О РОЛИ
Ищем инженера для развертывания и оптимизации облачной инфраструктуры на AWS. Основной фокус — внедрение принципов GitOps, обеспечение безопасности и создание отказоустойчивых CI/CD конвейеров для международного B2B продукта.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Infrastructure as Code: Развертывание и обслуживание облачной среды AWS с использованием Terraform.
— GitOps: Внедрение методологии GitOps для управления состоянием приложений и инфраструктуры.
— CI/CD: Разработка и поддержка пайплайнов для автоматизированной сборки и тестирования.
— Automation: Автоматизация рутинных процессов развертывания и администрирования.
— Security: Обеспечение и контроль безопасности облачных ресурсов.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Опыт: От 3 лет в ролях DevOps, SRE или Platform Engineer.
— Cloud: Практический опыт работы с сервисами AWS.
— Tools: Уверенное владение Terraform, Kubernetes и Helm.
— OS & Scripting: Глубокие знания Linux и написание скриптов на Bash.
— Networking: Понимание основ TCP/IP, DNS и протоколов HTTP/S.
БУДЕТ ПЛЮСОМ
— Навыки работы с ArgoCD или Flux.
— Опыт с распределенными системами (Kafka, RabbitMQ, Redis Cluster).
— Использование инструментов масштабирования (Karpenter / Cluster Autoscaler).
— Навыки программирования на Python или Go.
ЧТО МЫ ПРЕДЛАГАЕМ
— Работа в сильной международной технической команде.
— Полная свобода в выборе локации (кроме РФ/РБ).
— Прозрачные перспективы карьерного и профессионального роста.
Задачи:
— Проектирование и реализация бэкенд-микросервисов и API, интегрируемых с фундаментальными моделями для обработки документов и чертежей.
— Построение масштабируемых стратегий маршрутизации запросов, кэширования и очереди для вывода, способных выдерживать резкие всплески нагрузки.
— Реализация CI/CD и механизмов наблюдения за состоянием конвейеров вывода (логирование, метрики, оповещения).
— Развёртывание и эксплуатация сервисов в Kubernetes (ответственность за развёртывание, выкатку и проверку здоровья; администрирование кластера обеспечивается платформой/SRE).
— Интеграция сервисов с услугами AWS и обеспечение правильной идентификации доступа (IAM) и наименьшей привилегии для межсервисного взаимодействия.
— Сотрудничество с учёными по данным и инженерами машинного обучения (они отвечают за обучение моделей; вы за интеграцию в производство).
— Формирование производственных практик эксплуатации вывода, включая поддержку инцидентов на уровне службы.
Требования:
— Минимум 5 лет опыта создания промышленных бэкенд-систем и API на Python.
— Опыт проектирования и эксплуатации распределённых микросервисов (масштабируемость, маршрутизация, кэширование, режимы отказов).
— Практический опыт работы с AWS и интеграции внешних API моделей (преимущественно через Bedrock).
— Опыт промышленной эксплуатации сервисов в Kubernetes (ответственность за развёртывание и эксплуатацию приложений; инфраструктура кластера поддерживается платформой).
— Опыт работы с CI/CD, знание GitHub Actions.
— Твердые практические знания по IAM и основным принципам безопасности в облаке.
— Понимание логирования и наблюдаемости, умение проектировать конвейеры для анализа.
— Опыт работы с Terraform или иными инструментами инфраструктуры как кода (IaC).
— Способность ясно и убедительно передавать решения по проектированию систем и предыдущие проекты.
Будет плюсом:
— Опыт интеграции GenAI и LLMs (Bedrock, маршрутизация API, выбор моделей).
— Опыт работы с конвейерами обработки изображений и документов (OCR, предобработка изображений, распознавание технических чертежей).
— Опыт с паттернами оркестровки выводов (асинхронные работники, батчинг, оркестровка GPU) или знакомство с нагрузками на GPU.
— Знание инструментов жизненного цикла ML (MLflow, регистры моделей, трекинг экспериментов).
— Опыт работы с сервисами реального времени и пакетной обработки выводов, хранилищами признаков или производственной средой SageMaker.
Условия:
— Удалённая работа.
— Полная занятость, проектная работа до конца года с возможным продлением.
— Работа в англоговорящей команде, часовой пояс Германии.
Location: Tbilisi; Belgrade; Budapest; Madrid; Riga; Tallinn; Valencia; Vilnius; Yerevan
Workplace: remote
About us:
Planner 5D is a global hub for home design, uniting over 100+ million users in 230 territories around our planet (yes, we have 2 users connecting from Antarctica each month!). Our platform simplifies the home renovation process from concept to execution, and this process has never been more straightforward with our cutting-edge software. You don't need to be a professional designer to enhance your home or workspace. We are dedicated to streamlining the design experience, making the customization of dream homes accessible to everyone.
Our cross-platform presence spans Web, iOS, Android, Windows, and MacOS, ensuring seamless synchronization for our users. Planner 5D is more than just software; it's a vibrant community of enthusiastic and product-oriented professionals. From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market.
We are constantly looking for like-minded talent eager to take ownership and drive innovation within our expanding suite of tools. Join us in shaping the future of home design.
We are searching for an AI / Machine Learning Researcher to join our AI team and focus on applied research for real-world product challenges. You will work with raw data, explore new approaches, formulate and test hypotheses, and build prototypes and MVP solutions that can later become production features within the Planner 5D platform.
You will:
Conduct applied research in AI/ML to solve real-world problems related to home design, 2D/3D data, and visual understanding.
Work with raw and unstructured data (images, 3D point clouds, text, video) to identify useful signals and formulate research directions.
Generate and test hypotheses through experiments, modeling, and data analysis.
Design and implement prototypes and MVP solutions, validating ideas before production implementation.
Train, evaluate, and iterate on machine learning and deep learning models.
Contribute to the development of AI-driven features, including computer vision systems and AI agents.
Collaborate with engineers to translate research prototypes into production-ready solutions.
Provide algorithm-level support for deployed models, improving and adapting them as new data or requirements emerge.
Requirements
4+ years of experience in AI/ML research or applied machine learning.
Strong background in mathematics and computer science, including statistics, optimization, linear algebra, and algorithms.
Solid understanding of machine learning and deep learning methods.
Experience working with real-world datasets, including data exploration, cleaning, feature extraction, and experimental validation.
Proficiency in Python and common scientific/ML libraries (NumPy, SciPy, Pandas, etc.).
Experience with deep learning frameworks such as TensorFlow or PyTorch.
Familiarity with computer vision or multimodal AI (images, video, 3D data such as point clouds and meshes).
Ability to independently formulate research hypotheses, design experiments, and evaluate results.
Strong analytical thinking and ability to solve complex problems with limited prior solutions.
Nice to have
Experience with 3D data processing (point clouds, meshes, spatial data).
Experience building or experimenting with AI agents or LLM-based systems.
Experience training and fine-tuning neural networks.
Interest in geometry, graph theory, or computational geometry.
What we offer:
- Great work environment that balances freedom and responsibility
- Our team is made up of friendly and passionate enthusiasts who are eager to help and share their knowledge
- We believe in work-life balance, so you'll receive around 30+ days of paid holidays per year
- Company computer equipment by request
- Education courses for our team members, and we're willing to allocate funds toward your training expenses
- English classes on our corporate platform
- Offline company events in Lithuania and online team-building
- Unlimited free Planner5D subscriptions
Location: Berlin (Germany)
About The Role
At thinkcell, we are continuously improving how professionals create business presentations by introducing smarter automation and assistance features into our product. In this role, you will help turn new ideas and early AI-driven concepts into reliable features used by more than 1.3 million users worldwide.
You will build production-ready systems that connect modern backend services with intuitive user interfaces. In this role, you will work closely with both C++ engineers developing the core product and AI engineers exploring new automation capabilities, helping bring new functionality from concept into everyday product usage.
This role is ideal for engineers who enjoy building clean, scalable systems, care deeply about code quality, and are motivated by shipping impactful features in a highly collaborative engineering environment.
What you will do
Build and maintain production-ready backend and full-stack features using TypeScript
Integrate AI-powered functionality into the thinkcell product, such as text editing assistance and automated slide creation
Work closely with
C++ engineers and AI engineers
to translate ideas and prototypes into robust product features
Contribute to a strong engineering culture with rigorous code reviews and high standards for code quality
You will be great for this position if you have
A degree in computer science, mathematics, physics, or a similar technical field
Relevant experience as a backend or full-stack engineer
Strong experience with TypeScript and Node.js in production environments
Curiosity about AI technologies and interest in integrating them into real-world products
Experience with Python or C++ is a plus
What We Offer
Brilliant Team: Work with international colleagues with strong academic and professional experience
Work–life balance: Flexible working hours and an environment that respects your time and focus.
Stable Environment: Join a market leader with a reliable product.
Direct Exposure to C-level
Competitive salary & Relocation Support to Berlin
Our Values
As part of our team, you will embody and help shape the following principles that define us:
Forward Thinking
: We embrace change and challenge the status quo.
Ownership
: We take pride in our work and learn from our mistakes.
Customer First
: We prioritize delivering lasting value.
Unified Team
: We foster collaboration, respect, and integrity.
Strive for Excellence
: We set ambitious goals and pursue quality.
We believe in a human hiring process, every application is personally reviewed.
Why is thinkcell the right place for you?
We empower over 1.3 million users across 35,000 companies, including top consulting firms and major global enterprises. With offices in Berlin, Munich, Denver, Boston, London, Tokyo, and Dubai, we’re a diverse team of over 240 people, committed to innovation and excellence.
thinkcell is more than a job – it's a chance to be part of an innovative, inclusive team that values collaboration and growth. We encourage applicants from all backgrounds to apply. Together, we can shape the future of productivity software. We can’t wait to see what you’ll bring to the team!
Location: South Africa; Philippines; Mexico; Colombia; Argentina; Uruguay
About Huzzle
At Huzzle, we connect high-performing professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle.
Role Type: Full-time
Engagement: Independent Contractor
Job Summary
We are seeking a highly proactive
AI Automation Engineer
to help design, develop, and deploy custom AI-powered automation systems.
Working closely with the CTO, you will help pioneer AI builds using
Claude Code, n8n, and automation frameworks
, delivering solutions that improve efficiency and solve real-world operational challenges for clients.
This role is
client-facing
, meaning strong communication skills and the ability to recommend improvements or alternative solutions are essential. The ideal candidate is someone who enjoys problem-solving, building systems from scratch, and finding smarter ways to automate complex workflows.
Key Responsibilities
Design and build
AI-powered automation systems
using Claude Code, n8n, and related platforms.
Develop custom workflows that integrate AI capabilities into business operations.
Collaborate closely with the CTO to
prototype and deploy new automation solutions
.
Build and maintain
scalable AI workflows and automation pipelines
.
Troubleshoot, debug, and optimize existing automation builds.
Work directly with clients to understand requirements and recommend the most effective AI solutions.
Proactively identify opportunities to simplify or improve system architecture.
Contribute ideas, improvements, and technical insights to strengthen project outcomes.
Document builds and processes to support long-term system scalability.
Requirements
Proven experience building
automation workflows with n8n
.
Hands-on experience working with
Claude Code or similar AI coding environments
.
Strong problem-solving ability and a proactive mindset.
Ability to communicate technical concepts clearly in
client-facing conversations
.
Comfortable working in a
fast-paced startup environment
where processes are evolving.
Experience building automation systems that improve operational efficiency.
Strong initiative and willingness to recommend better technical solutions.
Nice-to-Have Skills
Programming experience (Python, JavaScript, or similar).
Experience with
Make.com or other automation platforms
.
Knowledge of
Supabase or similar backend infrastructure tools
.
Experience with debugging and bug fixing in complex workflows.
Experience designing
AI-powered infrastructure or scalable automation systems
.
Background in AI integrations or workflow orchestration.
Benefits
💻 Fully Remote: Work from anywhere with international teams
🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services
🤝 Peer Community: Connect with high-performing sales professionals in our network
🧭 Ongoing Support: Receive guidance from Huzzle before and after placement
💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals
Location: United Kingdom; Denmark; Portugal; France; Spain; Germany; Italy; The Netherlands
Workplace: Remote
About the role
We are committed to providing our customers with reliable and secure services so we are expanding our central Site Reliability Engineering team. You will be responsible for building and leading processes to ensure the reliability, availability, scalability, and performance of our cloud infrastructure. You will collaborate with different teams like Control Plane, Data Plane, Core, Security, Support and Operations and guide them to design and implement scalable, secure, highly available and fault-tolerant distributed systems. You will also own the areas of incident management and response, post-mortem analysis including running blameless postmortems, and continuous improvement of our Cloud services. You will be leveraging your software engineering expertise to develop software platforms and tools to optimize the operational and engineering efficiencies of ClickHouse Cloud. This role is a unique opportunity to make a significant impact on our elastic, limitless scale, high-performance ClickHouse Cloud.
What will you do?
- Collaborate with various engineering teams in ClickHouse to design and implement scalable, secure, and highly available systems for ClickHouse.
- Establish and manage service level objectives (SLOs) and service level agreements (SLAs) for ClickHouse Cloud.
- Ensure all the infrastructure components in ClickHouse Cloud (including Data Plane, Control Plane,ClickHouse Core, etc) have monitoring and alerting in place to ensure timely detection and resolution of incidents.
- Enhance and refine incident response processes and post-mortem analysis for any outages in ClickHouse Cloud including working with the support team to communicate to the impacted customers.
- Continuously improve the reliability and performance of our ClickHouse services.
- Plan, enable, and drive Chaos initiatives across Engineering teams, based upon internal priorities.
- Manage on-call processes to respond to performance and reliability issues, and establish best practices for coordinating escalation to resolve issues and minimize downtime.
About you:
- Bachelor’s or Master’s degree in Computer Science or a related field.
- At least 8 years of experience in Site Reliability Engineering or a related field.
- Hands-on experience with Go and/or Python.
- Strong knowledge of cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Excellent understanding of distributed databases and SQL, particularly ClickHouse is a major plus.
- Hands-on experience with container orchestration tools such as Kubernetes or Docker Swarm.
- Strong experience with automation and configuration management tools such as Ansible, Terraform, or Puppet.
- You are a strong problem solver and have solid production debugging skills.
- You are passionate about efficiency, availability, scalability, and data governance.
- You thrive in a fast paced environment, and see yourself as a partner with the business with the shared goal of moving the business forward.
- You have a high level of responsibility, ownership, and accountability.
- Excellent communication and interpersonal skills.
#LI-Remote
PERKS
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
- Healthcare - Employer contributions towards your healthcare.
- Equity in the company - Every new team member who joins our company receives stock options.
- Time off - Flexible time off in the US, generous entitlement in other countries.
- A USD$500 Home office setup if you’re a remote employee.
- Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
CULTURE - WE ALL SHAPE IT
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse.
EQUAL OPPORTUNITY & PRIVACY
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.
Location: Lisbon, Portugal
About the Role
iCapital is looking for a
Full-Stack Engineer
to join the
iCapital Identity Platform
team. This role will help define and deliver new features for one or more of iCapital's software platforms. You will work closely with Product Management and Design throughout the software development lifecycle—scoping requirements, reviewing work in progress, and addressing issues uncovered during automated and manual testing.
The iCapital Identity frontend uses
TypeScript
,
React
,
GraphQL
, and
Relay
. The backend is built in
Elixir/Phoenix
, with some
Go
and
Node.js
, backed by
PostgreSQL
. Our infrastructure runs on
AWS
and is provisioned using
Terraform
.
Responsibilities:
Leverage an
Elixir + Phoenix
backend running on Amazon’s latest serverless technologies to power a
TypeScript + React
frontend
Support existing products and features while helping design and build new ones
Design and develop integrations with other iCapital platforms
Collaborate regularly with stakeholders and partners to gather requirements, seek feedback, and provide updates
Qualifications:
10–15+ years of experience in a related field
Strong understanding of modern browser technologies and web fundamentals (HTTP, cookies, CSP, CORS, etc.)
Extensive experience developing full-stack web applications
Experience in collaborative environments where engineers define project vision, influence technical strategy, and continuously learn
Strong relational database fundamentals
Excellent written and verbal communication skills
Demonstrated proficiency and professional success coding in at least one programming language
Experience with Linux and strong command-line skills
Preferred/Additional Experience
Writing production-ready code in
Elixir
,
Python
,
TypeScript
,
JavaScript
,
Go
, or
Ruby
Optimizing queries in
PostgreSQL
Developing with
React
,
Vue
,
Angular
, or
LiveView
Deploying and configuring applications on
Amazon Web Services (AWS)
Prior experience in a security or penetration-testing role
Querying
Google BigQuery
or other large relational datasets
Technical leadership, team lead, or management experience
We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office four days, with the flexibility to work remotely one day (Friday).
Benefits
iCapital offers a comprehensive benefits package that includes a total compensation program consisting of competitive salary, annual performance bonus, and equity for all full-time employees; healthcare with 100% employer-paid health and dental insurance; and generous paid time off (PTO).
For additional information on iCapital Network, please visit
https://www.icapitalnetwork.com/about-us
Twitter: @icapitalnetwork | LinkedIn:
https://www.linkedin.com/company/icapital-network-inc
Location: Berlin, Germany
Workplace: hybrid
Berlin • Cybersecurity & AI Startup • Recently Funded
A newly funded cybersecurity startup in Berlin is looking for a
Backend Engineer(Go)
to join as a founding team member and help design the core security, identity, and enforcement foundations of a next-generation AI-powered security risk management platform.
We are an early-stage startup founded by experienced cybersecurity leaders with backgrounds in Israeli Intelligence units. We are looking for a hands-on
Founding Backend Engineer(Go)
for a hybrid role based in central of Berlin. If you are passionate about cybersecurity and AI tech, thrive in fast-paced startup environments, and enjoy building complex platforms from the ground up, this is an opportunity to make a real impact.
They’re building a next-generation cyber risk platform that helps enterprises understand, measure, and reduce identity risk at scale. Their goal is to turn complex identity and security data into clear, actionable risk insights that CISOs and CTOs can trust. You will work from scratch on core platform components from day one, shaping how modern enterprises manage and reason about risk using cloud-native systems, AI-driven analysis, and automated enforcement through AI agents.
Key Responsibilities
Develop and maintain
backend applications
using Go
Design and optimize cloud-based solutions using
AWS services
(EC2, Lambda, S3, SQS, SNS, etc.)
Design, use and manage
databases
, including PostgreSQL, Neo4J, Redis, and Elasticsearch
Develop, manage, and optimize
containerized applications
using Docker
Automate processes
using Bash/Python scripting
Optimize and maintain
RESTful APIs
, ensuring security and performance
Work closely with frontend engineers, DevOps, and product team
to deliver robust applications
Monitor, debug, and improve
backend performance
, reliability, and scalability
Implement
caching, messaging queues, and event-driven architectures
where needed
Build whole platform
from scratch
Must have skills
5+ years
of
GoLang
experience
Hands-on coding mentality;
can build things from scratch and familiar with different architectures
Hands-on experience with
Docker, Kubernetes
(EKS) and containerized workloads
Experience designing
RESTful
and
gRPC
APIs and using frameworks like
Gin
Hands-on experience with messaging systems (e.g.,
SQS
,
Kafka
)
Experience with
CI/CD pipelines
(GitHub Actions or similar)
Experience operating
PostgreSQL (RDS / Aurora), Neo4J(or similar)
Experience with
AI agents
, LLM-based systems, MCP, RAG, Prompts, Embeddings, Vector, etc
Experience with
AI stack
(AWS Bedrock, LangChain, pgvector or similar)
Experience with
Infrastructure as Code
(Terraform)
Experience with
monitoring, logging, observability
(Grafana, OpenTelemetry, Prometheus)
Ability to
troubleshoot
production issues end to end
Experience with
Coding CoPilots
(Claude Code, GitHub Copilot, AWS CodeWhisperer, Codex, etc.)
Experience supporting
production SaaS platforms
Strong understanding of
SaaS integrations
and app-to-app permission flows
High ownership mentality, startup mindset, and ability to move quickly
Experience in
startup or scale-up environments
Low ego, high commitment, and a
true tech startup mentality
Strong
problem-solving skills
and ability to work in a collaborative environment
Excellent
English
communication skills
Nice-to-have requirements
Experience working with
Java
Ability to code in
Python
Experience with security architecture, identity security, or
security engineering
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Experience with
AWS
in production environments
Exposure to
graph-based modeling
(identity graph, access graph, risk graph)
Familiarity with
compliance frameworks
(NIS2, DORA, ISO 27001, SOC 2)
Understanding of
OAuth/OIDC, API tokens, IdP, scopes, SSO, SCIM, roles, RBAC/ABAC, service accounts
Familiarity with cloud identity and security controls (e.g.
IAM, CloudTrail, Azure Active Directory / Entra ID
)
Hands-on with SIEM platforms such as
Splunk, Microsoft Sentinel, or IBM QRadar
Experience designing
permission models, identity graphs, or access control frameworks
Knowledge of tokenization,
Zero Trust principles
, least privilege, and continuous verification
Experience with Security related to
AI/LLM systems, agent logic, or willingness to learn fast
Familiarity with
AI agent behavior
, LLM security, or agent sandboxing
Previous experience in
cybersecurity
, identity startups
You are a fan of
rock or metal
music
Excellent
German
communication skills
Benefits
Founding Team Member Equity
— ESOPs in a cybersecurity company
Competitive Compensation
— salary aligned with market, flexible early-stage arrangements possible
Founding Team Member Status
— shape the company from day one and own critical technical decisions
Fresh Funding Secured
— immediate runway to build, hire, and execute fast
Security Contribution
— contribute to security architecture across identity, AI agents, and enforcement
High Autonomy
— freedom to design and build without corporate overhead
Work with a Technical CEO and CPTO
— fast iteration, strong alignment, clear direction
Cutting-Edge Domain
— identity security, SaaS-to-SaaS access, AI agent governance
Massive Learning Curve
— quickly gain depth in cybersecurity, identity, and AI systems
Fast Career Path
— opportunity evolve into leadership as we scale the engineering team
Berlin Location
— top-tier tech environment with strong cybersecurity and AI ecosystems
Direct Impact
— your architecture and code become the foundation of the entire platform
Best Equipment and Tools
- High quality equipment and modern tools to help you do your best work from day one
Team Offsites -
Regular team offsites designed to build strong connections, alignment, and shared momentum
О ПРОЕКТЕ
TrustMe — казахстанский SaaS-стартап, создающий экосистему для ЭДО, AI-автоматизации и цифровых бизнес-процессов. Мы масштабируем продукты в сферах FinTech, LegalTech и Cybersecurity для B2B и государственного сектора. Сейчас мы ищем архитектора, готового внедрять Web3-решения и работать над токенизацией активов (RWA).
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— System Design: Проектирование архитектуры компонентов, баз данных и логики блокчейн-цепочек.
— Smart Contracts: Разработка на Solidity под EVM с фокусом на безопасность и оптимизацию газа.
— Backend & Orchestration: Создание API-шлюзов и распределенных систем на Go, Python или Node.js.
— Web3 Infra: Работа с оракулами (Chainlink), индексаторами (The Graph) и децентрализованными хранилищами (IPFS).
— AI Integration: Активное использование современных ИИ-инструментов (Cursor, Copilot) для ускорения разработки.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Expertise: Опыт в FinTech, Neobanking или сложных Enterprise SaaS проектах.
— Skills: Понимание принципов биллинга, учета активов и построения отказоустойчивых систем.
— Background: Опыт работы в R&D крупных IT-компаний или финтех-стартапах стадий Series A/B.
— Mindset: Инициативность, здравый смысл и готовность работать в High-Stakes проектах, где важна точность каждого решения.
ПОЧЕМУ СТОИТ ПРИСОЕДИНИТЬСЯ
— Собственность: Возможность получить опцион и стать совладельцем компании.
— Масштаб: Реальные кейсы внедрения в госсектор и крупный ритейл.
— Гибкость: Гибридный формат работы и возможность выбора графика.
— Развитие: Поддержка обучения, сертификации и сильная инженерная культура.
О ПРОЕКТЕ
Douro Labs — команда, стоящая за развитием Pyth Network, ведущего оракула первого уровня для DeFi. Мы создаем инфраструктуру, которая поставляет высокоточные рыночные данные в реальном времени для крупнейших протоколов. Работа у нас — это участие в Open Source проектах, которые определяют стандарты индустрии.
ВАШИ КЛЮЧЕВЫЕ ЗАДАЧИ
— Core Development: Разработка и поддержка on-chain и off-chain компонентов экосистемы (смарт-контракты, SDK, утилиты).
— Product Impact: Участие в формировании Roadmap продукта совместно с бизнес-командой.
— Developer Experience: Создание удобной документации и инструментов для сообщества разработчиков.
— Mentorship: Поддержание высоких стандартов кода и обучение младших инженеров.
— Operations: Участие в периодических дежурствах (on-call) для обеспечения стабильности сети.
ЧТО МЫ ЖДЕМ ОТ ВАС
— Опыт: 4+ года в коммерческой разработке ПО. Опыт с safety-critical системами будет преимуществом.
— Backend Expertise: Глубокое понимание низкоуровневых языков (Rust, C++). Опыт в блокчейне желателен, но не обязателен при сильном бэкграунде в системном программировании.
— Agility: Готовность к быстрому темпу DeFi-стартапа и изучению новых технологий (Solidity, TS, Python).
— Communication: Отличные технические коммуникационные навыки для работы в международной команде.
ПОЧЕМУ ЭТО КРУТО
— Работа над ключевой инфраструктурой мирового рынка данных.
— Полная свобода в выборе локации (Remote Worldwide).
— Экспертная среда и возможность внести вклад в развитие глобальной DeFi-экосистемы.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the Role
As a Transformative AI Research Economist at Anthropic, you will build macroeconomic models of AI that could be genuinely transformative and develop the scenario-based forecasting tools that let us reason quantitatively about economic trajectories with no historical precedent. You will work on questions of aggregate growth, income distribution, and economic governance under scenarios that most of the profession has not yet modeled seriously.
You will ground projections in microeconomic signals from the
Anthropic Economic Index
— usage patterns across millions of real-world AI interactions, surfaced through privacy-preserving measurement — so that scenario forecasts are disciplined by what we actually observe about task transformation and productivity. You will use frontier methods in growth theory, computational macro, and structural estimation, and contribute to AI-powered tools that expand what economic research can do.
Our team combines rigorous empirical methods with novel measurement approaches. We're building first-of-its-kind datasets tracking AI's impact on labor markets, productivity, and economic transformation. Using our
privacy-preserving measurement system
, we
analyze millions of real-world AI interactions
to understand how AI augments and automates work across different occupations and tasks.
Responsibilities
Build macroeconomic models of transformative AI spanning growth, labor markets, and income distribution
Develop and maintain scenario-based forecasting tools; publish forecasts for GDP, productivity, and unemployment under a range of AI-capability trajectories
Ground macroeconomic projections in microeconomic data from the Anthropic Economic Index, constraining theory with observed patterns of adoption and task transformation
Analyze questions of income distribution and economic governance under transformative-AI scenarios
Contribute to the development of AI-powered research tools for economics
Contribute to Economic Index Reports and publish Research Briefs on first-order questions as they arise
Build and maintain relationships with academic institutions, policy think tanks, and other research partners
Amplify external engagement through research publications, policy briefs, and presentations to diverse stakeholders
You May Be a Good Fit If You Have
PhD in Economics, or an exceptional candidate close to completion
Background in macroeconomics, growth theory, or public finance ideally with exposure to task-based frameworks and labor economics
A research record that engages seriously with the possibility of transformative AI — you treat the scenarios in this posting as live questions worth modeling rigorously, not speculation to be hedged against
Relevant experience in some of:
Macroeconomic modeling and structural estimation
Scenario-based and time-series forecasting
Task-based approaches to technological change
Computational methods, agent-based modeling, or large-scale simulation
Income distribution and inequality
Using large language models in the research workflow
Technical skills including:
Proficiency in Python, Julia, or similar for computational economics
Facility with AI coding agents as part of a research workflow
Comfort learning new technical tools and frameworks
Demonstrated ability to:
Lead research projects from conception to publication
Ship on tight timelines and revise in public as new data arrives
Communicate technical findings to diverse audiences
Strong interest in ensuring AI development benefits humanity
Some Examples of Our Recent Work
Labor market impacts of AI: A new measure and early evidence
Anthropic Economic Index Report: Economic Primitives
Anthropic Economic Index Report: Uneven Geographic and Enterprise AI Adoption
Estimating AI productivity gains from Claude conversations
The Anthropic Economic Index
Additional Information
For this role, we're looking for candidates who combine rigorous macroeconomic theory with computational fluency, and who are willing to model economic scenarios that fall outside the profession's usual range. The ideal candidate works at the intersection of growth theory, forecasting, and frontier AI.
Deadline to apply: None. Applications are reviewed on a rolling basis
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA | New York City, NY | Seattle, WA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is investing $50 billion in American computing infrastructure, including datacenters custom-built for our workloads, and this role sits at the heart of that effort. As a Staff Engineer on the Datacenter Server Lifecycle team, you will own the end-to-end operational journey of every machine in our datacenters – from initial provisioning and deployment, steady-state operation, maintenance, and repair.
This is greenfield work: you will help define the services, tooling, standards and processes that govern how we operate critical hardware at scale, powering frontier model development and serving. You will have the opportunity to define AI-native workflows for datacenter operations and to help drive innovations on efficiency, performance, and reliability.
A distinguishing aspect of this role is its deep intersection with security. The machines in our datacenter handle some of the most sensitive workloads in AI – training frontier models and serving millions of users interacting with Claude. Ensuring that every machine in the fleet is trusted, attested, and operating with a verified chain of integrity from the hardware up is a core part of the job, not an afterthought. You will partner closely with our Infrastructure Security team to define and enforce trusted compute standards across the lifecycle, from secure provisioning through end-of-life handling.
Key responsibilities
Build automation to support datacenter fleets at scale.
Define and own the end-to-end system lifecycle strategy – from provisioning and deployment through operation, maintenance, refresh, and decommissioning – and maintain automation and operational procedures for common lifecycle events (e.g., hardware failures, firmware upgrades, fleet rotations).
Partner closely with Infrastructure Security to design and enforce trusted compute standards across the server lifecycle.
Work closely with our Networking team to ensure end-to-end connectivity across all sites.
Build and maintain tooling to track machine health, configuration, and operational status across the full datacenter fleet.
Minimum qualifications
Hands-on experience with server hardware, including rack deployment, cabling, troubleshooting, and understanding failure modes at scale.
End-to-end understanding of hardware lifecycle management: asset tracking, provisioning workflows, maintenance scheduling, and decommissioning practices.
Proficiency in at least one programming language (e.g., Python, Rust, Go, or Java).
Working knowledge of modern cloud infrastructure, including Kubernetes and large scale cloud providers (e.g. AWS, Azure, GCP).
Ability to communicate clearly and build consensus with a wide range of stakeholders.
Comfort navigating ambiguity and making progress on complex, cross-functional problems.
Willingness to travel occasionally to datacenter sites across North America.
Preferred qualifications
8+ years of experience in datacenter infrastructure management, or a closely related discipline.
Hands-on experience with GPU or AI accelerator hardware (e.g., NVIDIA A100/H100, Google TPUs, or AWS Trainium) and an understanding of their operational demands.
Familiarity with modern provisioning and OS tooling such as LinuxBoot and NixOS
Experience building or contributing to datacenter automation or fleet management platforms.
Experience building and deploying server operating system distributions across large server fleets.
Background in large-scale capacity planning and hardware refresh strategy, ideally at a hyperscaler or large cloud provider.
Experience with trusted compute and hardware security concepts such as secure boot, TPM, hardware attestation, and firmware verification — or a strong desire to develop deep expertise in this area.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$320,000
—
$405,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Dublin, IE
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role:
Our Inference team is responsible for building and maintaining the critical systems that serve Claude to millions of users worldwide. We bring Claude to life by serving our models via the industry's largest compute-agnostic inference deployments. We are responsible for the entire stack from intelligent request routing to fleet-wide orchestration across diverse AI accelerators.
The team has a dual mandate:
maximizing compute efficiency
to serve our explosive customer growth, while
enabling breakthrough research
by giving our scientists the high-performance inference infrastructure they need to develop next-generation models. We tackle complex, distributed systems challenges across multiple accelerator families and emerging AI hardware running in multiple cloud platforms.
As a Staff Software Engineer on our Inference team
, you will work end to end, identifying and addressing key infrastructure blockers to serve Claude to millions of users while enabling breakthrough AI research. Strong candidates should have familiarity with performance optimization, distributed systems, large-scale service orchestration, and intelligent request routing. Familiarity with LLM inference optimization, batching strategies, and multi-accelerator deployments is highly encouraged but not strictly necessary.
Strong candidates may also have experience with:
High-performance, large-scale distributed systems
Implementing and deploying machine learning systems at scale
Load balancing, request routing, or traffic management systems
LLM inference optimization, batching, and caching strategies
Kubernetes and cloud infrastructure (AWS, GCP)
Python or Rust
You may be a good fit if you:
Have significant software engineering experience, particularly with distributed systems
Are results-oriented, with a bias towards flexibility and impact
Pick up slack, even if it goes outside your job description
Want to learn more about machine learning systems and infrastructure
Thrive in environments where technical excellence directly drives both business results and research breakthroughs
Care about the societal impacts of your work
Representative projects across the org:
Designing intelligent routing algorithms that optimize request distribution across thousands of accelerators
Autoscaling our compute fleet to dynamically match supply with demand across production, research, and experimental workloads
Building production-grade deployment pipelines for releasing new models to millions of users
Integrating new AI accelerator platforms to maintain our hardware-agnostic competitive advantage
Contributing to new inference features (e.g., structured sampling, prompt caching)
Supporting inference for new model architectures
Analyzing observability data to tune performance based on real-world production workloads
Managing multi-region deployments and geographic routing for global customers
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
€295.000
—
€355.000 EUR
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: Tallinn, Estonia
Are you looking for the next professional opportunity, that will challenge you and advance your career?
Join our team now!
Tickmill is looking to hire a
AI Automation Engineer
to join our rapidly expanding team.
Join a high-caliber team and contribute to its success with your passion, hard work and positive attitude.
About Tickmill.
Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures & Options).
Founded in 2014, the Tickmill Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia, Seychelles and several other locations worldwide.
Our culture is built on trust, transparency, and high standards. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
About the Role
We’re looking for an experienced
AI Automation Engineer
to design, implement, and optimize AI-driven workflows across the organization. You’ll act as an internal consultant — understanding business challenges, proposing intelligent automation solutions, and deploying AI agents that improve efficiency, accuracy, and scalability.
This role blends technical expertise in AI and automation with strategic thinking and business understanding. It requires a high degree of autonomy and initiative. You will be expected to work independently, proactively identify opportunities, and drive solutions end‑to‑end with minimal supervision while collaborating with stakeholders as needed.
What does the role look like?
Partner with business departments to identify process inefficiencies and automation opportunities.
Design and prototype AI agentic workflows using modern frameworks and LLM-based tools.
Develop, integrate, and deploy AI agents capable of handling varied business tasks (e.g., reporting, customer communication, data processing, or internal operations).
Evaluate and benchmark AI models, frameworks, and tools to select optimal solutions.
Establish best practices for prompt engineering, context management, and workflow orchestration.
Work closely with engineering teams to ensure robust system integration, data privacy, and compliance.
Create technical documentation, user training, and playbooks for deployed AI automations.
Monitor system performance and continuously refine agent behaviors and models.
What do you need to succeed in this role?
Proven experience in building or integrating AI systems, intelligent agents, or automation frameworks.
Experience with Forex / FinTech or other similar companies supporting Sales, Marketing and Finance teams with AI.
Strong understanding of LLMs, vector databases, and agent architecture (e.g., LangChain, AutoGen, CrewAI, or custom agentic frameworks).
Programming skills in Python and familiarity with REST APIs, webhooks, and automation tools.
Ability to translate business needs into technical solutions and communicate them clearly.
Familiarity with cloud environments (AWS, Azure) and enterprise integrations in general.
Experience with RAG (Retrieval-Augmented Generation), chains, and memory management in AI systems.
Excellent problem-solving, analytical, and stakeholder communication skills.
Will be considered as a plus:
Background in machine learning, NLP, or process automation.
Experience with tools such as CLAW to support Data teams
Experience deploying production-level agentic systems or AI copilots.
Exposure to enterprise workflow automation tools (Jira, HubSpot, etc).
Understanding of data governance, model evaluation, and prompt engineering patterns.
By joining us, you can expect:
A Unique Opportunity for a career in a global, fast-growing company.
Attractive
remuneration package
based on qualifications and experience.
Opportunities to learn and grow through our “
Employee Training & Development program”.
Stebby Sports Compensation or Confido Health Compensation.
Multiple
events
to bond with the team and the group.
Birthday and Loyalty
benefits
.
Make your next Career step and apply NOW!
*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
Location: Limassol, Cyprus
Are you looking for the next professional
opportunity,
that will challenge you and advance your career?
Join our team now!
Tickmill
is looking to hire a
AI Automation Engineer
to join our rapidly expanding team.
Join a high-caliber team and contribute to its success with your passion,
hard
work
and
positive attitude.
We’re looking for an experienced
AI Automation Engineer
to design, implement, and optimize AI-driven workflows across the organization. You’ll act as an internal consultant — understanding business challenges, proposing intelligent automation solutions, and deploying AI agents that improve efficiency, accuracy, and scalability.
This role blends technical expertise in AI and automation with strategic thinking and business understanding.
About
Tic
kmill
.
Tickmill
is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, and Bonds, as well as Exchange Traded Derivatives like Futures &
Options).
Founded in 2014, the
Tickmill
Group employs over 330 professionals across offices in London, Cyprus, Poland, Estonia,
Seychelles
and several other locations worldwide.
Our culture is built on trust, transparency, and
high standards
. We bring together ambitious professionals who are looking for an environment that supports them to dominate in their fields.
Our diverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.
We offer competitive benefits packages, frequent team initiatives, and opportunities for professional growth.
Join the Tigers!
What does the role look like?
The
AI Automation Engineer
will have the chance to:
Partner with business departments to
identify
process inefficiencies and automation opportunities.
Design and prototype AI agentic workflows using modern frameworks and LLM-based tools.
Develop, integrate, and deploy AI agents capable of handling varied business tasks (e.g., reporting, customer communication, data processing, or internal operations).
Evaluate and benchmark AI models, frameworks, and tools to select
optimal
solutions.
Establish best practices for prompt engineering, context management, and workflow orchestration.
Work closely with engineering teams to ensure robust system integration, data privacy, and compliance.
Create technical documentation, user training, and playbooks for deployed AI
automation
s
.
Monitor system performance and continuously refine agent behaviors and models.
What do you need to succeed in this role?
Proven experience in building or integrating AI systems, intelligent agents, or automation frameworks.
Experience
with Forex /
FinTech
or other similar companies supporting Sales, Marketing and Finance teams
wi
th AI
.
Strong understanding of LLMs, vector databases, and agent architecture (e.g.,
LangChain
,
AutoGen
,
CrewAI
, or custom agentic frameworks).
Programming skills in Python and familiarity with REST APIs, webhooks, and automation tools.
Ability to translate business needs into technical solutions and communicate them clearly.
Familiarity with cloud environments (AWS, Azure) and enterprise integration
s in general
.
Experience with RAG (Retrieval-Augmented Generation), chains, and memory management in AI systems.
Excellent problem-solving, analytical, and stakeholder communication skills.
Will be considered as a plus:
Background in machine
learning
, NLP, or process automation.
Experience with tools such as CLAW to support Data teams
Experience deploying production-level agentic systems or AI copilots.
Exposure to
enterprise workflow automation tools (Jira, HubSpot,
etc
).
Understanding of
data governance, model evaluation, and prompt engineering patterns.
By joining us, you can expect:
Unique Opportunity for a career in a global, fast-growing company.
Attractive remuneration package based on qualifications and experience (including 13th salary and Discretionary Bonuses to reward exceptional performance).
Opportunities to learn and grow through our “Employee Training & Development program”.
Medical Insurance Cover, which includes Outpatient, Inpatient, and Dental Care.
Multiple events to bond with the team and the group through Quarterly/Semestrial Team Activities for all the Company.
Participation in our welfare investment and savings plan through our Provident Fund Scheme.
Birthday and Loyalty benefits.
Collaboration with SportBenefit.
Make your next Career step and apply NOW!
*
Due to the
great number
of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.
О ПРОЕКТЕ
DigiNavi — это иммерсивная AR-навигация для крупных общественных пространств (ТЦ, аэропорты). Мы превращаем локации в SMART-зоны с помощью Computer Vision и дополненной реальности. Наша команда внедряет подход VibeCoding: вы выступаете архитектором решений, используя AI-агентов (Claude Code, Cursor) как основной инструмент исполнения.
ЧЕМ ПРЕДСТОИТ ЗАНИМАТЬСЯ
— AI-Driven Development: Разработка и поддержка кода через AI-инструментарий.
— R&D & Prototyping: Быстрая проверка гипотез и внедрение алгоритмов (SuperPoint, NetVLAD, Gaussian Splatting).
— Architecture: Рефакторинг CV-компонентов в гетерогенной среде (Go / C++ / Python).
— Integration: Внедрение ML-моделей в микросервисную архитектуру через gRPC и Kafka.
— Optimization: Работа с high-load системами и оптимизация инференса моделей.
ЧТО МЫ ЖДЕМ ОТ ВАС
— CV & ML Expert: Глубокие знания PyTorch и OpenCV. Опыт создания Computer Vision решений.
— VibeCoding Skills: Практический опыт работы с Claude Code, Cursor или аналогами. Понимание SDD и TDD подходов.
— Backend: Опыт production-развертывания (FastAPI, Docker) и понимание микросервисов.
— Polyglot Mindset: Готовность работать в окружении, где используются Go и C++ (чтение и интеграция).
— Документация: Умение создавать техническую документацию и структурировать процессы там, где их нет.
БУДЕТ ПЛЮСОМ
— Опыт оптимизации инференса для мобильных платформ.
— Работа с облачной инфраструктурой GCP.
— Понимание специфики разработки в сфере AR/VR.
Location: Remote, Canada
Workplace: remote
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.
At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.
Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.
**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
The Role
We're looking for an applied AI researcher who has worked hands-on with healthcare data and is building modern LLM, RAG, and agentic AI systems.
Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.
You are a talented Senior Applied Researcher, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.
Responsibilities
- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.
- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.
- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications
- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.
- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.
- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.
- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.
Required Experience
- Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI
- Proven industry experience through multiple major product releases in a commercial SaaS environment.
- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).
- Proficiency in Python. Proficiency in Java or other languages helpful.
- Proficiency with SQL and data engineering for AI/ML applications.
- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)
- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.
- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.
- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.
- Strong communication and collaboration skills; comfortable working on a distributed team.
- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).
#LI-AV1
#LI-remote
PointClickCare Benefits & Perks:
Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!
It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.
When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it. If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com
PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.
At PointClickCare, base salary is one of the many components that make up our total rewards package. The CAD base salary range for this position is $159,000-176000 (not overtime eligible) + bonus + benefits. Compensation is assessed individually and aligned to experience, skills, and market context. The posted range reflects typical expectations for this role.
УдалённоTbilisi; Belgrade; Budapest; Madrid; Riga; Tallinn; Valencia; Vilnius; Yerevan; From diverse backgrounds, our team collaborates across time zones, fueled by a shared passion to revolutionize the home design market
Не хотите искать каждый день?
Настройте подбор один раз, и подходящие вакансии будут сами приходить в Telegram.
Настройте подбор, и подходящие вакансии будут приходить в Telegram.
