AI Engineer with Python

🏢 Summary: Oferta dla Software Testera łączącego testy manualne i eksploracyjne z automatyzacją UI oraz API. Rola obejmuje testy wydajnościowe, rozwój środowisk testowych, współpracę z CI/CD i wykorzystanie narzędzi AI do usprawniania QA. 🗂️ Requirements: Minimum 3 lata doświadczenia w testowaniu oprogramowania, Testowanie manualne i eksploracyjne, Automatyzacja testów UI i API, TypeScript lub Python, Playwright, Postman, Bruno lub SoapUI, Testy wydajnościowe w k6, REST API i GraphQL, Podstawowa znajomość Docker i Kubernetes, Argo CD lub gotowość do szybkiej nauki, Praktyczne wykorzystanie narzędzi AI w testowaniu, Język angielski minimum B2 📃 Skills: TypeScript, Python, Playwright, Postman, Bruno, SoapUI, k6, REST, GraphQL, Docker, Kubernetes, ArgoCD, AI 🏢 Description: Cześć, jesteśmy Axabee 👋 Od 2012 roku dostarczamy naszym klientom innowacyjne produkty i usługi IT oraz rozwiązania cyfrowe, które przynoszą im realną wartość. Specjalizujemy się w branży turystycznej i e-commerce, współpracując z takimi markami jak Itaka czy Čedok. Łączy nas jeden wspólny cel - chcemy pokazywać milionom użytkowników aplikacji mobilnych i webowych, że technologia może pomagać nam pokonywać ograniczenia i poprawiać jakość naszego życia. Rozwijamy się i szukamy Software Testera , który łączy mocne umiejętności w zakresie testowania manualnego i eksploracyjnego z praktycznym doświadczeniem w automatyzacji testów. Szukamy osoby, która potrafi spojrzeć na aplikację z perspektywy użytkownika, dba o jakość produktu i aktywnie wspiera zespół w dostarczaniu niezawodnego oprogramowania. Cenimy osoby, które wykazują się inicjatywą, jasno komunikują ryzyka i rekomendacje oraz efektywnie współpracują z całym zespołem projektowym. Ważnym elementem tej roli będzie również praktyczne wykorzystywanie narzędzi opartych na AI w celu usprawniania procesu testowania i zwiększania efektywności codziennej pracy. Co będziesz robić? Przygotowywać, wykonywać i utrzymywać scenariusze oraz przypadki testowe. Prowadzić testy manualne i eksploracyjne aplikacji webowych oraz API (REST, GraphQL). Projektować, implementować i utrzymywać automatyczne testy UI i API z wykorzystaniem Playwright w TypeScript i/lub Pythonie , a także Postman/Bruno lub SoapUI. Planować, wykonywać i analizować testy wydajnościowe z wykorzystaniem narzędzia k6 . Analizować wyniki testów, raportować defekty oraz ściśle współpracować z developerami przy ich diagnozowaniu i usuwaniu. Wspierać utrzymanie i rozwój środowisk testowych opartych na Dockerze i Kubernetesie . Współpracować z pipeline'ami CI/CD oraz procesami wdrożeniowymi opartymi o Argo CD . Identyfikować obszary, w których automatyzacja może przynieść realną wartość, oraz proponować usprawnienia procesu QA. Wykorzystywać narzędzia oparte na AI w celu zwiększania efektywności testowania i wspierania codziennych działań QA. Jasno komunikować ryzyka jakościowe oraz rekomendować działania, które mogą poprawić jakość produktu. Od Ciebie oczekujemy: Minimum 3 lata komercyjnego doświadczenia w testowaniu oprogramowania . Praktyczne doświadczenie w testowaniu manualnym i eksploracyjnym . Praktyczne doświadczenie w automatyzacji testów UI i API z wykorzystaniem TypeScript i/lub Pythona. Bardzo dobra znajomość Playwright oraz Postman/Bruno lub SoapUI. Doświadczenie w projektowaniu i wykonywaniu testów wydajnościowych z wykorzystaniem k6 . Dobra znajomość REST API i GraphQL . Podstawowa znajomość Dockera i Kubernetesa , szczególnie w kontekście uruchamiania i obsługi środowisk testowych. Znajomość Argo CD lub gotowość do szybkiego wdrożenia się w to narzędzie. Praktyczne doświadczenie w wykorzystywaniu narzędzi opartych na AI do usprawniania procesu testowania i zwiększania efektywności codziennej pracy. Umiejętność analitycznego myślenia i skutecznego rozwiązywania problemów. Proaktywne podejście i inicjatywa w identyfikowaniu ryzyk oraz proponowaniu usprawnień. Bardzo dobra organizacja pracy i umiejętność ustalania priorytetów. Dokładność, odpowiedzialność i dbałość o wysoką jakość oprogramowania. Umiejętność jasnej i skutecznej komunikacji oraz efektywnej współpracy z zespołami technicznymi i interesariuszami. Otwartość na feedback i chęć ciągłego rozwoju. Znajomość języka angielskiego na poziomie minimum B2 . Mile widziane: Doświadczenie w testowaniu bezpieczeństwa aplikacji i API . Znajomość narzędzi wykorzystywanych do testów bezpieczeństwa. Doświadczenie w integracji testów automatycznych z pipeline'ami CI/CD , np. GitLab CI, Jenkins lub GitHub Actions. Od siebie dajemy: Realny wpływ na technologie i rozwiązania, z których korzystamy, oraz możliwość tworzenia projektów zgodnie z własnymi pomysłami. Cenimy Twój punkt widzenia. Pracę przy globalnych aplikacjach w dynamicznie zmieniającej się branży, w tym również w obszarze turystyki (tak, dziś to duże wyzwanie!). Skupienie na jakości kodu - piszemy testy, robimy code review i dbamy o to, co tworzymy. Szkolenia i rozwój kompetencji - dzielimy się wiedzą wewnętrznie, uczestniczymy w konferencjach i korzystamy z kursów. Dofinansowanie urlopów w atrakcyjnych miejscach i lokalizacjach! Indywidualne podejście do Twojego rozwoju. Pracę w centrum Wrocławia/Opola - obecnie pracujemy w systemie hybrydowym lub w 100% zdalnie. Pracujemy z: JIRA, MS Teams, GitLab, Git, GitFlow oraz szeregiem narzędzi wspierających testowanie, automatyzację i dostarczanie oprogramowania. Porozmawiajmy o Twoich oczekiwaniach i sprawdźmy, czy nadajemy na tych samych falach! Cały proces rekrutacyjny prowadzimy online. Szanujemy Twój czas i stawiamy na szybką oraz skuteczną komunikację.

🏢 Summary: Join a remote B2B team as a Python Engineer building and deploying AI-driven LLM and NLP solutions. The role combines hands-on development of RAG, vector-search, and AI-agent workflows with client collaboration, technical decision-making, and product impact. 🗂️ Requirements: 5+ years of experience in software engineering, AI, ML, or a related field, Production experience with LLMs or NLP, Experience with RAG, vector search, or agent-based LLM architectures, Strong Python skills, Experience deploying models or pipelines with FastAPI, Strong communication skills, Polish at B2+ level, English at B2+ level 📃 Skills: Python, LLMs, NLP, RAG, FastAPI, NumPy, Pandas, Scikit-learn, Vector-search, Agents 🏢 Description: The role We're looking for an experienced Python Engineer to join our team and help build cutting-edge solutions using LLM technologies. If you enjoy having real impact on product direction, making key technical decisions, and working directly with clients- this role is for you. What you’ll do Work on the development and deployment of AI-driven features, ensuring timely delivery and continuous iteration Participate in client meetings to discuss progress, architecture, and system capabilities Build and improve LLM/NLP-based data extraction and analysis models Develop and orchestrate AI agents capable of handling multi-step, tool-augmented workflows Optimize system performance for real-time and large-scale applications Ensure statistical accuracy in lifecycle tracking and model evaluation Collaborate closely with product managers, engineers, and other stakeholders What we’re looking for 5+ years of experience in SE/AI/ML or a related field Hands-on experience with LLMs or NLP in production environments Experience with RAG, vector search, or agent-based LLM architectures Solid Python skills (NumPy, Pandas, Scikit-learn, etc.) Experience deploying models or pipelines using FastAPI Strong communication skills – your input will help shape the roadmap Comfortable working in a bilingual environment (Polish B2+, English B2+) Bonus points: Experience with Computer Vision What we offer 26 000 - 33 000 PLN net + VAT monthly, B2B 100% remote setup and flexible hours Private medical care, life insurance, and Multisport 🏃‍♂️‍➡️ Referral bonuses Equipment of your choice (MacBook by default) Interesting, challenging projects - we only take on the ones we believe in :-)

🏢 Summary: Oferta dla Developera Strapi obejmuje rozwój i utrzymanie aplikacji, tworzenie funkcjonalności oraz integracje z zewnętrznymi systemami i API. Rola koncentruje się na Strapi, Node.js, JavaScript/TypeScript, bazach danych i jakości kodu, z możliwością pracy hybrydowej lub zdalnej. 🗂️ Requirements: Minimum 1,5 roku doświadczenia z Headless CMS, szczególnie Strapi, Doświadczenie w tworzeniu i rozwijaniu pluginów Strapi, JavaScript, TypeScript, Node.js, npm, yarn, GraphQL, REST, Integracje API, Autoryzacja, Uwierzytelnianie, MongoDB, PostgreSQL, Testy jednostkowe, Testy integracyjne, Język angielski B2, Praktyczne wykorzystanie narzędzi AI 📃 Skills: Strapi, JavaScript, TypeScript, Node.js, npm, yarn, GraphQL, REST, MongoDB, PostgreSQL, Docker, Git, GitLab, GitFlow, JIRA, CI/CD 🏢 Description: Co będziesz robić? - Rozwijać i utrzymywać aplikacje oraz tworzyć nowe funkcjonalności. - Projektować i wdrażać rozwiązania odpowiadające na potrzeby biznesowe. - Tworzyć czytelny, skalowalny i łatwy w utrzymaniu kod. - Integrować aplikację z zewnętrznymi systemami i API. - Analizować i rozwiązywać problemy techniczne oraz optymalizować istniejące rozwiązania. - Uczestniczyć w code review i dbać o wysoką jakość kodu. - Współpracować z zespołem developerskim, Product Managerem, UX/UI Designerem oraz innymi zespołami. Od Ciebie oczekujemy: - Minimum 1,5 roku doświadczenia w pracy z Headless CMS, w szczególności Strapi. - Praktycznego doświadczenia w budowaniu i rozwijaniu własnych pluginów w Strapi. - Doświadczenia w programowaniu w JavaScript/TypeScript. - Dobrej znajomości Node.js oraz ekosystemu npm/yarn. - Znajomości GraphQL i REST API. - Doświadczenia w integracji z zewnętrznymi API, w tym w zakresie autoryzacji i uwierzytelniania. - Znajomości baz danych NoSQL (MongoDB) oraz SQL (PostgreSQL). - Umiejętności tworzenia i utrzymywania testów jednostkowych oraz integracyjnych. - Samodzielności w rozwiązywaniu problemów i proaktywnego podejścia do pracy. - Komunikatywności i umiejętności efektywnej współpracy w zespole. - Dobrej organizacji pracy i umiejętności zarządzania czasem. - Praktycznego podejścia do wykorzystywania narzędzi AI w celu zwiększania efektywności pracy. - Znajomości języka angielskiego na poziomie minimum B2. Mile widziane: - Znajomość technologii frontendowych, szczególnie React i Next.js. Od siebie dajemy: - Realny wpływ na technologie i rozwiązania oraz możliwość proponowania i wdrażania własnych pomysłów. - Pracę przy globalnych aplikacjach i rozwiązaniach cyfrowych w dynamicznie zmieniającej się branży. - Skupienie na jakości kodu: code review, dobre praktyki i rozwijanie rozwiązań. - Szkolenia i rozwój kompetencji, w tym wymianę wiedzy wewnętrznej, konferencje i kursy. - Indywidualne podejście do rozwoju. - Dofinansowanie urlopów w atrakcyjnych miejscach i lokalizacjach. - Pracę w systemie hybrydowym lub w 100% zdalnie. Pracujemy z: - JIRA, MS Teams, GitLab, Git i GitFlow. Technologie: - JavaScript/TypeScript, Node.js, Strapi, GraphQL, REST API, Docker, Git i systemy kontroli wersji, CI/CD. Cały proces rekrutacyjny prowadzony jest online, z naciskiem na szybką i skuteczną komunikację.

🏢 Summary: Senior Python MCP Engineer role building a cloud-native enterprise platform for developing, deploying, and observing AI agents at scale. The position focuses on MCP server implementations, Python services, AWS integrations, observability, security, and CI/CD collaboration. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, preferably with multi-agent systems, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio, and Pydantic expertise, AWS Lambda and API Gateway knowledge, Server-side MCP protocol implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, AWS, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, Lambda, APIGateway, OpenTelemetry, MCP, LangGraph, Bedrock, AgentCore 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role focused on building and standardizing MCP servers for an enterprise AI agent platform. The position develops cloud-native Python services and integrations on AWS, with observability, security, and CI/CD support for scalable agent deployments. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, ideally with multi-agent systems, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio, and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side protocol implementation knowledge, OpenTelemetry familiarity for traces, metrics, and logs, Container security baseline knowledge 📃 Skills: Python, AWS, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, Lambda, MCP, OpenTelemetry, LangGraph, Strands, AgentCore, Bedrock, Docker, CI/CD 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role focused on building and standardizing MCP servers for an enterprise AI agent platform. The position develops cloud-native Python services, AWS integrations, observability, security, and CI/CD capabilities for scalable agent deployment. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, ideally with multi-agent systems, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio, and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side protocol implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, AWS, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, Lambda, API Gateway, MCP, OpenTelemetry, LangGraph, Strands, AgentCore, Bedrock, Docker, CI/CD 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role building a cloud-native enterprise platform for developing, deploying and observing AI agents at scale. The position focuses on MCP server implementations, AWS integrations, observability and secure deployment automation. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, AWS, FastAPI, aiohttp, FastMCP, asyncio, Pydantic, Lambda, API Gateway, OpenTelemetry, MCP, LangGraph, Bedrock, AgentCore 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

🏢 Summary: Senior Python MCP Engineer role focused on building and scaling an enterprise, cloud-native AI agent platform. The position develops MCP servers and Python services, integrates AWS infrastructure, and establishes secure, observable deployments with platform and CI/CD teams. 🗂️ Requirements: 5+ years of Python development experience, Agent development experience, preferably multi-agent systems, AWS experience, API and integration engineering experience, Async Python framework proficiency, FastMCP, asyncio and Pydantic expertise, AWS Lambda and API Gateway knowledge, MCP server-side protocol implementation knowledge, OpenTelemetry familiarity, Container security baseline knowledge 📃 Skills: Python, FastMCP, asyncio, Pydantic, AWS, AgentCore, Bedrock, FastAPI, aiohttp, Lambda, APIGateway, MCP, OpenTelemetry, LangGraph, Strands, CI/CD 🏢 Description: We are looking for a Senior Python MCP Engineer to join our team building an Enterprise Agent Development Platform — a production-grade, cloud-native ecosystem that enables engineering teams to define, orchestrate, deploy, and observe AI agents at scale. The platform standardizes agent development across the organization using LangGraph and Strands Agents on AWS AgentCore Runtime, providing a single-file developer experience where the platform handles runtime, tooling, observability, and deployment automatically. The initiative spans agent framework design, runtime architecture, marketplace integration, CI/CD automation, and enterprise-grade observability — reducing agent development from months to days while enforcing consistent security, quality, and governance standards. Responsibilities Implement MCP server templates to standardize enterprise agent development Onboard the first enterprise MCP servers onto the platform Design and build server-side MCP protocol implementations Develop Python-based services using FastMCP, asyncio, and Pydantic Deploy and manage integrations through AWS Lambda and API Gateway Establish observability pipelines using OpenTelemetry for traces, metrics, and logs Apply container security baseline standards across MCP server deployments Collaborate with platform teams on runtime architecture and CI/CD automation Requirements 5+ years of experience in Python development Proven Agent Development experience (ideally Multi-Agent Systems) AWS experience, ideally with Agent Core or Bedrock Experience in API and integration engineering Proficiency in async Python frameworks such as FastAPI and aiohttp Expertise in Python libraries including FastMCP, asyncio, and Pydantic Knowledge of AWS Lambda and API Gateway Understanding of MCP protocol server-side implementation Familiarity with OpenTelemetry for traces, metrics, and logs Knowledge of container security baseline practices Nice to have Hands-on experience with the FastMCP library Familiarity with LangGraph tool integration Exposure to AWS Bedrock or AgentCore We offer We gather like-minded people: Top tech minds driving innovation in AI, cloud and digital platform modernization Supportive team and agile, startup-like culture Hybrid by design mode and opportunity to work remotely within Poland Chance to work abroad for up to 60 days annually Business-driven relocation opportunities We provide growth opportunities: Career development programs Thought leadership, mentoring, soft skills and well-being programs Certification (Anthropic, Gemini, GCP, Azure, AWS) English classes We cover it all: Stable pay Participation in the Employee Stock Purchase Plan with a 15% discount Benefits package (health insurance, multisport, shopping vouchers) Referral bonuses up to $2,000 Offices featuring entertainment and relaxation zones, table tennis and football, free snacks, coffee and more Corporate, social and well-being events Please, note: Benefits listed above are available to employees only We are open for working with Contractors. Terms of B2B cooperation agreements are agreed individually We will reach out to selected candidates exclusively EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.