GenAI Developer

🏢 Summary: Tech Lead AI responsible for designing and scaling GenAI systems based on Python, leading a team in building LLM-powered solutions such as chatbots, AI agents, and RAG systems. The role focuses on architecture, optimization, and integration of AI solutions with scalable backend and cloud environments. It combines hands-on development of advanced AI systems with technical leadership and strategic technology direction. 🗂️ Requirements: Minimum 6 years in software engineering, At least 2 years in Lead/Staff/Principal/Manager role, Expertise in Python, Experience with ML/AI frameworks, Experience building and optimizing LLM systems, Experience with chatbots, AI agents and RAG, Knowledge of scalable APIs and distributed systems, Experience with cloud platforms, Experience with Docker and Kubernetes, Experience with fine-tuning AI models, Knowledge of LangChain and LlamaIndex, Experience with MLOps and CI/CD for AI, Ability to design system architecture and conduct code reviews 📃 Skills: Python, Django, FastAPI, Flask, TensorFlow, PyTorch, HuggingFace, LLM, RAG, LangChain, LlamaIndex, OpenAI, Anthropic, Mistral, LLaMA, AWS, GCP, Azure, Docker, Kubernetes, MLOps, CI/CD, Prompting 🏢 Description: O roli Szukamy Tech Leada AI z silnym doświadczeniem w Pythonie , który będzie odpowiedzialny za architekturę i rozwój systemów opartych na GenAI . Osoba na tym stanowisku pokieruje zespołem inżynierów, wdrażając nowoczesne rozwiązania oparte na LLM, chatbotach, agentach AI i systemach RAG . Twoim zadaniem będzie tworzenie, optymalizacja i skalowanie systemów AI , a także aktywna współpraca z zespołami produktowymi, badawczymi i biznesowymi. Rola wymaga silnego technicznego leadershipu , strategicznego myślenia oraz umiejętności przekładania celów biznesowych na efektywne rozwiązania inżynieryjne . Twoje zadania 🔹 Projektowanie i rozwój systemów GenAI: Tworzenie architektury i infrastruktury AI opartych na Pythonie. Optymalizacja wydajności i skalowalności LLM, chatbotów, agentów AI oraz systemów RAG . Integracja rozwiązań AI z systemami backendowymi i produktami cyfrowymi. 🔹 Zarządzanie zespołem i technologią: Techniczne prowadzenie zespołu programistów, zapewnienie code quality i best practices . Mentoring i rozwój zespołu w zakresie technologii GenAI. Definiowanie roadmapy technologicznej i priorytetów zespołu. 🔹 Innowacje i strategia: Badanie i wdrażanie najnowszych frameworków oraz modeli LLM (np. OpenAI, Anthropic, Mistral, LLaMA). Tworzenie customowych modeli AI oraz optymalizacja procesów inferencji. Eksploracja możliwości fine-tuningu LLM oraz strategii prompt engineeringu . 🔹 Współpraca z biznesem i produktami: Ścisła współpraca z zespołami data science, ML i produktowymi . Konsultowanie architektury i strategii AI z interesariuszami biznesowymi. Tworzenie AI-driven rozwiązań , które realnie wpływają na użytkowników. Czego oczekujemy? Min. 6 lat doświadczenia w inżynierii oprogramowania , w tym 2+ lat jako Lead/ Staff/ Principal lub Manager. Ekspertyza w Pythonie (Django, FastAPI, Flask) oraz frameworkach ML/AI (TensorFlow, PyTorch, Hugging Face). Doświadczenie w tworzeniu i optymalizacji LLM, chatbotów, agentów AI, RAG . Znajomość architektur skalowalnych API i systemów rozproszonych . Doświadczenie w pracy z chmurami (AWS, GCP, Azure) i konteneryzacją (Docker, Kubernetes). Umiejętność prowadzenia code review, architektury rozwiązań i strategii technologicznej . Świetne zdolności komunikacyjne i współpracy z różnymi działami. Doświadczenie w fine-tuningu modeli AI i strategiach retrieval-augmented generation (RAG) . Znajomość technologii LangChain, LlamaIndex, Prompt Engineering . Background w MLOps, CI/CD dla AI .

🏢 Summary: Senior GenAI Engineer role focused on designing and implementing enterprise-grade AI solutions based on LLMs, Agentic AI, and Generative AI. The position involves building end-to-end AI architectures, developing AI/ML pipelines, and integrating intelligent systems with cloud and business platforms. The role also covers MLOps practices and advanced NLP-based solutions including RAG architectures. 🗂️ Requirements: Minimum 3 years experience in Data Science / Machine Learning / Artificial Intelligence, Commercial experience with Generative AI, LLMs or Agentic AI, Very good knowledge of Python, Experience with TensorFlow or PyTorch, Experience with Pandas and Scikit-Learn, Experience with at least one agent framework: LangChain, LangGraph, AutoGen or Semantic Kernel, Knowledge of NLP: tokenization, embeddings, semantic search, RAG architectures, Experience with Azure, AWS or GCP, Knowledge of SDLC 📃 Skills: Python, LLMs, GenerativeAI, AgenticAI, TensorFlow, PyTorch, Pandas, ScikitLearn, LangChain, LangGraph, AutoGen, SemanticKernel, NLP, Tokenization, Embeddings, SemanticSearch, RAG, Azure, AWS, GCP, MLOps, CICD, SDLC 🏢 Description: Poszukujemy doświadczonego Senior GenAI Engineera, który będzie odpowiedzialny za projektowanie i wdrażanie nowoczesnych rozwiązań opartych o LLMs, Agentic AI oraz architektury AI enterprise-grade. Zakres obowiązków Projektowanie i rozwój rozwiązań opartych o: Generative AI / Large Language Models (LLMs) / Agentic AI NLP / intelligent automation oraz AI copilots Tworzenie i wdrażanie architektur AI end-to-end Budowa rozwiązań z wykorzystaniem: LangChain / LangGraph / AutoGen / Semantic Kernel oraz innych frameworków agentowych Implementacja i optymalizacja pipeline’ów AI/ML Rozwój praktyk MLOps: CI/CD / monitoring modeli / deployment / observability Integracja modeli AI z rozwiązaniami biznesowymi i platformami cloud Współpraca z zespołami developerskimi, DevOps oraz biznesowymi Rozwijanie nowych podejść i innowacyjnych rozwiązań AI dla klientów enterprise Wymagania Min. 3 lata doświadczenia w obszarze: Data Science / Machine Learning / Artificial Intelligence Doświadczenie komercyjne w obszarze: Generative AI / LLMs / Agentic AI Bardzo dobra znajomość Python Znajomość frameworków: TensorFlow / PyTorch / Pandas / Scikit-Learn Doświadczenie z przynajmniej jednym frameworkiem: LangChain / LangGraph AutoGen / Semantic Kernel lub podobnym Znajomość NLP: tokenization / embeddings / semantic search / RAG architectures Doświadczenie z Azure, AWS lub GCP Znajomość SDLC Bardzo dobra znajomość języka angielskiego Nice to have Doświadczenie w sektorze automotive i/lub financial services Znajomość: Docker / Kubernetes / Git / Azure DevOps Doświadczenie w MLOps i monitoringu modeli AI Znajomość Trusted / Responsible AI Język niemiecki lub francuski

🏢 Summary: Senior Python Engineer role focused on designing and developing GenAI applications, including architecture, backend services, and AI integrations. The position involves building and maintaining APIs and microservices, integrating GenAI models (e.g., RAG, agentic workflows), and ensuring high-quality, well-tested solutions in cloud environments. The role requires close collaboration across the full project lifecycle while driving technical excellence in AI-powered systems. 🗂️ Requirements: 6+ years of experience in Python development, Fluency in Python ecosystem, Experience with FastAPI or Flask, Experience with SQL and NoSQL databases, Knowledge of clean code and design patterns in Python, Experience writing unit tests, Experience integrating GenAI models into business applications, Knowledge of RAG and agentic workflows, Experience building APIs and microservices, Familiarity with AWS, GCP, or Azure, Familiarity with Continuous Deployment, English C1, Polish C1 📃 Skills: Python, FastAPI, Flask, SQL, NoSQL, GenAI, RAG, APIs, Microservices, AWS, GCP, Azure, CI/CD, UnitTesting 🏢 Description: 🚀 You will be responsible for: Design architecture of GenAI applications, Design, develop, and maintain Python code in AI applications and components, Code review and identification of areas of improvments, Collaborate with data scientists and machine learning engineers to utilize AI models in the applications, Knowledge of basic types of solutions using GenAI models (RAGs, agentic workflows, etc.) Collaborate with other roles (managers, testers, DevOps, etc.) through the whole life cycle of a project, Develop and maintain APIs and microservices for AI integration with other systems, Conduct experiments and evaluations to measure the performance of GenAI models, Stay up-to-date with the latest advancements in GenAI technologies, Contribute to a collaborative and innovative team culture. Additional advantages, but not required directly for the position: Knowledge of another object-oriented programming language (Java/C#/C++) Knowledge of Machine Learning algorithms and libraries (scikit-learn, PyTorch) 👉 What you will need: At least 6 years of experience and fluency in Python development ecosystem, Experience in building back-end services in Python with frameworks like FastAPI (or Flask ), SQL and NoSQL databases , Knowledge of clean code and design patterns in Python , strong attitude to build well structured, high quality solutions, Experience in writing robust unit tests for developed applications, Experience in using GenAI models in building business applications, Familiarity with cloud platforms (AWS, GCP, Azure) and cloud-native technologies, Familiarity with Continuous Deployment lifecycle, Excellent problem-solving and analytical skills, Ability to work independently and as part of a team, Very good knowledge of English (C1) and Polish (C1) Strong communication and documentation skills 👉 What we offer: The opportunity to work on cutting-edge projects in the dynamic field of cloud and data technologies. A supportive and collaborative work environment that fosters professional growth . Competitive remuneration and various bonuses, such as access to private medical care ( Medicover or Luxmed ) and sport ( Multisport ) cards, reimbursement for English classes , access to the Employee Capital Plan ( PPK ) and b udget for professional development. We mostly work remotely , but we ask that you be willing to come to the office occasionally for workshops, client meetings or project-related discussions. Non-work-related activities galore! We have a running team (with a pro coach), internal competitions, from cookery to photography, a ping-pong league, team building, well-being expert seminars. You can suggest beneficiaries for our CF4GOOD charity program . Company culture rooted in respect and cooperation, not competition . You'll be working with great people, open to new challenges and directions. If you are tired of the proverbial corporate treadmill, come to us to rest mentally. If you've had luck with employers, we'll do our best not to buck the trend.

🏢 Summary: AI Engineer role focused on developing and enhancing ML and GenAI/LLM-based solutions for fraud detection, anomaly detection, and transaction analytics in the banking sector. The position involves building scalable applications, creating and optimizing machine learning models, and analyzing large-scale data sets. Work is primarily remote with periodic onsite collaboration. 🗂️ Requirements: Higher education degree in ComputerScience, Mathematics, Physics or related field, Minimum 3 years of commercial experience in DataScience, Experience in building and evaluating MachineLearning models, Hands-on experience with LLM and GenAI models and Embeddings, Strong programming skills in Python 📃 Skills: Python, MachineLearning, DataScience, LLM, GenAI, Embeddings, Spark, Hadoop, Hive, Azure, FastAPI, Spring, REST, PowerBI, CICD 🏢 Description: AI Engineer (GenAI, LLM) Na potrzeby projektów z obszaru dużych modeli językowych LLM/Gen AI poszukujemy osób na stanowisko AI Engineer. Obecnie nasz klient - lider innowacyjnych rozwiązań bankowych pracuje nad autorskim systemem do detekcji fraudów, detekcji anomalii oraz analityki w transakcjach klientów. Lokalizacja: Praca zdalna + praca zespołowa z biura w Warszawie (2x w miesiącu) Główne zadania Rozwój aplikacji, które dotykają milionów klientów każdego dnia Pisanie kodu z dbałością o każdy szczegół Tworzenie nowych modeli ML lub rozwój już istniejących Rozwiązywanie problemów, z którymi nie radzą sobie inne zespoły Analiza TB danych w celu poprawy jakości rozwiązań - oferujemy dużą przestrzeń do pracy kreatywnej Oczekiwania Wykształcenie wyższe na kierunku informatyka, fizyka, matematyka, lub pokrewnym (warunek konieczny) Min. 3 lata doświadczenia komercyjnego w zakresie tworzenia rozwiązań Data Science Wiedza z zakresu tworzenia modeli uczenia maszynowego oraz ich ewaluacji Doświadczenie z dużymi modelami językowymi (LLM), embedingami oraz modelami GenAI Doświadczenie w programowaniu z wykorzystaniem Python Ciągła chęć rozwoju, odpowiedzialność, kreatywność oraz pomysłowość Biegła znajomość j. polskiego, dobra znajomość j. angielskiego Mile widziane: doświadczenie przy pisaniu aplikacji RESTowych (np. Spring albo FastAPI) Doświadczenie w pracy z narzędziami Big Data: Spark, Hadoop, Hive etc. doświadczenie w pracy w chmurze Azure doświadczenie w pracy z PowerBi doświadczenie w pracy z narzędziami CI/CD Oferujemy Stałe wsparcie osobistego agenta , dbającego o Twoją ciągłość projektową, kontakt z klientem, niezbędne formalności, komfort pracy oraz rozwój Stabilny projekt i długofalową współpracę w oparciu o umowę o pracę Rozwój zawodowy nie tylko podczas projektu – możesz zaangażować się w przekazywanie wiedzy innym w ramach oferty 7N Services kierowanej do klientów 7N Dostęp do 7N Learning & Development – platformy rozwojowo-edukacyjnej z webinarami, biblioteką artykułów i raportów branżowych oraz zaproszeniami na wydarzenia rozwojowe – techniczne, biznesowe oraz life-stylowe Udział w wybranych eventach organizowanych przez klienta (wyjazdy integracyjne, spotkania świąteczne) oraz 7N (eventy sportowe) Relacje i dostęp do wiedzy najbardziej doświadczonych ekspertów IT na rynku Narzędzia niezbędne do świadczenia usług Pracę hybrydową z przewagą pracy zdalnej z dowolnego miejsca w Polsce (90%) Spotkanie zespołowe w biurze klienta w Warszawie raz na 2 tygodnie Pakiet benefitów zaplanowany od A do Z, czyli dofinansowanie do opieki medycznej, ubezpieczenia na życie, karty sportowej dla Ciebie i Twoich bliskich, a także zniżki do sklepów w Polsce i za granicą.

🏢 Summary: Contract GenAI Python Developer role focused on building enterprise AI-powered applications, designing agentic AI architectures, and integrating large language models into scalable backend systems. The position involves implementing GenAI workflows, API integrations, and asynchronous data pipelines in a hybrid setup in Wroclaw. 🗂️ Requirements: 5+ years of Python development experience, Hands-on experience building AI or GenAI systems, Experience with agentic AI architectures, Experience integrating external APIs, Experience handling asynchronous and streaming data, Proficiency with Git workflows, Basic knowledge of relational databases and SQL, Ability to work hybrid in Wroclaw (minimum 2 days onsite) 📃 Skills: Python, GenAI, LLM, APIs, Async, Streaming, Git, SQL, LangChain, LangGraph, VectorDB, Embeddings, Azure, DevOps, CICD, Agents, Orchestration 🏢 Description: We are looking for a GenAI Python Developer to join a team building AI-powered solutions within enterprise environments. The role focuses on developing intelligent AI systems, integrating APIs, and implementing modern GenAI workflows using Python. You will work on designing and implementing agentic AI architectures , integrating large language models, and building scalable backend systems that power AI-driven applications. Send CV to ( marcillina.tietjen@dcvtechnologies.co.uk ) if you are interested. Location Wroclaw, Poland – Hybrid (minimum 2 days onsite) Employment Type Contract / B2B Key Responsibilities Develop AI-driven applications using Python Design and implement GenAI workflows and AI agents Integrate external APIs and AI services Work with asynchronous and streaming data pipelines Collaborate with engineering teams in Agile/Scrum environments Implement AI orchestration and workflow management Maintain high-quality code using Git workflows Support data integration and backend services using SQL databases Required Skills 5+ years Python development experience Hands-on experience building AI / GenAI systems Experience with agentic AI architectures (autonomous agents, planning, tool usage, memory) Experience calling APIs and handling async/streaming data Good understanding of Git workflows (branches, PRs, merge conflict resolution) Basic understanding of relational databases and SQL Strong collaboration and communication skills Ability to work hybrid in Wroclaw (2 days onsite) Nice to Have Experience with LangChain, LangGraph or similar AI frameworks Experience with vector databases and embeddings Knowledge of prompt engineering Familiarity with Azure DevOps pipelines (CI/CD) Experience working with multi-agent systems Experience with memory management in LLM architectures

🏢 Summary: Lead AI Software Developer role focused on architecting and scaling AI-powered applications, backend systems, and multi-agent workflows across cloud and enterprise environments. The position involves designing secure integrations, optimizing LLM-based solutions, and leading technical delivery and best practices. It combines hands-on AI development with backend architecture and technical leadership. 🗂️ Requirements: Degree in Computer Science, AI, Data Science or related field, 8+ years of software engineering experience, 5+ years of Python backend development in production, Experience building and scaling Python applications, Hands-on experience with AI Agents, RAG and MCP, Experience with AWS or Azure cloud platforms, Experience with storage systems and databases, Knowledge of containerization and Kubernetes, Experience with API integrations and enterprise system connectivity, Leadership and mentoring experience 📃 Skills: Python, AWS, Azure, Kubernetes, RAG, MCP, APIs, Cloud, Databases, Containerization, AI, LLM 🏢 Description: We are seeking an experienced Lead AI Software Developer to design and scale AI-powered applications and integrations. In this role, you will architect backend systems, lead AI agent development, and ensure secure, scalable integration across cloud platforms and enterprise systems. Key Responsibilities Design and maintain middleware, APIs, and connectors integrating AI agents with enterprise systems Architect scalable backend services and cloud-based solutions (AWS/Azure) Develop and optimize multi-agent workflows and adaptive decision logic Fine-tune prompts and LLM-based solutions for domain-specific use cases Lead code reviews, mentor developers, and define development best practices Drive complex API integrations with internal and external AI platforms (incl. MCP servers) Remove technical roadblocks and ensure timely delivery Collaborate with AI, Data, and Platform teams to optimize automation architectures Maintain technical documentation and promote continuous improvement Requirements Degree in Computer Science, AI, Data Science, or similar field 8+ years of software engineering experience, including 5+ years of Python backend development (production) Strong experience building and scaling Python applications Hands-on experience with AI technologies (AI Agents, RAG, MCP) Experience with cloud platforms (AWS or Azure), storage, databases, and AI services Knowledge of containerization and Kubernetes Experience with API integrations and enterprise system connectivity Strong leadership and mentoring experience Excellent communication skills; fluent in Polish and English (min. B2); German is a plus Willingness to travel internationally (~10%) Nice to have: Experience with LangChain, LangGraph, multi-agent systems, prompt engineering, and LLM fine-tuning. What We Offer Work in a global and innovative technology environment Direct impact on enterprise AI and automation solutions Professional development and access to training programs Hybrid work model with flexible hours (central Wroclaw office) Competitive benefits package, cafeteria system, CSR initiatives, and employee clubs

🏢 Summary: The offer is for a Tech Lead Python Developer with GenAI expertise to design and implement modern, high-performance AI-driven applications and architectures. The role focuses on LLM-based solutions, agentic AI patterns, RAG systems, and scalable cloud deployments. It also includes technical leadership, documentation, deployments, and supporting junior developers. 🗂️ Requirements: Degree in Computer Science or related field, Minimum 2 years experience in similar role, Advanced Python experience (3+ years), Advanced SQL experience, Experience with AWS, Azure or GCP, Experience with SQL and NoSQL databases, Deep understanding of LLMs (transformers, embeddings, tokenization, APIs), Experience with prompt engineering and orchestration tools, Experience with agentic AI design patterns, Experience with RAG systems improvement or evaluation, Strong Python software engineering practices, Experience with code reviews, debugging, testing, version control, Experience with CI/CD pipelines, Experience with containerization and enterprise deployments, Knowledge of logging, monitoring and alerting systems, Understanding of data security, anonymization and masking, Ability to design scalable, resilient, secure systems, Experience with API design and microservices architectures, Knowledge of IAM, RBAC, secrets management and network security, Experience developing web applications and large-scale data systems 📃 Skills: Python, SQL, AWS, Azure, GCP, NoSQL, LLM, Transformers, Embeddings, Tokenization, LangChain, LangGraph, SemanticKernel, CrewAI, RAG, CI/CD, GitHub, AzureDevOps, Docker, Kubernetes, API, Microservices, Serverless, Containers, IAM, RBAC, VPC, Firewalls 🏢 Description: As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Tech Lead Python Developer with GenAI Responsibilities: Design and implement modern applications Contribute to high-performance solution architecture Create clear, maintainable project documentation Participate in software deployments and collaborate with users to resolve issues Present solutions and their implementations to clients Approach solution creation creatively within the project cycle Support junior developers in the team Requirements: Degree in computer science or a related field Approximately 2 years of experience in similar roles Advanced Python and SQL experience (3+ years) Familiar with AWS, Azure, GCP cloud platforms Experience with SQL/NoSQL databases Deep understanding of LLMs: transformers, embeddings, tokenization, and API integrations Proficiency in prompt engineering and orchestration tools (e.g. LangChain, LangGraph, Semantic Kernel, Crew AI) Expertise in agentic AI design patterns Experience in improving and/or evaluating RAG systems Familiarity with emerging AI trends and standards Strong Python software engineering skills with coding standards and best practices Experience with code reviews, debugging, testing, and version control Familiar with CI/CD pipelines and automation tools (GitHub, Azure DevOps, Docker, Kubernetes) Experience containerizing AI solutions and deploying across enterprise environments Ability to integrate logging, monitoring, and alerting systems Strong understanding of security of data applications, experience with anonymization and data masking Strong problem solving using systems thinking and first principles Ability to design scalable, resilient, and secure end-to-end systems Expertise in API design, event-driven architectures, microservices, serverless, and containers Familiarity with enterprise integration patterns (messaging, publish, event sourcing) Knowledge of IAM, RBAC, secrets management, and network security (VPCs, firewalls) Experience in developing web applications and systems processing large data sets Offer: Private medical care Co-financing for the sports card Training & learning opportunities Constant support of dedicated consultant Employee referral program

🏢 Summary: Lead Python AI Engineer role focused on building and leading the development of a GenAI agent that leverages past RFP/RFI data to automate and accelerate responses. The position involves designing agentic AI solutions with LangChain/LangGraph, implementing RAG pipelines, and deploying scalable GenAI workloads on AWS. The engineer will guide the team technically while ensuring reliability, compliance, and production readiness of AI services. 🗂️ Requirements: 5+ years Python development experience, Recent experience with LLM or GenAI projects, At least 1 year leadership experience, Hands-on experience with LangChain or LangGraph, Experience designing agentic AI systems, Experience building RAG pipelines, Expertise in AWS for GenAI workloads, Knowledge of vector databases and embeddings, Experience with prompt engineering, Proficiency with Docker, Experience with Git-based CI/CD, Experience with automated testing, Upper-Intermediate (B2) English proficiency 📃 Skills: Python, LangChain, LangGraph, AWS, LLM, GenAI, RAG, Docker, Git, CI/CD, VectorDB, Embeddings, Prompting, Serverless, Containers 🏢 Description: We are looking for a Lead Python AI Engineer who has hands-on experience with agentic AI frameworks (LangChain, LangGraph, etc.) and knows how to run GenAI workloads on AWS. You will join the team building a GenAI agent that learns from past RFP/RFI responses and helps teams answer new requests faster. Responsibilities Build Python services that power the GenAI agent using LangChain, LangGraph, or similar libraries Create retrieval-augmented generation (RAG) flows that pull the right context and streamline LLM responses Run the solution on AWS using containers, serverless functions, or managed AI services Instrument logging, monitoring, and guardrails to keep the agent reliable and safe Ensure the ingestion and use of RFP/RFI data follows healthcare data policies Collaborate with product, data science, and business teams to make sure the agent solves real problems Document code, APIs, and deployment steps so others can maintain and extend the solution Work within an Agile team and contribute to planning, demos, and retros Lead and technically guide the team Requirements 5+ years of Python development experience, with a recent focus on LLM or GenAI projects At least 1 year of relevant leadership experience Hands-on experience with LangChain, LangGraph, or comparable agent frameworks Expertise in Amazon Web Services for running GenAI workloads Understanding of agentic design patterns and how to wire tools, planners, and memory together Knowledge of vector databases, embeddings, and prompt engineering Proficiency in Docker, Git-based CI/CD, and automated testing Skills in leveraging AI-assisted development tools (e.g., Cursor, GitHub Copilot, Code Interpreter) to accelerate prototyping and code reviews Solid communication skills and the ability to work with technical and non-technical stakeholders English language proficiency at an Upper-Intermediate level (B2) or higher Nice to have Familiarity with healthcare payer workflows, especially RFP/RFI processes Experience integrating with CRMs/workflow tools like Salesforce or ServiceNow Exposure to responsible AI, human-in-the-loop review, or safety tooling AWS or Python certifications We offer/Benefits We gather like-minded people: Engineering community of industry professionals Friendly team and enjoyable working environment Flexible schedule 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: Outstanding career roadmap Leadership development, career advising, soft skills, and well-being programs Certification (GCP, Azure, AWS) Unlimited access to LinkedIn Learning, Get Abstract, Cloud Guru English classes We cover it all: Stable income (Employment Contract or B2B) Participation in the Employee Stock Purchase Plan Benefits package (health insurance, multisport, shopping vouchers) Strategically located offices featuring entertainment and relaxation zones, table tennis and football, free snacks, fantastic coffee, and more Referral bonuses Corporate, social and well-being events Please, note: The set of bonuses might vary based on the role you apply for – specifics will be discussed with our recruiter during the general interview. We will reach out to selected candidates exclusively. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

🏢 Summary: Remote B2B opportunity for a Python Developer with GenAI experience to work on a long-term project focused on building and integrating AI systems, including agentic architectures and autonomous agents. The role involves developing AI-driven solutions, integrating APIs, and working with async or streaming data in a modern development environment. 🗂️ Requirements: Minimum 3 years of Python development experience or proven fast learning with demonstrable results, Hands-on experience with AI systems and agentic AI architectures, Experience with API integration and async or streaming data processing, Proficient in Git including branches, pull requests, and merge conflict resolution, Basic knowledge of relational databases and SQL, Ability to work from Poland and attend office at least two days per week 📃 Skills: Python, GenAI, AI, APIs, AsyncIO, Git, SQL, Postgres, LangChain, LangGraph, AzureDevOps, CI/CD, VectorDB, Embeddings, PromptEngineering, Scrum 🏢 Description: We are looking for a Python Developer with GenAI on behalf of our client, a well-known and fast-growing technology company offering a stable, long-term project in a modern environment. 📍Remote from Poland B2B contract Required Key Skills GEN AI Engineer 3 years of Python development (or less if the person learns fast and can show results) Hands-on experience working with AI systems, preferably with agentic AI architectures (e.g., autonomous agents, tool use, memory, planning) Experience with calling APIs and working with async or streaming data Good knowledge of Git (branches, pull requests, fixing merge conflicts) Basic understanding of relational databases and SQL (Postgres is a bonus, but not required) Good communication and teamwork skills, able to be in the office at least two days per week Must Have 3 years of Python development (or less if the person learns fast and can show results) Hands-on experience working with AI systems , preferably with agentic AI architectures (e.g., autonomous agents, tool use, memory, planning) Experience with calling APIs and working with async or streaming data Good knowledge of Git (branches, pull requests, fixing merge conflicts) Basic understanding of relational databases and SQL (Postgres is a bonus, but not required) Good communication and teamwork skills, able to be in the office at least two days per week Good to Have Experience with LangChain, LangGraph, or similar frameworks for building AI workflows Familiarity with Azure DevOps pipelines (CICD) Knowledge of vector databases, embeddings, or prompt engineering Experience working in a Scrum team Exposure to multi-agent systems, memory management in LLMs, or advanced orchestration techniques 📩 If you’re interested and meet the qualifications, please send your CV to Alina Pchelnikova at alina.pchelnikova@dcvtechnologies.co.uk

🏢 Summary: Lead the adoption, integration, and governance of Generative AI technologies across the engineering organization to enhance developer productivity and internal platforms. Drive experimentation, define best practices, and scale GenAI tools and integrations within engineering workflows. Collaborate cross-functionally to ensure secure, compliant, and effective use of AI solutions. 🗂️ Requirements: 5+ years in software engineering, developer tooling, or platform teams, Hands-on experience with LLMs or Generative AI tools in production, Experience integrating GenAI platforms and APIs, Strong knowledge of cloud platforms, Proficiency in Python or Go, Experience with APIs and system integrations, Ability to define AI governance and usage policies, Knowledge of AI security and compliance considerations 📃 Skills: Python, Go, AWS, APIs, OpenAI, Anthropic, Bedrock, CoPilot, Kubernetes, CI/CD, LLMs, GenAI, RAG, VectorDB, Prompting 🏢 Description: Movate is a part of a global information and communication technology company. We strongly believe that our People are the reason for our success. Discover the concept of 'SMALLPORATION' and join our team! "We don’t just offer jobs, we provide careers." So, if you are eager to thrive with us, take a look at the offer below! About the Role: We are seeking a visionary and pragmatic GenAI Enablement Lead to spearhead the adoption, integration, and governance of Generative AI (GenAI) technologies across our engineering organization. This role is instrumental in unlocking developer productivity, enhancing internal tooling, and embedding AI capabilities into our internal development platform and engineering workflows. As the GenAI Enablement Lead, you will collaborate with engineering, security, product, legal, and compliance teams to drive impactful GenAI use cases. You will lead experimentation efforts, define best practices, evangelize and scale successful solutions organization-wide. Key Responsibilities ● Develop and execute a strategy to drive GenAI enablement across the engineering organization by leading a cross-functional community focused on experimentation, knowledge sharing, and adoption of Generative AI tools and practices. ● Identify and prioritize use cases that drive measurable improvements in productivity, quality, and developer experience. ● Define the roadmap for GenAI tools, integrations, and internal accelerators. ● Evaluate and pilot GenAI tools, models, and APIs (e.g., OpenAI, Anthropic, AWS Bedrock, etc.). ● Build and maintain prototypes, plugins, and integrations with internal platforms (e.g., CI/CD pipelines, IDEs, generation of documentation and tests, code reviews, bug fixing). ● Design and run training, workshops, and documentation to empower engineers to use GenAI responsibly and effectively. ● Champion safe and compliant GenAI usage, including prompt engineering patterns, model selection, and usage guidelines. ● Collect feedback and metrics to iterate on tools and practices. ● Define and promote GenAI usage policies in collaboration with security, legal, and compliance teams. ● Establish governance models for data privacy, model usage, and ethical AI practices. ● Stay abreast of GenAI trends and assess emerging technologies for potential adoption. ● Represent the company in external forums, communities, or conferences on AI enablement topics. Required Skills and Experience: Required Skills and Experience: ● Excellent communication skills and the ability to translate complex AI concepts to engineering and business stakeholders. Demonstrated ability to drive cross-functional initiatives and influence without direct authority. ● 5+ years of experience in software engineering, developer tooling, or platform teams. ● Hands-on experience with LLMs or GenAI tools in a production or enterprise setting. ● Strong technical foundation in APIs, cloud platforms (e.g., AWS), and programming languages (Python, Go, etc.). ● Experience integrating with GenAI platforms (e.g., OpenAI, CoPilot). Desirable ● Familiarity with Kubernetes, CI/CD, developer portals, and internal platform tools. ● Knowledge of security and compliance considerations around AI (e.g., data leakage, model risk). ● Experience with prompt engineering, vector databases, and RAG (retrieval-augmented generation) systems. ● Prior experience in a developer enablement, DevEx, or productivity engineering role. Additional Benefits: Contribution towards sports activities Private medical care Life insurance No dress code Additional leave entitlement Matches your DNA? Do not hesitate and apply!