of building and running an industry-best FDE team that implement enterprise production-grade AI solutions highly efficiently and at-scale.
- You have 10+ years of experience as an Implementation Engineer, Forward Deployed Engineer, Solution Engineer or an equivalent position within a B2B SaaS company.
- You've led large, multi-quarter enterprise implementations- seven-figure ARR, staffed by cross-functional teams.
- You have strong technical background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science.
- You've managed a team (5+ reports) and can grow one.
- You're still sharp in production Python and SQL, and fluent with REST APIs, batch data pipelines, and data-warehouse integrations.
- You're bilingual in tech and business: you go deep with engineers and talk value and trade-offs with executives.
- You're collaborative, curious, and low-ego- you work well across product, engineering, and GTM teams, and you bring a genuine desire to advocate for customers' successes while maintaining Taktile solution and system principles.
- You can work from our NYC office at least three days per week.
Ideal Qualifications (but not required)
- You have experience in building AI applications within financial services
- You have experience in applying and optimizing statistical and machine learning models to solve business problems.
- You have first hand experience in at least one of our core use cases: business onboarding, business loan underwriting, insurance claim processing, and financial crime / fraud / AML investigation.
- You have experience with at least one of the major cloud platforms (AWS, Azure, GCP).
What We Offer
- Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
- Make an impact and meaningfully shape an early-stage company.
- Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
- Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
- Receive a top-of-market equity and cash compensation package.
- Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
- Use the equipment of your choice including meaningful home office set-up.
Our Stance
- We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
- We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
About Us
Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions—approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at taktile.com http://taktile.com.
About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process.
Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references.
How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right-to-work verification), and, with your consent, to consider you for future opportunities.
Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b)), (ii) legal obligations (Art. 6(1)(c)), and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f)).
Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records.
Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. California residents have additional rights under the CCPA, including the right to know, delete, and correct personal information.
Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review.
International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms.
By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy https://taktile.com/legal/applicant-privacy-policy. To exercise your rights or ask questions, contact privacy@taktile.com.
Location: Los Angeles, USA
Riot’s Enterprise Technology organization ensures Rioters have what they need to unlock their full potential, from efficient business platforms to next-generation AI capabilities.
As a
Staff Data and AI Engineer
on the Enterprise Data & AI team, you will build the governed data foundations that power enterprise analytics, automation, and applied AI. Your primary focus will be data architecture and data engineering, where you will be responsible for designing and operating production data pipelines in Databricks, integrating & curating data through a medallion architecture, and defining semantic and domain models in Unity Catalog with subject-matter experts.
You will also build agents and retrieval-augmented applications directly on this governed data using Databricks capabilities such as Unity Catalog functions, Mosaic AI, and model serving. You will own your systems from architecture through production operations, applying strong engineering, data quality, security, evaluation, and observability practices throughout
The ideal candidate is a hands-on data and software engineer who can turn ambiguous enterprise needs into reliable data products and focused AI-enabled solutions.
The role will report to the Senior Manager, Enterprise Data and AI.
Responsibilities:
Data Pipelines and Semantic Layer (Primary)
Build and operate pipelines that ingest source-system data into Databricks using a medallion architecture across bronze, silver, and gold layers, with lineage, provenance, access controls, and logging.
Partner with subject-matter experts to define and evolve domain, ontology, and semantic models in Unity Catalog, then curate reliable data products into those models.
Own data quality for the pipelines and products you build, implementing tests, monitoring, and alerting so issues surface before they reach downstream consumers.
Integrate enterprise systems through APIs, events, and middleware while applying appropriate authentication, retries, reconciliation, and auditability.
Agents on the Databricks Data Layer (Secondary)
Build production agents and retrieval-augmented applications grounded in governed Databricks data, using Unity Catalog functions as tools and Mosaic AI or model-serving capabilities.
Add authorization, approvals, and auditability for consequential actions performed through agents or AI-enabled orchestrations.
Create evaluation sets and observability for the agents you ship, including groundedness, latency, cost, and production feedback, and use the results to improve them.
Engineering Fundamentals
Apply solid engineering practices, including automated testing, code review, CI/CD, documentation, on-call support, and concise design notes.
Own architecture decisions for your systems and communicate material tradeoffs clearly to technical and business partners.
Required Qualifications:
Bachelor’s degree in a related field, or equivalent practical experience.
8+ years of experience in data engineering, software or application engineering, or an adjacent enterprise technology role.
Hands-on experience building production data pipelines, including ingestion, semantic or domain modeling, data quality, and lineage.
Hands-on Databricks experience, including Unity Catalog, medallion architecture, and Mosaic AI or model serving.
Hands-on experience shipping production AI solutions, such as retrieval-augmented, conversational, or agentic applications, grounded in data pipelines you built.
Proficiency in Python and strong software engineering fundamentals, including testing, code review, CI/CD, deployment, and production support.
Experience integrating enterprise systems through APIs, events, or middleware, including authentication, retries, reconciliation, and auditability.
Experience with an LLM or cloud AI platform such as Vertex AI, Anthropic, or OpenAI and an automation platform such as Workato, n8n, Camunda, or similar.
Working knowledge of data governance, privacy, and security practices applied to production data pipelines and products.
Desired Qualifications:
Experience with the Mosaic AI Agent Framework or Unity Catalog functions used as agent tools.
Experience with enterprise or federated search, vector databases, or permission-aware retrieval.
Experience with agent frameworks such as LangGraph, Pydantic AI, LangChain, or CrewAI.
Experience with LLM or agent evaluation and observability, such as MLflow tracing.
Experience with dimensional modeling or master data management.
Experience integrating Workday, ServiceNow, Coupa, Concur, Oracle, OneStream, or Ironclad.
Experience with GCP or AWS data services, dbt, containers, or serverless computing.
For this role, you’ll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position.
Our Perks:
Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our
benefits pages
for more information.
At Riot Games, we
put players first
. That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application.
It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act.
Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories:
Safeguarding confidential and sensitive Company data
Communication with others, including Rioters and third parties such as vendors, and/or players, including minors
Accessing Company assets, secure digital systems, and networks
Ensuring a safe interactive environment for players and other Rioters
These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.
Location: Singapore
About Nebius:
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
The role: Network Engineer / Sr. Network Engineer
Nebius is an AI-centric purpose-built for intensive GPU using company. As our global footprint accelerates toward multiple gigawatts of capacity, we are establishing our regional network engineering presence in the Asia-Pacific region.
We are looking for a hands-on, high-autonomy
Network Engineer / Senior Network Engineer
to drive the build-out, connectivity, and continuous production operations of our regional data centers, PoPs, and transport fabrics across APAC, with connectivity to EU/the US region and IP transit/PNI services.
In this role, you will be the boots-on-the-ground technical authority in the region. You will bridge low-level physical bringing-up with modern CLOS fabrics, collaborating closely with our core engineering teams in the EU (Amsterdam HQ) and the US within a global follow-the-sun operational model.
This position is fully remote within the APAC region (preferred hubs: Singapore, India), with periodic domestic/regional site visits and occasional sync trips to our engineering headquarters in Amsterdam.
Your Responsibilities Will Include:
End-to-End Infrastructure Ownership:
Take complete operational and deployment ownership of the network stack across APAC sites—ranging from Day-0 Out-of-Band (OOB) part of network as seed , console setups, and management L2 switches to high-scale leaf-spine frontend fabrics (EVPN/VXLAN) 400g/800g/1,6T ready and regional DCI/Backbone boundaries (BGP/MPLS/SRv6).
High-Autonomy Site Bring-up & Operations:
Act independently to triage, debug, and deliver connectivity in fast-moving, greenfield colocation environments. Make sound architectural and operational calls on short notice when counter parts oversight is offline.
Global Collaboration & Follow-the-Sun Alignment:
Partner tightly with core architecture, backbone, and platform teams in the EU and US. Own regional operational handoffs, participate in global on-call rotations, and conduct changes in coordinated regional maintenance windows.
Team Scaling & Knowledge Offloading:
As the APAC team expands, actively onboard new engineers, write rigorous runbooks, and offload operational pipelines to incoming peers to keep the team scalable.
Dynamic Execution:
Operate effectively in a high-velocity environment where quarterly business priorities, cluster locations, and deployment schedules adjust dynamically to customer demand.
We Expect You to Have:
Proven Production Routing & Switching Depth:
Solid hands-on experience operating Service Provider or Scale Data Center networks. Deep working knowledge of BGP, IS-IS (or OSPF), EVPN/VXLAN, SR-MPLS/SRv6, ECMP load balancing, and L3VPN architectures.
CLOS Fabric & L2–L4 Diagnostics:
Strong diagnostic instincts in multi-tier Clos fabrics. Practical mastery of TCP/IP, IPv4/IPv6 dual-stack environments, packet analysis (tcpdump, Wireshark), interface error rates, and QoS queue behavior.
Full-Stack Network Mindset:
Comfort with the entire operational pipeline: you are equally willing to console into an unconfigured management switch/OOB router at an unpolished greenfield site and tune BGP policy on multi-terabit edge borders (Juniper preferred, or relevant cisco/nokia).
Vendor Agility:
Practical configuration and troubleshooting experience across modern network operating systems (Juniper Junos, Cisco IOS-XR, Arista EOS, or NVIDIA/Cumulus).
Startup Agility & Timezone Flexibility:
Proven ability to self-direct, prioritize backlogs under ambiguous requirements, and maintain effective working overlap with European (CEST) and US (EST/PST) teams when critical milestones hit.
Communication:
Professional working proficiency in English, with the ability to document complex systems clearly and communicate concisely under Sev-1 pressure.
It Will Be an Added Bonus If You Have:
Practical scripting and network programmability skills (Python or Go, Git, NetBox, telemetry pipelines).
Practical exposure to high-performance AI networking: RoCEv2 (PFC, ECN/DCQCN, MCR) fabrics.
Experience interfacing directly with regional APAC telecom carriers, dark fiber providers, subsea consortiums, and local Internet Exchanges (e.g., Equinix IX, JPIX, SGIX).
Familiarity with Linux networking fundamentals, bridge-domains, and host-routed container networking (BGP-to-the-host).
Benefits & Perks:
Competitive compensation
Career growth and learning opportunities
Flexibility and ownership
Collaborative and innovative culture
Opportunity to work on impactful AI projects
International environment and talented teams
What's it like to work at Nebius:
Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI
Equal Opportunity Statement:
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
Location: Alpharetta, GA
Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance Solutions, Media Entertainment Solutions, Vehicle Solutions, and Eco Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What we can offer
:
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
We offer an environment that enables colleagues to demonstrate their capabilities, focus on their work and create value. At LG, you're encouraged to take a creative and individual approach to challenges with strong emphasis placed on performance and skill—and equal, merit-based opportunities across the board. We want our colleagues to grow with our global business. That's why we deliver sure rewards for exceptional performance and offer industry-leading benefits. Come join the team!
The Opportunity:
As an Account Manager, you will be a sales professional responsible for growing LG's market share with specified accounts in an assigned territory. You will achieve and/or exceed sales quotas by calling on current and prospective accounts.
As the Account Manager, you will:
Implement strategies to expand LG's market share with The Home Depot account team
Create initial business plans to plan for grow overall revenue, as well as individual product category targets
Participate in the design and execution of the go to market strategy with regular tracking and reporting
Manage forecast accuracy on a weekly basis, constantly analyzing trends and making adjustments at the model level
Align with LG Product Management team on plans to ensure floored models are productive, driving mix, and ultimately positive SKU productivity
Liaison with internal groups and work cross functionally to ensure the business runs properly
Work with Channel Marketing manager on category specific initiatives and putting plans in place to grow both sales and share of voice
Manage administrative tasks such as promotional support, transition costs, tracking sales, etc.
Qualifications:
Bachelor’s degree
5+ years of sales experience (or equivalent experience) with a proven track record of results
Strong relationship builder and outstanding communications skills
Solid business acumen and thought leadership in sales, marketing, operations, finance and account P&L
#LI-DR1
Recruiting Range
$80,000
—
$110,000 USD
Benefits Offered Full-Time Employees:
No-cost employee premiums for you and your eligible dependents for competitive medical, dental, vision and prescription benefits.
Auto enrollment with immediate vesting of competitive company matching contributions in a 401(k) Retirement Savings Plan with several investment options.
Generous Paid Time Off program that includes company holidays and a combined bank of paid sick and vacation time.
Performance based Short-Term Incentives (varies by role).
Access to confidential mental health resources to help you and your loved ones improve your quality of life. Personal fitness goal incentives.
Family orientated benefits such as paid parental leave and support for families raising children with learning, social, behavioral challenges, or developmental disabilities.
Group Rate Life and Disability Insurance.
Benefits Offered Temporary/Contractors:
Eligible for the relevant benefit programs offered through our partner agencies.
Privacy Notice to California Applicants
Applicants who need assistance or a reasonable accommodation during the hiring process may contact our team by phone at: 973-477-7090 or
support@lg4me.freshdesk.com.
This email and phone number will only reply to accommodation requests and is not intended for general employment inquiries.
All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
.
Workplace: remote
Requirements
Programming Languages: Solid expertise in Java, familiar with the modern language features (records, sealed types, pattern matching, virtual threads). The codebase targets Java 25
Framework & API Design: Ability to design public APIs and plugin SPIs consumed by other teams, with a knowledge of binary compatibility, deprecation practice, etc.
Concurrency & Reliability: Solid understanding of multithreading, timeouts, cancellation and interruption
Backend & Services: Knowledge of Spring Boot, background job scheduling, retry and idempotency strategies, and safe allocation of a limited pool of shared resources
Build & Release Tooling: Strong understanding of multi-module Gradle (version catalogs, BOMs, toolchains), publishing to an internal artifact repository (Artifactory or similar), and CI/CD pipelines (GitHub Actions, Jenkins)
Proficiency in Git/Gitflow
Education: Bachelor’s degree in Computer Science, Engineering, or a related field
Nice to have
Architecture & Operations: Containerization technologies (Docker, Kubernetes) and familiarity with monitoring/logging tools (Prometheus, ELK stack, New Relic)
Device Infrastructure: Experience with device farms or a self-managed device lab (HeadSpin, BrowserStack, Sauce Labs), covering session lifecycle, port forwarding and unreliable hardware
Domain & Industry Experience: Experience working within a game development environment or the mobile gaming industry, including reading C# and automating game UIs that expose no native element tree
Mobile Automation: Ability to design and execute automated tests for native mobile applications (Appium, XCUITest, Espresso) across iOS and Android, on both real devices and simulators
Responsibilities
Core Framework Architecture: Design, implement, and maintain the underlying core test automation engine and public/plugin APIs in Java 25
Backend & Infrastructure Orchestration: Develop resilient Spring Boot microservices, job scheduling, and safe resource allocation pools to manage test execution environments
Build & CI/CD Tooling: Configure and maintain multi-module Gradle builds, internal artifact publishing, and automated deployment pipelines
Cross-Team Enablement: Provide stable, well-designed APIs and extension points for AI Agent Developers and Automation QA Engineers building game-specific automated tests
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Dina
hh@itransition.com
Workplace: remote
Requirements
AI Application Engineering: Strong experience delivering LLM-powered features to production rather than to prototype, covering tool use, multi-turn agent loops, structured output, and management of context, latency and cost
Can ship agents as services with authentication, queues and persistent state
Evaluation & Quality: Expertise building evaluation sets and regression suites that detect when a prompt or model change has degraded results with a clear metrics proving that
Programming Languages: Proven expertise in Python
Code Context & Retrieval: Strong experience getting relevant source code in front of a model through repository indexing and symbol or structural search, with the possibility to recognise where embeddings are not the right instrument
Tooling & Integration: Experience with Model Context Protocol (MCP) or comparable tool-server design, including tool granularity and returning errors to the model in a form it can act on
Safety & Guardrails: Solid understanding of permission boundaries, dry-run modes and human review gates for agents that modify repositories and drive physical devices
Agent Observability: Familiarity with tracing agent runs, tracking token spend per feature
Nice to have
Cross-language Reading: Ability to read Java and C# well enough to reason about a JVM automation engine and the Unity clients it drives
Test Automation Understanding: Solid understanding of what makes an automated test flaky (timing, ordering, state leakage, genuine product defects) and of why a passing test is not evidence that a defect was fixed
Domain & Industry Experience: Experience working within a game development environment or the mobile gaming industry, or with Unity
Responsibilities
Agent Architecture & Engineering: Develop and deploy production LLM-powered services in Python using multi-turn agent loops, structured outputs, and tool integration
Tooling & Protocol Integration: Design robust tool-server integrations (MCP or similar) connecting AI agents with the underlying Java core framework and device infrastructure
Code Context Retrieval: Build repository indexing and code search mechanisms to optimize context feeding for LLM models during test generation and execution
Evaluation, Safety & Observability: Establish continuous evaluation suites, model regression detection, safety guardrails, token tracking, and agent run tracing
We offer
Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate
Any questions?
Veronika
hh@itransition.com
Location: Lithuania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: Romania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Требуется Python разработчик для работы над крупными финтех/телеком/ритейл проектами.
Задачи:
— Работа над крупными финтех/телеком/ритейл проектами
Требования к кандидату:
— Опыт разработки не менее 3х лет
— Опыт разработки на FastApi не менее 2х лет
— Сложность алгоритмов
— Структуры данных
— Уметь читать и работать с UML, BPMN, диаграммы запросов
— RESTful
— Asyncio
— FastAPI
— SQL
— Алхимия
— PyTest
— Postgres
— Redis
— Flake8
— SonarQube
— Docker
— Ci/Cd
— Redis
— Kafka/RabbitMQ
— принципы SOLID
Условия работы:
— full-time
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
About the team
Engineering the future of customer support — at global scale
🌍
We believe exceptional customer service is more than just a feature, it’s a fundamental part of who we are. That’s why we’ve built our own internal support tooling from the ground up, tailored to help our customer, courier, and merchant support teams shine in every interaction.
As we scale our operations from 30 to 60 countries, supporting millions of users and partners, our internal tools need to scale with us. The Support Engineering group is at the heart of this mission. We build high-performance admin applications and core operational tools that empower our support teams to work smarter and faster. A key part of this is our in-house chat platform, which already handles around 5 million conversations every month. On top of this foundation, we’re developing advanced features to reduce manual work, improve communication, and proactively resolve issues — often before our users even notice them.
Our systems range from automated reach-outs for delayed orders to deeply integrated tools that enable our support teams to deliver assistance quickly, reliably, and with a human touch. By removing inefficiencies and automating repetitive tasks, we’re ensuring that our users and partners receive world-class support at scale.
About the role
We’re now looking for a
Backend Engineer (Golang)
to join us in building scalable, low-latency systems that power these tools and shape the future of customer support. You’ll work on impactful products that directly influence how millions of people experience our platform every day.
What you'll be doing
Build and maintain high-throughput backend services using
Go
.
Collaborate with product managers, designers, and frontend developers to ship features that support internal support agents across the globe.
Design systems that are
scalable
,
resilient
, and easy to maintain.
Contribute to architectural discussions and technical decision-making.
Write well-tested code and help the team maintain high code quality standards.
Requirements
3+ years
of professional software engineering experience, with a proven track record of building and scaling complex systems.
Production experience in
Golang
, with an interest in developing strong engineering practices.
Strong hands-on experience with both
SQL and NoSQL databases
— especially Cassandra.
Solid understanding of designing and operating
low-latency, high-throughput distributed systems
.
Previous
on-call experience
, with a pragmatic approach to reliability and incident management.
Nice to have
Background in
Node.js
or other backend languages.
Familiarity with
cloud infrastructure
(AWS, GCP) and event-driven architectures.
Why Deliveroo
Our mission is to transform the way you shop and eat, bringing the neighbourhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.
We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Задачи:
— Создание и развитие IT решения в рамках команды, сосредоточенной на выделенном проекте.
— Реализация интеграционных решений и сервисов взаимодействия между внутренними и внешними системами.
— Разработка и поддержка backend и frontend части продукта, активное участие в Fullstack-цикле.
— Участие в выработке новых решений и вектора развития продукта, включая выбор оптимальных технологических стеков.
Требования:
— Высшее техническое образование.
— Опыт работы ведущим разработчиком (и выше) от 3-х лет.
— Опыт работы в Fullstack-роли (C# + React) приветствуется.
Технические навыки:
Backend (C# / .NET): уверенное знание C# dotnet ASP .NET Core, gRPC, EF Core; ООП, SOLID, паттерны проектирования; знание DDD, Onion/Clean/Vertical Slice архитектур, SOA, CQRS; опыт разработки микросервисной архитектуры.
Интеграции и API: опыт работы с REST API/gRPC; знание архитектуры REST API/gRPC/Web сервисов; опыт проработки архитектуры комплексных интеграционных решений.
Событийные архитектуры и брокеры сообщений: опыт работы с событийными архитектурами и брокерами сообщений; приветствуется опыт работы с библиотекой Rebus.
Базы данных: понимание архитектуры реляционных и векторных СУБД, опыт проектирования логической модели данных; уверенное знание T-SQL, опыт работы с MSSQL и PostgreSQL.
Frontend (React): опыт коммерческой разработки на React не менее 1 года; понимание современных подходов React (Hooks, Context, Suspense, React Query); приветствуется опыт работы с Module Federation для микрофронтендов; опыт использования UI-китов (Material-UI, Ant Design и аналоги) и кастомизации компонентов; знание стейт-менеджеров (Redux Toolkit, Zustand, MobX); опыт работы с TypeScript.
Контейнеризация и DevOps: опыт работы с Kubernetes, OpenShift, Docker; опыт построения мониторинга с Grafana stack/Otel; опыт работы с CI/CD процессами.
Методологии и инструменты: приветствуется опыт использования ИИ-инструментов, Spec-Driven Development, AI-агентов; ведение процесса с Jira, Confluence, GitLab; работа по Agile/Scrum.
Условия:
— Удалённый формат работы с возможностью гибрида в офисе в Москве.
— Гражданство РФ.
— Полная занятость, любой вид оформления (ТК РФ, ТД в приоритете).
Location: Belgrade; London; Remote; Berlin
Perplexity is looking for a highly skilled Expert Systems Engineer to join our Search Core team. For the indexing and data processing stream. This role is critical to building next-generation search products and technologies.
Responsibilities
- Design and build core search engine components, especially indexing pipelines, data storage formats that operate at the scale of billions of pages
- Develop streaming and batch data processing with YT systems for search index construction in a high-load environment
- Push the limits of hardware performance through low-level optimizations and systems-level tuning
- Tackle challenges in multithreading, concurrency, and system-level optimization
- Design and build core search engine components, including indexing pipelines, retrieval algorithms, and ranking systems that operate at the scale of billions of pages
- Develop streaming and batch data processing systems for search index construction in a high-load environment
- Push the limits of hardware performance through low-level optimizations and systems-level tuning
- Tackle challenges in multithreading, concurrency, and system-level optimization
Qualifications
- 3+ years of hands-on experience in systems programming (Rust, C++, C, or similar)
- Ownership of full project lifecycle you don't just write a fast inner loop, you care about how the system is built, deployed, operated, and scaled in production
- Knowledge of Python or other scripting languages
- Knowledge of Data processing systems (YT/Kafka/Hadoop)
- Passion for writing clean, efficient, and scalable systems-level code
- Strong knowledge of algorithms and data structures, and the ability to apply them effectively
- Deep understanding of multithreading, including various approaches, challenges, and trade-offs
- Experience building high-load, distributed, and hardware-adjacent services
- Solid understanding of Linux internals (syscalls, networking stack, memory model, kernel tuning)
- Familiarity with low-level optimization techniques (memory management, cache efficiency, SIMD, profiling)
Nice to have
- Experience developing core components of search engines, databases, or information retrieval systems
- Understanding of search fundamentals: indexing, query parsing, ranking, and relevance
- Experience with trading systems or other latency-sensitive real-time systems
- Familiarity with cloud services, Kubernetes, and AWS infrastructure
Belgrade; London; Remote; Berlin
Istanbul, Turkey
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Singapore; Startup Agility & Timezone Flexibility:; Proven ability to self-direct, prioritize backlogs under ambiguous requirements, and maintain effective working overlap with European (CEST) and US (EST/PST) teams when critical milestones hit
Alpharetta, GA
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London, United Kingdom - Deliveroo; We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
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