AI Builder Fellowship

🏢 Summary: One-year hybrid AI builder fellowship focused on shipping production-grade agentic workflows, ML quoting models, and vision-based quality tools for manufacturing clients. The role targets early-career engineers and builders with hands-on AI project experience who can work quickly using AI-assisted development tools. Compensation includes full benefits from day one with potential conversion to a permanent role. 🗂️ Requirements: 1–3+ years of experience, Built and deployed AI applications end-to-end, Ability to demo real AI projects, Experience with AI-assisted coding tools, Working knowledge of Python or modern scripting environments, U.S. work authorization without sponsorship 📃 Skills: Python, AI, GitHub, ML, VisionAI, Scripting 🏢 Description: Location: Hybrid (3 days/week onsite in Waltham, MA or North Bethesda, MD) Duration: 1 Year, Full-Time (with potential conversion to permanent FTE) Compensation: Competitive salary + full benefits from the beginning Application Window: July 9 - July 26 The Premise Custom manufacturing is a $275B industry that still runs on phone calls, spreadsheets, and faxed drawings. Xometry is the marketplace turning quotes, supplier matching, and production into an AI-first software product. The Machine Shop is a founding cohort of 5–8 elite builders. The role is deeply embedded in product and engineering pods shipping agentic workflows, ML quoting models, and vision-based quality tools to real aerospace, defense, and medical clients who measure success in microns. Who We Are Looking For (Craft over Credentials) - Public builders with side projects and real shipped work - Self-taught candidates using AI tools effectively - Early-career engineers seeking rapid production deployment experience What We Expect - Built and deployed something real with AI that can be demonstrated end-to-end - Comfortable using AI-assisted coding tools to iterate at high velocity - Working knowledge of Python and/or modern scripting environments - U.S. work authorization without current or future sponsorship How to Apply 1. Submit Your Build: July 9 - July 26 Submit a 5-minute Loom video explaining a project, a GitHub repository link, and a short summary of lessons learned. 2. Review & Selection: July 27 - August 5 Submissions are reviewed directly by builders and AI leadership. Approximately 25 finalists advance. 3. Onsite Build Day: August 13 Attend a live onsite session in Waltham, MA or North Bethesda, MD. Candidates present their projects and complete a live build exercise using the company AI stack. 4. Offer the Next Day: August 14 Selected candidates receive offers within 24 hours. 5. Cohort Starts: September 8 Successful candidates onboard and begin shipping production code within three weeks. Compensation and Benefits The estimated base salary range is $105,000-$125,000 annually depending on experience, skills, and location. Benefits include: - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Paid time off, vacation, sick leave, floating and fixed holidays - Maternity and bonding leave - Employee assistance and wellbeing resources Equal opportunity employment and E-Verify participation apply for U.S.-based roles.

🏢 Summary: One-year hybrid AI builder fellowship focused on shipping production-grade agentic workflows, ML quoting models, and vision-based quality tools in the custom manufacturing space. The role targets early-career engineers with hands-on AI project experience who can rapidly build and deploy solutions using modern coding and AI-assisted development tools. Includes competitive salary, full benefits from day one, and potential conversion to a permanent full-time role. 🗂️ Requirements: 1–3+ years of hands-on development experience, Built and deployed a real AI project end-to-end, Ability to demonstrate live projects or GitHub work, Experience with AI-assisted coding tools, Working knowledge of Python or modern scripting environments, U.S. work authorization without current or future sponsorship, Ability to work onsite 3 days per week in Waltham, MA or North Bethesda, MD 📃 Skills: Python, AI, MachineLearning, VisionAI, GitHub, Scripting 🏢 Description: Location: Hybrid (3 days/week onsite in Waltham, MA or North Bethesda, MD) Duration: 1 Year, Full-Time (with potential conversion to permanent FTE) Compensation: Competitive salary + full benefits from the beginning Application Window: July 9 - July 26 The Premise Custom manufacturing is a $275B industry that still runs on phone calls, spreadsheets, and faxed drawings. Xometry is turning quotes, supplier matching, and production into an AI-first software product. The Machine Shop is a cohort of 5–8 builders deeply embedded in product and engineering teams shipping agentic workflows, ML quoting models, and vision-based quality tools to aerospace, defense, and medical clients. Who We Are Looking For - Public builders with real-world side projects and shipped products - Self-taught or non-traditional candidates with demonstrable work - Early-career engineers looking to ship production code frequently What We Expect - Built and deployed something real with AI that can be demonstrated end-to-end - Comfortable using AI-assisted coding tools for rapid iteration - Working knowledge of Python and/or modern scripting environments - U.S. work authorization without current or future sponsorship How to Apply 1. Submit Your Build: July 9 - July 26 Provide a 5-minute Loom video explaining a project, a GitHub repository link, and a short explanation of lessons learned. 2. Review & Selection: July 27 - August 5 Submissions are reviewed by engineering and AI leadership. Approximately 25 finalists advance. 3. Onsite Build Day: August 13 Attend an onsite event in Waltham, MA or North Bethesda, MD. Present a project and participate in a live build exercise using the company AI stack. 4. Offer the Next Day: August 14 Selected candidates receive an offer within 24 hours. 5. Cohort Starts: September 8 Onboarding begins with immediate contribution to production code. The estimated base salary range for new hires into this role is $105,000-125,000 annually depending on factors such as job-related skills, relevant experience, and location. Benefits include: - 401(k) match - Medical, dental, and vision insurance - Life and disability insurance - Paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave - Employee assistance and wellbeing resources Equal opportunity employer. Employment eligibility verification required for U.S.-based roles.

🏢 Summary: Paid summer internship (July–September 2026) in production AI development, with possibility of extended cooperation. The role involves working on real client projects and the internal AI platform, contributing production-ready code across the full stack from the first week. Interns gain hands-on experience with modern web technologies, cloud infrastructure, and LLM-based agent systems. 🗂️ Requirements: Status studenta kierunku technicznego, Podstawy programowania w TypeScript lub Python, Własny ukończony projekt z działającym kodem, Umiejętność samodzielnego rozwiązywania problemów i pracy z dokumentacją, Realne używanie narzędzi AI w pracy programistycznej, Komunikatywny angielski B2+ 📃 Skills: TypeScript, Python, React, Node.js, PostgreSQL, AWS, LLM, RAG, MCP, Docker, Git, OpenAI, Anthropic, Claude, Cursor, Copilot 🏢 Description: Szczegóły: Branża: Architektura, Programowanie, Testowanie Stanowisko: Asystent, Praktykant / Stażysta Rodzaj umowy: Umowa zlecenie, Umowa o dzieło Wymiar pracy: Pełny etat, Część etatu, Dodatkowa / Sezonowa Charakter pracy: Stacjonarna, Hybrydowa Dodatkowe informacje: Status studenta / Praca dla młodzieży / Wymagane doświadczenie: Tak Szukamy stażysty/stażystki na płatny staż wakacyjny lipiec–wrzesień 2026 , z opcją przedłużenia współpracy po sezonie, jeśli z obu stron będzie chemia. Najchętniej widzimy studenta Politechniki Gdańskiej , ale nie zamykamy się na inne uczelnie — liczy się to, co potrafisz pokazać, nie indeks. Będziesz pracować nad realnymi projektami klientów AgentX i nad samą platformą. Nie chowamy stażystów do kąta na pisanie skryptów do migracji — od pierwszego tygodnia dostajesz konkretne zadanie, opiekuna i odpowiedzialność za swoje fragmenty kodu, który trafia na produkcję. Dotkniesz całego stacka: TypeScript, React, Node.js, Python, PostgreSQL, AWS , plus warstwa agentowa (LLM-y, RAG, MCP, tool calling, evale). Zobaczysz z bliska, jak wygląda "produkcyjnie" — testy, deployment, observability, prawdziwi userzy zgłaszający bugi. Nie wymagamy komercyjnego doświadczenia. Wymagamy, żebyś coś realnie kiedyś zbudował/a sam/a od początku do końca i potrafił/a o tym pogadać. Jak aplikować CV (krótkie, konkretne) Kilka zdań o swoim ulubionym własnym projekcie — co to było, co Cię w tym wciągnęło, co byś dziś zrobił/a inaczej Linki do kodu / dema / GitHuba / cokolwiek, co pokaże jak myślisz Wymagania: Otwarta głowa i chęć uczenia się. Produkcyjny development AI to coś więcej niż tutoriale — i ta różnica nas interesuje. Realne, świadome używanie narzędzi AI. Claude Code, Cursor, Copilot, agenci CLI — używasz ich, bo przyspieszają robotę, a nie dlatego, że są modne. Potrafisz powiedzieć, kiedy pomagają, a kiedy przeszkadzają. Własne projekty. MVP, hackathon, projekt zaliczeniowy, weekendowa zabawa, mały SaaS — cokolwiek, co samodzielnie doprowadziłeś/aś do działającej rzeczy. Najlepiej z linkiem do kodu albo dema. Samodzielność w rozwiązywaniu problemów. Czytasz dokumentację, próbujesz, debugujesz — i dopiero wtedy pytasz, konkretnie. Podstawy programowania w TypeScript lub Python (jednym z dwóch — drugiego się dobierzesz). Komunikatywny angielski (B2+) — dokumentacja, code review, czasem rozmowa z klientem. Status studenta (najchętniej PG, kierunki techniczne — Informatyka, ETI, AI&Robotyka, podobne). Mile widziane (ale nie wymagane): Doświadczenie z React / Node.js Pierwsze próby z LLM API (OpenAI, Anthropic, lokalne modele) Znajomość Dockera, Gita ponad podstawy Praca z PostgreSQL Oferujemy: Płatny staż wakacyjny lipiec–wrzesień 2026, stawka rynkowa do uzgodnienia po rozmowie technicznej. Realny kod produkcyjny od pierwszego tygodnia — nie "zadania szufladowe". Bezpośrednią pracę z seniorami robiącymi produkcyjne AI, nie z prezentacją PDF o "metodyce". Mentoring i code review — uczysz się tego, jak się to robi naprawdę, a nie jak wygląda na konferencji. Hybrydowy model pracy — biuro w Gdańsku, część dni zdalnie. Sami się dogadamy, co działa. Elastyczne godziny — jeśli masz sesję poprawkową albo inne zobowiązania, ułożymy harmonogram. Wolne weekendy. Bez wyjątków, bez "tylko ten jeden raz". Realna ścieżka po stażu — jeśli z obu stron jest chemia, przedłużamy współpracę (B2B, część etatu obok studiów — co Ci pasuje). Nie obiecujemy etatu w ciemno, ale traktujemy staż jako początek rozmowy, nie jako koniec. Sprzęt i licencje — w tym dostęp do płatnych narzędzi AI (Claude, Cursor, GitHub Copilot itp.). Czytanie każdego CV — odpowiadamy na każdą aplikację, niezależnie od decyzji. Benefity: zniżki na firmowe produkty i usługi kawa / herbata elastyczny czas pracy brak dress code'u spotkania integracyjne Aplikuj Informacje o firmie AgentX ( agentx.so ) to startup z Doliny Krzemowej, ale założyli go ludzie z Politechniki Gdańskiej. Po latach pracy w San Francisco zdecydowaliśmy, że chcemy budować dalej także stąd, skąd przyszliśmy — dlatego dziś mamy dwa biura: w SF i w Gdańsku. Na staż zapraszamy (na razie) do tego gdańskiego. Budujemy platformę do tworzenia i uruchamiania produkcyjnych agentów AI. Działamy w modelu "platforma + usługi" — z jednej strony rozwijamy infrastrukturę, na której powstają agenci, z drugiej sami dostarczamy klientom gotowe rozwiązania: od pierwszej rozmowy do działającego systemu na produkcji. AI traktujemy jako narzędzie, nie jako cel. Nie sprzedajemy "magii LLM-ów" — sprzedajemy software, który rozwiązuje konkretne problemy biznesowe, akurat z agentami w środku. Mały zespół, krótkie pętle decyzyjne, dwa kontynenty na Slacku. Realne projekty od pierwszego dnia — bez "zadań szufladowych", bez staży na ksero. Twój kod ląduje u prawdziwych userów.

🏢 Summary: Technical Quality Engineering role focused on building and scaling AI-powered test automation and quality self-service systems across engineering teams. The position centers on developing AI-driven E2E testing tools, automated failure analysis, and scalable release quality standards to enable engineers to own quality independently. It combines hands-on test automation, AI tooling development, and cross-team technical enablement in a rapidly evolving environment. 🗂️ Requirements: Experience building AI-powered tools or automations in production environments, Experience designing and implementing automated test strategies across unit, integration, and E2E levels, Hands-on experience with end-to-end test automation using Python and Playwright or equivalent, Ability to design and maintain scalable, reliable automated test frameworks, Experience integrating automation and analysis tools into CI pipelines, Experience coaching engineers on testing practices and improving team-owned quality, Ability to operate effectively in ambiguous, fast-changing environments 📃 Skills: Python, Playwright, AI, LLM, RAG, CI, Automation, Testing, E2E, UnitTesting, IntegrationTesting 🏢 Description: Location: Hybrid 2 days per week, based in Warsaw (Czackiego 15/17). We're open to candidates based outside Warsaw, provided the 2-day commitment is realistically sustainable from where you live. Please don't treat this as a starting point for negotiation - we value the structure and consistency it brings and we want you to see the value in it too. If you're based further away, we'll assume openness to relocation is part of the conversation. About hyperexponential (hx) At hyperexponential, we're building the AI-powered platform that enables the world's most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We're changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we're scaling globally - already trusted by nearly 50 of the world's largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world's first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn't tied to title or tenure; it's defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you'll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. About the team Quality Engineering at hx is undergoing a strategic shift. We're moving from an embedded model, where QEs sit in product teams and deliver hands-on testing, to an enablement model, where a small central team builds the tools, standards, and coaching that help every engineer own quality. It's one of hx's boldest engineering experiments: making quality genuinely self-service without sacrificing the rigour our customers rely on. The team sits at the intersection of test automation, AI tooling, release readiness, and organisational change. We're building AI-powered systems that make end-to-end test creation accessible to all engineers, automate failure classification and routing, and provide the standards, guidance, and feedback loops teams need to make better quality decisions independently. That means shaping quality strategy, improving release risk assessment, and establishing lightweight, scalable processes for staging, deployment, and learning from failure. This is strategic work with company-wide impact, requiring technical depth, strong technical judgement, coaching capability, and comfort with ambiguity. As the third member of this newly formed team, you'll join at a pivotal moment. You'll contribute to the managed transition away from embedded QE support, take ownership of AI-powered automation tools still being defined, and build the foundations that allow hx to scale quality across dozens of engineering teams. Your work will shape whether teams can ship independently, whether release processes stay fast and trusted as we grow, and whether hx can maintain velocity without compromising reliability. Check out our Engineering Candidate Hub for a behind the scenes look at the team you would be joining! What you'll be doing Accelerate the development and adoption of hx's AI-powered end-to-end test writing agent, improving its accuracy and framework coverage to the point where at least 15 engineers across 5+ teams are independently writing E2E tests within six months of widespread release. Design and deploy an AI-powered nightly build analyser that automatically classifies test failures and routes them to owning teams, reducing daily manual review effort by 80% and proving reliable enough to extend to the release pipeline. Establish quality self-service foundations for product teams by delivering test design guidance, executable E2E framework documentation (as AI agent specifications), quality standards references, and release risk assessment templates that enable at least three teams to complete release assessments without direct QE involvement. Support the managed withdrawal of QE support from embedded product teams by contributing to fixed-scope deliverables that ensure no critical gaps in E2E coverage or delivery confidence, enabling both current QEs to transition on schedule with no unplanned regressions. Grow E2E test coverage across the organisation through coaching, pairing, and AI tooling support, increasing the number of product teams writing their own E2E tests to at least 50% within the first 12 months. Build credibility and influence across engineering teams by working alongside engineers to solve real quality challenges, demonstrating the value of team-owned quality through concrete examples rather than process mandates, and making quality ownership feel like teams' own goal rather than an external requirement. What you'll need to have done Built AI-powered tools or automations in production environments (e.g., prompt engineering, agent design, RAG pipelines, or CI-integrated analysis), demonstrating the ability to design solutions others rely on rather than just using AI assistants as coding aids. Designed and implemented automated test strategies across multiple test levels (unit, integration, E2E) for complex systems, making sound judgements about what to test at which level and communicating those trade-offs clearly to non-specialist engineers. Owned end-to-end test automation using Python and Playwright (or equivalent frameworks), writing clean, maintainable tests with clear patterns that other engineers can extend, including experience managing flaky test suites and establishing conventions for new automation from scratch. Coached or enabled engineering teams to improve their testing practices through hands-on pairing and mentoring, demonstrating measurable improvements in team capability such as increased test coverage, reduced manual testing dependencies, or improved release confidence. Influenced quality improvements across teams you didn't directly manage, building credibility through practical demonstration and making benefits concrete rather than relying on process mandates or formal authority. Operated effectively in environments characterised by ambiguity and rapid change, taking ownership of problems from identification through to iterative solution, and adapting approach based on feedback without losing momentum. You're unlikely to thrive here if You prefer clearly defined processes and established playbooks over building the systems and standards from first principles in a rapidly evolving environment. You're more comfortable being the person who delivers quality work directly rather than enabling others to build that capability themselves, or you measure success primarily by your own output rather than what teams can achieve independently. You view AI tools with scepticism or aren't genuinely curious about how to apply them practically to solve real engineering problems, or you're unwilling to learn new languages and frameworks as the problem demands. If reading our Culture Document leaves you feeling neutral rather than energised, hx may not be the place where you'll do your best work. We're building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. Compensation At hx, we're committed to salary transparency. You'll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we're working towards publishing salary information for all roles globally. Because we're building at the intersection of technology/SaaS and insurance, our roles don't always map neatly onto traditional benchmarks. Our approach is to design compensation that's competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. Benefits Depending on how you choose to join hx (B2B or UoP), your benefits can look like: B2B Share Options at a highly successful Series B company. 25 days of non-working + 14 Polish bank holidays. £5,000 budget for Learning & Development. Mental Health Support and Therapy via Spectrum Life. Optional for you: access to Healthcare package provided by Luxmed + Multisport (fully funded by yourself as B2B Contractor). Top-spec laptop (MacOS or Windows). Contract of employment (UoP) Share Options at a highly successful Series B company. £5,000 budget for learning & development. 26 days of holiday + 14 Polish bank holidays. Company pension. 10 days company sick pay at 100% salary, thereafter in line with labour law. Mental health support and therapy via Spectrum Life. Monthly wellbeing allowance via Juno. Healthcare package provided by Luxmed. Multisport card at Classic level. Top-spec work equipment (MacOS / Windows + additional monitors, mechanical keyboards etc). Additional perks Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Team breakfasts and lunches, snacks, drinks fridge, and a fun office at The Brain Embassy . Exceptional opportunities for personal development and growth as we build something remarkable together. Interview process Talent Partner Screen Hiring Manager Interview Technical Assessment (e.g., code review, system design) Values Interview with Tech Leadership (60 minutes). We Offer! Our commitment to Diversity hxers are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you're energised by complexity and motivated to grow, we encourage you to apply and join our global team. Next steps If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page.

🏢 Summary: The offer is for a Senior Robotics Software Engineer responsible for developing and scaling core robotics software, leading migration to ROS2, and implementing Digital Twins in Nvidia IsaacSim. The role focuses on building robust control systems, accurate simulations, and real-world interaction logic for intelligent robots operating in production. It combines advanced software engineering with hands-on robotics challenges in a hybrid work model. 🗂️ Requirements: Strong proficiency in Python or C++, Experience with ROS or ROS2, Experience with simulation tools (Gazebo, Nvidia IsaacSim, Nvidia Omniverse), Experience with cloud technologies, Ability to design modular control systems, Experience with robotics projects or R&D initiatives, Fluent English 📃 Skills: Python, C++, ROS, ROS2, Gazebo, IsaacSim, Omniverse, Cloud, Robotics, Simulation 🏢 Description: Location: Warsaw (Hybrid - 5 days in the office / month) Salary: 26,000 - 32,000 PLN gross (Employment Contract) + Equity Contract Type: Employment Contract (eligible for 75% tax-deductible costs / AKUP) 🚀 Our Client For our Client - a fast-growing deep-tech startup backed by top VC funds - we are looking for a hybrid engineer who bridges the gap between high-level software and physical hardware. The company is in the best position globally to solve the "Physical AI deployment gap" - currently the hottest topic in Artificial Intelligence. They build intelligent robots that are already operating at scale, and they are looking for someone to help "teach" these robots to understand the real world. The engineering team consists of veterans from Google, Nvidia, ByteDance , and top robotics companies. The organization values a culture of ownership, offering freedom to build amazing things without micro-management. 🎯 Your Role in the Team As a Senior Robotics Software Engineer, you will face hard technical problems right from the start. Key challenges for the first 3 months include migrating the technology stack to ROS2 and introducing "Digital Twins" in Nvidia IsaacSim . You will: Core Robotics Development: Design and implement modular control systems. The team needs robust code, not just high-level GUI configurations. Simulation & Digital Twins: Work with Nvidia IsaacSim / Omniverse to create accurate simulations that speed up deployment. ROS2 Migration: Lead the architectural shift to ROS2 to ensure the robots are future-proof. Handle Reality: Develop heuristics to handle physical interactions and detect anomalies (e.g., verifying if a robot picked the correct item). Mentoring: Share your software and design experience with the team, promoting leadership and technical excellence. What We Expect ✅ The ideal candidate combines strong Core Software Skills with a genuine passion for Robotics. Software Engineering Core: Strong proficiency in Python or C++ and Cloud technologies. Robotics Stack: Experience with ROS / ROS2 and simulation tools like Gazebo, Nvidia IsaacSim, or Nvidia Omniverse . Engineering Background: Candidates with a background in student robotics projects or similar R&D initiatives are highly valued. The Right Mindset: If you have prior experience with robotics technologies but later worked as a "standard" software engineer, you are a perfect fit! Language: Fluent English. Note: The client is NOT looking for specialists experienced only in programming industrial robots via high-level GUIs. What We Offer 🎁 Top Compensation: 26k-32k PLN gross + 75% Tax-Deductible Costs (AKUP). Equity: Significant equity package – you become a co-owner of the company. Real Impact: You will see your code powering robots in production environments, solving problems no one has solved before. Best Team: Work with and learn from engineers who built Google Warsaw, unicorn startups (Climate Corp), and tested rocket engines. Freedom & Responsibility: Flexible working hours and a hybrid model (partly remote work possible). The company trusts its engineers to do their job effectively. Ready to close the Physical AI deployment gap? Apply now!

🏢 Summary: Hybrid software engineering role focused on building and maintaining frontend, desktop, mobile, and cloud features for Tulip’s Edge platform used in industrial operations. The position involves developing production-grade applications, integrating devices and microservices, and collaborating across product, QA, and embedded engineering teams. Candidates will contribute to scalable infrastructure, debugging, testing, and deployment practices in a fast-paced AI-native manufacturing environment. 🗂️ Requirements: 2-5+ years of software engineering experience, Strong proficiency in TypeScript, Experience building production web applications, Familiarity with RESTful API design and integration, Proficiency in unit testing, Proficiency in integration testing, Debugging skills, Ability to work independently and in teams 📃 Skills: TypeScript, REST, React, ReactNative, Expo, Electron, MacOS, Windows, Kubernetes, CI/CD, Microservices, Cursor, Claude, Copilot 🏢 Description: This role is located in Somerville, MA - We are a hybrid work environment and are in the office 3+ days/per week. Tulip, the leader in AI-native frontline operations, is helping companies around the world equip their workforce with composable, connected apps, leading to higher quality work, improved efficiency, and end-to-end traceability across operations. Tulip's cloud-native, no-code platform, powered by embedded AI, is driving the digital transformation of industrial environments through composable, human-centric solutions that go beyond disrupting the Manufacturing Execution System (MES) category. About You: You're a builder at heart, someone who thrives on shipping features that make an immediate difference for frontline teams. You love learning new things and are a collaborative team player, whether working independently or as part of a group. You have a product mindset and empathy for the end user — the operators and admins who rely on Edge every day. You love a good challenge and enjoy diving into unfamiliar corners of a large tech stack. You care about the details that make software feel fast and dependable. What skills do I need? 2-5+ years of software engineering experience, ideally building production web applications. Strong proficiency in TypeScript is required. Familiarity with API design and integration (RESTful services). Proficiency in unit testing, integration testing, and debugging practices. Works well both as an individual and as part of a team. Nice to Have: Familiarity with React, React Native/Expo (mobile) and/or Electron (desktop) app development. Experience with MacOS and Windows platform development. Experience with hardware/device integrations. Knowledge of Kubernetes/container orchestration and microservices deployment. Knowledge of CI/CD pipelines and automated deployment strategies. Comfortable using AI coding tools (Cursor, Claude Code, Copilot, or equivalent) to land production PRs. Key Responsibilities: Design, build, and maintain features across Edge's product surfaces, such as the Tulip Player application, device drivers, and cloud microservices. Partner with product, design, and QA to scope and ship features end-to-end, from prototype to production. Debug and resolve customer-facing issues surfaced in real manufacturing environments. Write clean, tested, well-documented code, and participate in code review to raise the bar for the team. Contribute to technical and architecture decisions that affect the reliability and scalability of the platform. Take part in the team's on-call/support rotation, triaging and resolving incoming technical requests. Collaborate with Edge's embedded engineers on integrations touching drivers and devices. Help evolve deployment, monitoring, and infrastructure practices, including microservices and container tooling. Key Collaborators: Product Design Product Management QA Customer Support Working At Tulip: We know even great candidates experience imposter syndrome. Even if you don't match every requirement, applying gives you the opportunity to be considered. We're building a strong, diverse team that values hard work, families, and personal well-being. Here are some of the benefits of working with us: Direct impact on product and culture. Company equity. Competitive benefits package including Health, Dental, Vision, Short-term Disability, Long-term Disability, Life Insurance, AD&D Insurance, Flexible Spending Account (FSA), Commuter Benefits, Parental Leave, and 401(K). Flexible work schedule and unlimited vacation policy Fitness subsidies. Dog-friendly office. We are an equal opportunity employer. At Tulip, we celebrate all and are committed to building an inclusive community that will transform frontline operations. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range posted, actual compensation will be determined depending on multiple factors including job-related knowledge & skills, experience, business needs, geographical location, market compensation data, and internal equity. Expected compensation ranges for this role may change over time. The salary range for this position is $130,000 - $180,000 per year. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Please note that we may use AI-based tools to support parts of our hiring process. All data processing is carried out in compliance with local data protection laws, ensuring all personal candidate information is handled securely and ethically.

🏢 Summary: Offer for an experienced Python Backend Developer to build and scale AI-driven web microservices using FastAPI and PostgreSQL. The role focuses on developing AI solutions with frameworks like LangChain/LangGraph and integrating them into modern, scalable systems. You will work on high-quality code, RAG-based architectures, and AI-powered features in close collaboration with a backend and AI team. 🗂️ Requirements: Minimum 3 years of commercial experience with Python in web application development, Practical experience with FastAPI, Experience building AI solutions using LangChain or LangGraph, Basic knowledge of prompt engineering, Practical knowledge of PostgreSQL, Proficiency with Git and GitHub, Ability to use AI coding assistants (e.g., GitHub Copilot, Claude Code) 📃 Skills: Python, FastAPI, LangChain, LangGraph, PostgreSQL, Git, GitHub, PromptEngineering, GitHubCopilot, ClaudeCode, AI, RAG, Microservices 🏢 Description: Lubisz mieć realny wpływ na to, co tworzysz? My też! Szukamy osoby z doświadczeniem, która wnosi pomysły, potrafi dostrzegać problemy i proponować rozwiązania. Pracujemy w środowisku opartym na zaufaniu, jakości kodu i odpowiedzialności. Stawiamy na proaktywność, samodzielność, dobrą komunikację i pracę zespołową. Jeśli szukasz miejsca, w którym masz realny wpływ - prześlij swoje CV 📩 🔧  Szukamy osoby, która ma: Minimum 3 lata komercyjnego doświadczenia z Pythonem, w tworzeniu aplikacji webowych (warunek konieczny) Praktyczne doświadczenie z FAST API Umiejętność budowania rozwiązań AI w oparciu o frameworki typu LangChain/LangGraph Podstawową wiedzę z zakresu prompt engineering Praktyczną znajomość PostgreSQL Biegła znajomość systemu kontroli wersji (GIT), przy użyciu np. GitHub Potrafi używać AI jako wsparcia podczas pisania kodu.(np. GitHub Copilot, Claude Code) Wysokie umiejętności komunikacyjne, samodzielność i nastawienie na rozwój Język polski biegły; j. angielski min. B2 (codzienna komunikacja) Nice to have: Praktyczna umiejętność pracy w środowisku AWS Umiejętność delegowania i zarządzania pracą agentów AI Doświadczenie w zakresie wektorowych baz danych (np. pgvector) Wiedza w zakresie monitoringu (np. LangSmith, Sentry, CloudWatch) Doświadczenie w pracy w modelu SDD (Spec-Driven Development) 🚀 Co będziesz robić na co dzień Tworzyć mikrousługi (FastAPI + PostgreSQL) Tworzyć nowe funkcje i integrować je z istniejącą bazą kodu Testować i debugować kod w celu zapewnienia jego poprawnego działania Skupiać się na jakości rozwiązań i doświadczeniu użytkownika Rozwijać umiejętności tworzenia wydajnych i skalowalnych systemów AI Współpracować z AI Tech Leadem oraz zespołem backend Projektować nowoczesne systemy oparte m.in . na RAG, A2A, MCP Wdrażać i usprawniać wewnętrzną bazę wiedzy w ramach podejścia SDD (Spec-Driven Development) 💡 Co oferujemy Wynagrodzenie: 12 600 - 19 320 zł netto B2B, zależnie od umiejętności oraz ocenionego poziomu Realny wpływ na decyzje techniczne Pracę z zespołem doświadczonych inżynierów (backend, frontend, QA, DevOps) Bliskość AI i szansa na zdobycie doświadczenia z LLM i agentami autonomicznymi Zaufanie i autonomię, nie tracisz czasu na procedury Merytoryczne dyskusje i szybki feedback - każdy głos się liczy Rozwój miękki i techniczny - warsztaty, dostęp do kursów i wiedzy eksperckiej Elastyczne godziny i core hours 10:00 - 15:00 Pracę zdalną lub hybrydową, 1-2 dni w tygodniu z biura (biuro w centrum Bielsku-Białej - kawa, ekspres, gry, wygodne stanowiska 😉) 🧩 Jak wygląda proces rekrutacji? Rozmowa wstępna z HR Business Partnerem, telefonicznie - 10-15 minut, część w j.angielskim Spotkanie techniczne (część w j. angielskim) - rozmowa + zadanie praktyczne Spotkanie z HR Business Partnerem - podczas którego poznamy się lepiej, porozmawiamy o Twoim doświadczeniu i o tym, co możemy zrobić wspólnie. 📩 Chcesz do nas dołączyć? Wyślij swoje CV! Przejrzymy każde zgłoszenie z uwagą - odezwiemy się do kandydatów, z którymi chcielibyśmy porozmawiać.

🏢 Summary: Senior Full-Stack Engineer role (100% remote, B2B) focused on building AI-powered, agent-based product features end-to-end, from data modeling to user interface. The position involves designing backend systems, APIs, document processing pipelines, and AWS-based infrastructure, while integrating LLM capabilities into the product. The project emphasizes production-grade systems, AI-assisted development, and scalable cloud architecture. 🗂️ Requirements: Minimum 7 years of software engineering experience with proven production deployments, Minimum 3 years of commercial experience with Next.js, Advanced knowledge of TypeScript, Advanced knowledge of Python, Experience in system design, data modeling and API development, Experience building and managing AWS cloud infrastructure, Daily use of AI-assisted development tools (e.g., Codex, Claude), Advanced English proficiency (C1+), Strong communication skills 📃 Skills: Next.js, TypeScript, Python, AWS, API, LLM, Codex, Claude, AI, SOC2, ISO27001 🏢 Description: Miejsce pracy: Zdalnie (100% zdalnie) Start: ASAP (akceptowalny max 30 dniowy okres wypowiedzenia) Forma współpracy: B2B z ITFS Stawka: 150-175 PLN/h + VAT Proces rekrutacyjny: Krótka rozmowa telefoniczna z rekruterem ITFS -> Krótka rozmowa miękko-techniczna -> Rozmowa techniczna -> Decyzja Zadania: Tworzenie i wdrażanie pełnocyklowych funkcji full-stack od modelu danych do interfejsu użytkownika, Samodzielne zarządzanie funkcjami w pełnym cyklu życia produktu (określanie zakresu, wdrażanie, testowanie), Projektowanie i utrzymywanie systemów backendowych oraz interfejsów API zasilających przepływy pracy oparte na agentach AI (agentic workflows), Budowanie pipieline’ów przetwarzania dokumentów Zarządzanie infrastrukturą wyszukiwania Zarządzanie infrastrukturą i observability budowanych systemów na platformie AWS Budowanie agentów Tworzenie pipeline’ów generowania dokumentów Budowanie systemów generujących podręczniki firmowe Integracja możliwości modeli LLM z interfejsem produktu Wymagania: Min. 7 lat doświadczenia w inżynierii oprogramowania wraz z udokumentowanym doświadczeniem we wdrażaniu systemów produkcyjnych Min. 3 lata doświadczenia komercyjnego z Next.js Zaawansowana znajomość TypeScript oraz Python Wiedza i doświadczenie w zakresie projektowania systemów, modelowania danych i tworzenia API Doświadczenie w budowaniu i obsłudze infrastruktury chmurowej AWS Dbałość o wartość biznesową budowanych rozwiązań Swobodne i codzienne korzystanie z narzędzi do rozwoju wspomaganego przez sztuczną inteligencję, takich jak Codex, Claude itp. Doskonałe umiejętności komunikacyjne Zaawansowana znajomość j.angielskiego - poziom C1+ Mile widziane: Doświadczenie w startupie (najlepiej na etapie pre-Series A) Znajomość wzorców agentowych AI (agentic AI patterns): używanie narzędzi, orkiestracja, pobieranie danych, strukturyzowane generowanie Doświadczenie z branży legaltech, fintech lub innego regulowanego sektora B2B SaaS Znajomość mechanizmów przepływu pracy prawnej (umowy, tworzenie podmiotów, zatrudnienie, własność intelektualna) Doświadczenie z zapewnianiem zgodności SOC 2 / ISO 27001 lub pracami nad gotowością korporacyjną systemów Oferujemy: Możliwość skorzystania z pakietu medycznego i sportowego, Możliwość skorzystania z darmowej opieki księgowej (do 3 wpisów miesięcznie), Praca przy ciekawym i rozwojowym projekcie, Przejrzyste warunki współpracy w firmie o pewnej i stabilnej pozycji rynkowej. Nr identyfikacyjny projektu: P3434

🏢 Summary: Summer Software Engineering Internship focused on building and improving scalable solutions for a digital manufacturing platform. The role involves contributing to real-world projects, collaborating with engineers, and applying best practices in software development within an agile environment. This is a full-time, temporary, onsite internship during summer 2026. 🗂️ Requirements: Currently enrolled in an accredited college or university, Graduating in December 2026 or May 2027, Minimum 3.5 GPA, Ability to work full-time (40 hours/week) from June 8 to August 14, 2026, Ability to work onsite at least 3 days per week in North Bethesda, MD or Waltham, MA, Legal authorization to work in the United States, Provide unofficial transcript, Knowledge of software development fundamentals, Ability to participate in agile development processes 📃 Skills: SoftwareDevelopment, Testing, VersionControl, Debugging, CodeOptimization, Agile, ScalableSystems, Frameworks, Tools 🏢 Description: Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity.Are you a driven college student eager to make a real impact at a cutting-edge technology company? Xometry's Summer Internship Program offers a unique opportunity to gain hands-on experience and develop essential skills in the manufacturing industry. As a Software Engineering Intern at Xometry, you'll work on real-world projects that directly impact our platform, collaborate with experienced engineers, and learn how to apply your technical skills to solve complex problems in a dynamic and fast-paced environment. What You'll Do: Contribute to the design, development, and testing of scalable software solutions that power Xometry's platform. Collaborate with cross-functional teams to identify and resolve technical challenges. Learn and apply best practices in software development, including version control, debugging, and code optimization. Participate in team meetings, code reviews, and agile development processes. Gain exposure to modern technologies, frameworks, and tools used in the manufacturing industry. What We Offer: Mentorship: Learn from experienced professionals and receive guidance from a dedicated intern captain. Dynamic Culture: Embrace a fast-paced, collaborative environment that values innovation and flexibility. Professional Development: Gain practical skills in digital marketing, social media, content marketing, and more. What We're Looking For: Academic Excellence: Currently enrolled in an accredited college or university, graduating in December 2026 or May 2027, with a minimum 3.5 GPA. Strong Work Ethic: Ability to work full-time (40 hours/week) during the internship period (June 8 - August 14, 2026). Excellent Communication Skills: Strong verbal and written communication skills. Entrepreneurial Spirit: A passion for problem-solving and a desire to drive results. Legal Authorization: Ability to provide proof of legal right to work in the United States. Location Requirement: Ability to commute to our North Bethesda, MD or Waltham, MA office to work onsite for at least 3 days a week. Provide Unofficial Transcript The estimated base pay rate for new hires into this role is $27.00 per hour depending on factors such as job-related skills, relevant experience, and location. This is a temporary position. #LI-HybridXometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

🏢 Summary: Oferta dotyczy roli Senior Test Automation Engineer z naciskiem na wykorzystanie narzędzi AI w procesach testowych i SDLC w dużej organizacji finansowej. Praca hybrydowa w Warszawie obejmuje prowadzenie szkoleń, wdrażanie rozwiązań AI oraz wsparcie zespołów testerskich w automatyzacji i budowaniu workflowów AI. Współpraca realizowana jest w modelu B2B ze stawką do 150 zł/h netto+VAT. 🗂️ Requirements: Minimum 6-7 lat doświadczenia jako Tester Automatyzujący, Znajomość Selenium, Znajomość Jenkins, Znajomość Postman, Znajomość GitHub lub Bitbucket, Znajomość Kibana, Znajomość JMeter, Znajomość SQL, Praktyczne doświadczenie z narzędziami AI, Doświadczenie w dużych organizacjach finansowych, Znajomość ekosystemu AI i LLM, Umiejętność tworzenia promptów i workflowów AI, Doświadczenie w prowadzeniu szkoleń i warsztatów IT 📃 Skills: Selenium, Jenkins, Postman, GitHub, Bitbucket, Kibana, JMeter, SQL, Copilot, ChatGPT, Claude, oLlama, LLM, AI 🏢 Description: Miejsce pracy: hybrydowo (Warszawa) - wizyty w biurze 1 raz w tygodniu Start pracy: ASAP (preferowany okres wypowiedzenia max 14 dni) Forma współpracy: B2B Stawka: do 150 zł/h netto+VAT Wymagania: Min. 6-7 lat doświadczenia w roli Testera Automatyzującego Znajomość: Selenium , Jenkins, Postman, GitHub / Bitbucket , Kibana, JMeter Znajomość SQL Praktyczne doświadczenie w pracy z narzędziami AI (GitHub Copilot, M365 Copilot ChatGPT, Claude, oLlama itd.) Doświadczenie w wytwarzaniu oprogramowania w dużych organizacjach finansowych Wysokie zdolności komunikacyjne, umiejętność oraz chęć uczenia innych Znajomość współczesnego ekosystemu AI (LLM, generowanie treści, automatyzacje) Umiejętność budowy efektywnych promptów i workflowów Otwartość na  naukę – chęć testowania nowych narzędzi i metod pracy z AI Doświadczenie w prowadzeniu szkoleń, warsztatów lub szkoleń wewnętrznych (w obszarze IT, digital, data, nowoczesne technologie) Zadania: Prowadzenie szkoleń, warsztatów, konsultacji Wsparcie testerów w korzystaniu z narzędzi typu GH Copilot oraz Claude Code Pomoc w budowaniu efektywnych „promptów” Tworzenie wewnętrznej bazy dobrych praktyk w zakresie wykorzystania AI Monitorowanie i dzielenie się wiedzą o nowościach w świecie AI Porównanie rozwiązań (GH Copilot Chat oraz M365 Copilot vs alternatywy) i rekomendacje na podstawie jakości, kosztu, ryzyk i zgodności. Definicja i pomiar KPI/OKR, ROI oraz raportowanie wyników do interesariuszy IT. Prowadzenie wdrożeń AI w SDLC: analiza potrzeb, konfiguracja, standardy użycia, policy & governance, skalowanie. Koordynowanie działań skupionych wokół inicjatyw AI