Вакансии

Развитие продукта и решение задач по расширению бизнес функционала; Поддержка текущего решения;

Location: San Francisco Workplace: Remote Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent. This role is with one of our clients; we’ll share full details about the company and interview process as we get to know you and confirm mutual fit. ABOUT THE COMPANY Our client is a Series B enterprise AI startup that raised $108M from a16z, Benchmark, First Round, BoxGroup, and YC, building infrastructure that turns complex documents into structured, AI-ready data. Its API-based platform processes PDFs, images, spreadsheets, and other unstructured files, helping organizations build production AI applications and automate document-intensive workflows. Our client supports AI-native startups and large enterprises with demanding accuracy and deployment requirements. The team is founder-led and engineering-first, with engineers working directly with customers and using what they learn to improve the product. THE MISSION Make complex document data reliable enough to build on. Our client helps organizations unlock information inside unstructured files while preserving the detail and structure that downstream applications depend on. The goal is to deliver accurate, usable data that holds up in production, not simply extract text that looks convincing in a demo. THE OPPORTUNITY Own the technical work that turns an enterprise evaluation into a successful production deployment. As a Forward Deployed Engineer, you’ll build applications, run evaluations, troubleshoot integrations, and stay close to customer results. You’ll partner with sales during technical evaluations, then own technical success for 1-3 enterprise accounts, helping customers resolve issues, deepen adoption, and expand into additional use cases. This is a founding role within our client’s developing FDE function. You’ll work directly with founders, product, and engineering to shape the platform and establish how future deployments are delivered. The role combines substantial engineering work with customer relationships and deployment responsibility. Both backend-leaning engineers and customer-facing FDEs are welcome, but independent coding and production deployment ownership are essential. This position requires full-time, in-person work in San Francisco, five days per week. WHAT YOU'LL DO - Turn customer requirements into working applications and integrations - Partner with AEs and SEs on evaluations, custom demos, and competitive benchmarking - Build custom applications, agents, evaluation tools, and product enhancements - Own technical success for 1-3 enterprise accounts, meeting weekly or biweekly - Resolve deployment and integration issues to deepen adoption - Build diagnostics, dashboards, and evaluation harnesses to measure performance and catch regressions - Explain technical decisions and trade-offs to customer stakeholders - Identify new use cases and expand deployments across teams - Translate customer insights into product improvements and engineering priorities WHAT YOU BRING - 3+ years of full-time production engineering experience shipping software for enterprise customers - Experience at a recognizable, high-growth startup with strong engineering standards - Independent ownership of building, deploying, and supporting production applications or AI pipelines - Strong production-level Python and engineering fundamentals - Solid understanding of AI, LLMs, and machine learning concepts - Use of Claude, Codex, or similar coding tools beyond autocomplete, guided by sound technical judgment - Enterprise deployment experience spanning integrations, troubleshooting, and customer-specific constraints - Clear communication and confidence leading technical customer conversations - A quantitative approach to debugging, experimentation, and performance measurement - Willingness to work on-site in San Francisco five days per week KEY SUCCESS DRIVERS - Ownership: You identify what needs doing and follow through until the issue is resolved and the deployment works - Technical judgment: You build solutions that fit the problem and validate them with evidence - Customer judgment: You understand the customer’s technical context and connect engineering work to useful outcomes - Quality: You move quickly without overlooking the details that determine production reliability - Communication: You explain trade-offs clearly and keep technical and business stakeholders aligned - Resourcefulness: You build the tools, diagnostics, or prototypes needed to unblock progress - Adaptability: You move comfortably between coding, evaluations, troubleshooting, and customer conversations WHY JOIN? - Compensation: 220,000-320,000 annual salary, plus competitive equity - Scope: Help build the FDE function while owning evaluations, implementation, and ongoing technical outcomes - Production impact: Solve document-processing and deployment challenges that directly affect enterprise AI applications - Product influence: Work directly with founders and engineering to turn customer needs into platform improvements - Team: Join a founder-led, engineering-first environment with close collaboration across product, sales, and customer success - Benefits: Medical, dental, and vision insurance; unlimited PTO; flexible parental leave; and up to $150/month in eligible health and wellness reimbursement - Office support: Free daily lunch and reimbursed transportation - Visa support: Open to visa transfers (e.g. OPT, H1B transfers) and sponsorship INTERVIEWING PROCESS 1. HR screening 2. Hiring manager screen and technical interview - 30 minutes: Live Python coding to assess engineering fundamentals and problem-solving. 3. On-site practical assessment: Build an application relevant to the role, with a focus on engineering depth or technical presentation and customer communication. 4. Offer extended. We are proud to be an equal opportunity workplace and consider all qualified applicants without regard to race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran or military status, gender identity or expression, sexual orientation, or any other characteristic protected by law.

Location: CAN: Vancouver (333 Seymour St) Workplace: Hybrid The role / impact You will deliver high-quality, impactful software that aligns with team and business goals, always keeping customer needs and outcomes front of mind. By identifying and solving complex, ambiguous problems independently, you will produce robust, high-quality, and scalable software that helps change the world by supporting small businesses. Your daily work will focus on systems, scalability, and engineering quality while collaborating across teams to drive technical excellence and developer efficiency. Through clear and thoughtful communication, you will ensure stakeholders are well-informed and aligned. You will play a key part in fostering an inclusive team culture by mentoring others and sharing feedback with empathy. Your active participation in planning, delivery, and continuous improvement will contribute directly to the success of the broader Xero community. The team / how they connect You will join the Payments team within Product Platforms, which forms the critical foundation underneath core product areas like invoices, bills, payments, and payroll. The team exists to make it easy for other groups across Xero to build on a strong foundation of accounting concepts, data, and libraries safely and efficiently. Operating across Wellington and Vancouver, we collaborate closely to reduce tight coupling, establish clear service boundaries, and accelerate product velocity global-wide. The team is currently working on / Initially, you will focus on - Transitioning from a monolithic architecture to modern microservices to remove delivery bottlenecks and improve efficiency. - Building and operating services in a production cloud environment utilizing C#, .NET Core, and AWS. - Resolving complex legacy problems, database scalability challenges, and modernizing service interfaces or APIs. - Automating manual processes and applying test-driven and trunk-based development practices. Where and how you can work This role is based at our on-site location in Vancouver. We operate on a hybrid model where you will spend one to two days a week in the office for collaborative technical discussions and team alignment, with the flexibility to work from home on the other days. You will also have the opportunity to travel to New Zealand for onboarding after your first couple of weeks. Here are some of the things we are looking for - You bring proficient backend development experience with one or more programming languages such as C#, .NET, Java, or Go. - A solid understanding of distributed systems concepts, including service-to-service communication, eventual consistency, and resilience patterns belongs in your toolkit. - Your background features practical experience working with relational databases where transactional data integrity and ACID principles are critical. - Having a familiar working knowledge of modern DevOps practices, automated testing, and continuous integration pipelines will help you succeed. - Showing an interest in utilizing modern artificial intelligence tools will enable you to enhance personal productivity and streamline engineering workflows. - You possess strong communication and collaboration skills, with the capacity to manage internal stakeholders like a technical product partner. Apply even if your experience isn't a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team. Compensation & Total Rewards At Xero, we value the impact and skills you bring to the team. We believe in a Total Package philosophy - ensuring your value is recognized through a holistic lens that includes base salary, performance incentives, and world-class benefits. The expected base salary range for this role is 131,800 - 150,000 CAD. Individual pay is determined by various factors, including geography, level of experience, and the specific skills you bring to the role. In addition to base pay, Xero’s roles are eligible for the following forms of variable compensation: - Variable Pay: Permanent employees are eligible to participate in our annual bonus and equity (RSU) programs. You may also be eligible for performance-based cash or equity (RSUs) incentives depending on your role level, and company performance. - Comprehensive Benefits: World-class health, wellness, and retirement programs. Xero Perks https://careers.xero.com/inside-xero/benefits-wellbeing/ including Wellbeing days, generous leave, and dedicated professional development budgets. This is a posting for an existing vacancy. Xero uses AI to help screen applications based on job-related qualifications. These tools assist our recruiters but do not make automated hiring decisions. A human recruiter reviews all candidates before any hiring action is taken.

⚠️ Important: You must be based in Switzerland, in Zug or able to come to the Zug office. Applications from candidates not in Zug, Switzerland cannot be considered.

Location: Remote A Software Developer (Market Setup) takes a trading venue from a signed agreement to the first live trade on our platform, then makes the next venue happen sooner. What You Own: one venue, stage by stage: Scoping. Read the venue's specifications; list what the platform has and what is missing; estimate the setup.Scoping. Connectivity. Design it with infra: colocation or proxy, lines, addresses, multicast groups, firewall rules, failover. Protocol adaptation. Adapt our market data and order entry connectors to the venue's binary protocol: SBE, FAST, ITCH and OUCH, Eurex ETI and EOBI, LSE native, or the custom binary protocol a venue publishes for itself; sessions, recovery, throttles, reject handling. Product and risk parameters feed. Pull the venue's raw product definitions and risk parameters, margin rates, price limits, lot and tick tables, position limits, in whatever form they are published, and deliver them complete to the team that normalizes them; you are their source on what the venue's fields mean. Historical data. Convert the venue's archives and captured feeds into our format at volume; validate against live captures. Latency tuning. Measure the path with hardware timestamps against the venue's figures and the strategies' budget; tune host placement, NIC and kernel bypass settings, pinning, the connector's hot path, gateway choice; record the baseline for ops. Certification. Pass the venue's conformance tests and ours: replay, soak, order-flow scenarios, failover. Operations preparation. Write the operating instructions for the desk and ops: sessions and timings, limits, start and stop, failure modes and what to do in each, who to call at the venue. Walk the desk through the first day before it happens. Go-live. First live trade, hypercare, handover. What This Role Is Not: Not the core engine: the engine developers in the same team own it; you adapt and assemble. Not configuration: a venue needs code, in C++ and Python; an LLM writes much of it, you specify, review and test all of it. Not normalization: another team maps the venue's products and risk parameters onto our model; you deliver the raw feed they map from. Not 24/7 operations: the desk and ops run the venue after handover; you write what they run. Not strategy work: researchers decide what and how to trade; you make the venue tradable. What We Look For In You: Solid understanding of data structures, algorithms, and object-oriented programming in C++ Understanding of Linux system internals Decent level of written and spoken English to work in an international environment Performs well in a remote/hybrid team with variable, project-based responsibilities Nice-to-have: In-depth knowledge and expertise with low latency/real-time development with sub-microsecond latency. LockFree containers and thinking pattern C programming knowledge (written drivers for Linux system, worked with the core etc.) Why Should You Join Our Team? Full focus on results with no bureaucracy Great challenges with fast feedback loops A welcoming group of highly qualified international professionals Cutting-edge hardware and technology Work remotely from anywhere in the world Access any of our global offices anytime Flexible schedule 40 paid days off Competitive salary

Задачи: — разработка, тиражирование и сопровождение программного обеспечения; — участие в проектировании архитектуры приложений; — проведение код‑ревью и рефакторинга; — контроль сроков и качества разработки; — декомпозиция требований заказчика до технических задач; — поддержка готовых решений на уровне 4‑й линии поддержки. Требования: — опыт разработки на Java от 5 лет (Java 17+); — понимание HTTP и сетевого взаимодействия; — владение принципами SOLID, паттернами ООП, подходами Low Coupling / High Cohesion, DI/IoC; — знание микросервисной архитектуры и способов межсервисного взаимодействия (REST, шины событий); — опыт работы с RabbitMQ и Kafka, распределёнными транзакциями, OAuth 2.0; — понимание DDD и чистой архитектуры; — навыки работы с Git, знание методологий Scrum/Waterfall/Kanban; — опыт наставничества от 2 лет (не менее 3 сотрудников), работа в команде от 3 лет; — английский не ниже Intermediate. Условия: — гибридный/удалённый формат по договорённости; — полная занятость.

💎 Torrero ищет Python‑разработчика для работы над бэкендом платёжной функциональности: предстоит принимать архитектурные решения, реализовывать дизайн и разрабатывать бэкенд, писать тесты, следить за стабильной работой продакшена, контролировать и оптимизировать производительность, нести ответственность за выполненные задачи;

Location: Intellias Meet your recruiter Karolina Sowa karolina.sowa@intellias.com https://www.linkedin.com... Vacancy details Software Engineering Python Engineer Strong Middle Bulgaria, Croatia, Egypt, India, Poland, Portugal, Spain, Ukraine Remote APPLY NOW REFER A FRIEND We are looking for a Python Engineer to build and maintain stateful AI agent workflows using LangGraph. The role focuses on workflow orchestration, checkpointing, human-in-the-loop interactions, resilience patterns, and observability across agent execution paths. The ideal candidate has strong Python expertise, hands-on experience with LangGraph or LangChain, and a solid understanding of asynchronous and distributed workflow design. What project we have for you Our customer is a multinational corporation with more than a century of history and offices in over 180 countries. Their most ambitious goal at the time is to introduce a range of Reduced-Risk Products (RRPs). The target audience is more than 1 billion consumers around the globe. IT platform hosts 700+ applications. Intellia’s mission is to help the client with the engineering of a comprehensive software ecosystem for a game-changing IoT product on the margin of innovative consumer experience and cutting-edge technology. Our teams are involved in the engineering of core platform components for best-in-class eCommerce, Digital Marketing and IoT solutions. As an Engineer, you will become a part of Core Architecture Team and be responsible for the architecture, implementation of best practices in our Digital Engineering Enterprise Platform. The Platform is a set of services and internet applications that accelerate the development and delivery of software applications by taking care of common SDLC challenges. The Platform provides access and consumption for engineering teams to a set of services, technologies, practices for their development and for operating their application, ensuring a set of compliance and best practices. What you will do Design and implement AI agent workflows using LangGraph and Python. Build and maintain graph-based orchestration logic using nodes, edges, and state transitions. Implement workflow checkpointing and recovery mechanisms using SQLite, Redis, or PostgreSQL backends. Develop Human-in-the-Loop (HITL) workflows for approval, escalation, and intervention scenarios. Design resilient execution patterns including retries, timeouts, fallback handling, and failure recovery. Develop asynchronous workflow execution using Python asyncio. Implement OpenTelemetry tracing across orchestration layers and workflow steps. Troubleshoot workflow execution issues and optimize performance, reliability, and observability. Collaborate with platform and AI engineering teams to build scalable agent-driven solutions. Create automated tests for workflow reliability, state transitions, and recovery scenarios. Contribute to engineering standards and best practices around agent orchestration and workflow management. What you need for this • Python (LangGraph nodes, edges, graphs) • Checkpointing with LangGraph (SQLite, Redis, Postgres checkpointers) • HITL workflow implementation • Retry, timeout, fallback patterns in LangGraph • OpenTelemetry tracing across orchestration steps Experience: • 4+ years Python development • LangGraph or LangChain agent orchestration • Async Python (asyncio) Will be a plus: • AWS Bedrock integration • Multi-agent workflow testing • LangSmith trace visualization What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.

-Планирование, разработка и сопровождение прикладной функциональности ПО «ITSM» на базе Frappe Framework.

Чем предстоит заниматься Развивать и поддерживать сервис генерации игровых клипов. Работать с автоматизацией игры и пайплайном создания видео.

— Проектировать и разрабатывать backend-сервисы на Java. — Реализовывать транзакционную и финансовую логику.

- Разработка программных модулей решения; - Проектирование части системы в рамках свое зоны ответственности;

• 5+ years of Java backend development experience. • Strong Spring Boot, REST APIs, microservices and SQL skills.

-Уверенные знания синтаксиса языка Go.

Разработка курса (до февраля, удалённо): доработка программы курса и детализация тем по неделям;

Задачи Анализировать входящие запросы на новые фичи, валидировать их и переводить в конкретные технические требования с учётом продуктовых и бизнес-целей. Взаимодействовать с другими командами разработки, чтобы обеспечить интеграцию решений и стабильную доставку функционала.

Придумать работающее решение, создать его и добиться бизнес-результата.

Bleap is looking for a Software Engineer Java to build payment integrations and APIs for mobile and web applications.