🏢 Summary: The role involves designing, building, and deploying fullstack Generative AI applications that integrate advanced LLMs and multimodal models into scalable products. You will develop frontend and backend systems, implement AI-driven workflows such as RAG pipelines, and integrate foundation model APIs into production-ready solutions. The position focuses on delivering secure, scalable AI-powered web applications using modern cloud and MLOps practices. 🗂️ Requirements: Minimum 2 years of experience in frontend and backend software development, Strong programming skills in Python, Strong programming skills in JavaScript or TypeScript, Experience with FastAPI, Flask, Node.js, React or Next.js, Hands-on experience building AI-powered web applications, Knowledge of LLMs, prompt engineering and fine-tuning, Experience implementing RAG pipelines, Experience integrating GenAI APIs, Experience with vector databases, Familiarity with AWS, Azure or GCP, Experience with CI/CD pipelines, Understanding of embeddings and model-serving infrastructure, Professional proficiency in English 📃 Skills: Python, JavaScript, TypeScript, FastAPI, Flask, Node.js, React, Next.js, LLM, RAG, FAISS, Pinecone, Weaviate, OpenAI, Anthropic, HuggingFace, Stability, AWS, Azure, GCP, CI/CD, LangChain, LangGraph 🏢 Description: At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR TASKS Design, build, and deploy fullstack Generative AI applications, integrating advanced LLMs, image, and multimodal models into scalable products. Develop and maintain both frontend interfaces (React, Next.js, etc.) and backend systems (Python, Node.js, or similar) that power GenAI features. Implement AI-driven workflows — including prompt orchestration, RAG pipelines, and real-time model interactions. Integrate foundation models and APIs (OpenAI, Anthropic, Hugging Face, Stability, etc.) into robust backend services and interactive user experiences. Collaborate closely with data scientists and product teams to translate business requirements into AI-enabled digital experiences. Ensure system scalability, performance, and security, leveraging cloud infrastructure and MLOps best practices. Stay at the forefront of GenAI innovations, experimenting with new models, frameworks, and architectures. YOUR PROFILE Passion for Generative AI and fullstack development, with hands-on experience delivering AI-powered web applications. 2+ years of experience in software development, covering both frontend and backend environments. Strong programming skills in Python and JavaScript/TypeScript, with experience in frameworks like FastAPI, Flask, Node.js, React, Next.js. Working knowledge of LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Experience connecting to GenAI APIs and managing vector databases (FAISS, Pinecone, Weaviate, etc.). Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines for deploying AI-driven applications. Understanding of data pipelines, embeddings, and model-serving infrastructure. Strong communication skills in English (German or Polish are a plus), and the ability to collaborate in cross-functional, international teams. Nice to have: Experience with LangChain / LangGraph , OpenAI Function Calling , or custom agent frameworks . Familiarity with Vercel AI SDK , Next.js Server Actions, or other GenAI-focused web stacks. Background in UX for AI applications , multimodal systems, or real-time AI interfaces (e.g., chat, co-creation tools). Experience building end-to-end prototypes or AI SaaS products from concept to production. WHAT YOU’LL LOVE ABOUT WORKING HERE Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. Award-winning development programs to support your career at every stage. Connected Manager - our leadership development program has already helped over 300 employees accelerate their growth! Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

🏢 Summary: The role focuses on designing, building, and deploying fullstack Generative AI applications that integrate advanced LLMs and multimodal models into scalable products. It involves developing AI-driven web solutions, implementing RAG pipelines, and integrating foundation model APIs into secure, cloud-based environments. The position combines frontend and backend development with cutting-edge GenAI technologies to deliver production-ready AI-powered applications. 🗂️ Requirements: Minimum 2 years of experience in software development (frontend and backend), Strong programming skills in Python, Strong programming skills in JavaScript or TypeScript, Experience with frontend frameworks such as React or Next.js, Experience with backend frameworks such as FastAPI, Flask, or Node.js, Working knowledge of LLMs and prompt engineering, Experience with retrieval-augmented generation (RAG), Experience integrating GenAI APIs, Experience with vector databases, Familiarity with cloud platforms (AWS, Azure, or GCP), Experience with CI/CD pipelines, Understanding of data pipelines and model-serving infrastructure, Fluent English communication skills 📃 Skills: Python, JavaScript, TypeScript, React, Next.js, FastAPI, Flask, Node.js, LLM, RAG, FAISS, Pinecone, Weaviate, OpenAI, Anthropic, HuggingFace, Stability, AWS, Azure, GCP, CI/CD, LangChain, LangGraph 🏢 Description: At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. YOUR TASKS Design, build, and deploy fullstack Generative AI applications, integrating advanced LLMs, image, and multimodal models into scalable products. Develop and maintain both frontend interfaces (React, Next.js, etc.) and backend systems (Python, Node.js, or similar) that power GenAI features. Implement AI-driven workflows — including prompt orchestration, RAG pipelines, and real-time model interactions. Integrate foundation models and APIs (OpenAI, Anthropic, Hugging Face, Stability, etc.) into robust backend services and interactive user experiences. Collaborate closely with data scientists and product teams to translate business requirements into AI-enabled digital experiences. Ensure system scalability, performance, and security, leveraging cloud infrastructure and MLOps best practices. Stay at the forefront of GenAI innovations, experimenting with new models, frameworks, and architectures. YOUR PROFILE Passion for Generative AI and fullstack development, with hands-on experience delivering AI-powered web applications. 2+ years of experience in software development, covering both frontend and backend environments. Strong programming skills in Python and JavaScript/TypeScript, with experience in frameworks like FastAPI, Flask, Node.js, React, Next.js. Working knowledge of LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG). Experience connecting to GenAI APIs and managing vector databases (FAISS, Pinecone, Weaviate, etc.). Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines for deploying AI-driven applications. Understanding of data pipelines, embeddings, and model-serving infrastructure. Strong communication skills in English (German or Polish are a plus), and the ability to collaborate in cross-functional, international teams. Nice to have: Experience with LangChain / LangGraph , OpenAI Function Calling , or custom agent frameworks . Familiarity with Vercel AI SDK , Next.js Server Actions, or other GenAI-focused web stacks. Background in UX for AI applications , multimodal systems, or real-time AI interfaces (e.g., chat, co-creation tools). Experience building end-to-end prototypes or AI SaaS products from concept to production. WHAT YOU’LL LOVE ABOUT WORKING HERE Practical benefits: yearly financial bonus, private medical care with Medicover with additional packages (e.g., dental, senior care, oncology) available on preferential terms, life insurance and access to NAIS benefit platform. Award-winning development programs to support your career at every stage. Connected Manager - our leadership development program has already helped over 300 employees accelerate their growth! Access to over 70 training tracks with certification opportunities (e.g., GenAI, Excel, Business Analysis, Project Management) on our NEXT platform. Dive into a world of knowledge with free access to Education First languages platform, Pluralsight, TED Talks, Coursera and Udemy Business materials and trainings. Cutting-Edge Technology: Position yourself at the forefront of IT innovation, working with the latest technologies and platforms. Capgemini partners with top global enterprises, including 145 Fortune 500 companies. Enjoy hybrid working model that fits your life - after completing onboarding, connect work from a modern office with ergonomic work from home, thanks to home office package (including laptop, monitor, and chair). Ask your recruiter about the details. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram — @capgeminipl or visit our Facebook profile — Capgemini Polska . You can also find us on YouTube . ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members globally in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

🏢 Summary: Role focused on leading and scaling GenAI adoption across engineering teams by embedding AI tools into real development workflows. The position combines hands-on experimentation, prototyping, and cross-team enablement to improve delivery speed, quality, and developer experience. It involves consulting across projects, building reusable playbooks, and driving measurable impact of AI-powered practices. 🗂️ Requirements: Solid engineering background in Backend (Java or .NET), Frontend, or Architecture, Hands-on experience experimenting with GenAI tools in development workflows, Experience introducing new tools or processes into engineering teams, Ability to prototype lightweight tools, prompts, and workflow improvements, Understanding of SDLC practices across QA, DevOps, Backend, and related areas, Ability to measure engineering performance using DORA or SPACE metrics, Adaptability to client compliance requirements and technical environments 📃 Skills: Java, .NET, GenAI, Copilot, Claude, Cursor, Prompting, DevOps, Backend, Frontend, Architecture, SDLC, QA, DORA, SPACE 🏢 Description: N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact. We’re on a mission to help N-iX engineering teams unlock the power of GenAI in their daily work. To do that, we’re building a team of GenAI Adoption Leaders . This isn’t a role for someone who already “knows it all.” GenAI adoption is still new, and part of your job will be to experiment, learn, and share discoveries . If you’ve already explored tools like Copilot, Claude, Cursor, or played with prompt engineering, you’ll feel right at home. We value curiosity and potential as much as experience. If you’re an engineer with the spark to try, fail fast, and learn – and you want to help others do the same – this is a rare opportunity to grow alongside a pioneering team . Responsibilities: Experiment & embed AI into workflows: Test AI in real coding, then show teams what works. Own a specialization, work as a team: Each adoption leader brings expertise (e.g., QA, backend, DevOps, data, PM/BA), but we cross-collaborate to cover the full SDLC. Hands-on enablement: Lead workshops, live demos, and pairing sessions where engineers learn by doing. Prototype & adapt: Build lightweight tools, prompts, and playbooks that evolve as we learn. Consult across accounts: Every client has its own restrictions and resistance. You’ll help find the right adoption path for each. Measure what matters: Track adoption impact – not just with metrics like DORA/SPACE, but also in human terms: faster feedback loops, fewer repetitive tasks, happier engineers. Contribute to a shared journey: Turn lessons into reusable playbooks and success stories that scale across hundreds of teams. Requirements: Engineering foundation: Solid background in one area or more areas ( Backend: Java or .NET , Frontend, Architecture). Curiosity & experimentation: You’ve already tried GenAI tools – or at least shown initiative in exploring how they could help in your work. Early adopter mindset: Comfortable experimenting and learning in areas where the answers aren’t fully known yet. Change leadership: Experience introducing new tools or processes into teams. Adaptability: Ability to tailor approaches to different client rules, compliance needs, and maturity levels. Bonus: Strong communication skills for winning over skeptics and making adoption feel safe and practical. What success looks like Teams experiment with 2–3 new AI-powered practices within the first 3 months. Clear improvements in delivery speed, quality, and developer experience. Engineers feel empowered (not replaced) and start driving adoption ideas themselves. You and your peers shape a growing library of GenAI playbooks for the entire company. Why join us? Be part of a 6–7 person pioneer team building the playbook for GenAI adoption across client accounts. Specialize, but grow broadly: You’ll own your focus area while collaborating across functions (QA, DevOps, backend, etc.). Gain rare, career-defining experience leading GenAI adoption at scale in an outsourcing context – skills that will define engineering leadership in the next decade. Grow your own skills while helping 1,700 engineers upskill too – it’s a team journey, not a solo mission. We’re not looking for finished experts. We’re looking for explorers, builders, and early adopters who want to shape the future of engineering with GenAI. If that sounds like you – apply now and let’s build it together.

🏢 Summary: Low Code GenAI Developer role focused on designing, fine-tuning, and integrating LLM-based solutions within low-code platforms for biotech use cases. The position involves building agentic systems, RAG pipelines, and chatbots, as well as deploying and optimizing GenAI solutions in enterprise environments. The role requires hands-on experience with cloud infrastructure, MLOps, and enterprise integrations. 🗂️ Requirements: Minimum 2 years of experience in data science or software engineering, Strong experience with Copilot Studio, Strong experience with Power Platform, Deep understanding of LLMs, agents, and foundation models, Experience integrating LLMs into low-code platforms, Experience with vector databases and RAG pipelines, Proficiency in Python, Experience with CI/CD practices, Experience with MLOps and model deployment for LLM systems, Experience with cloud platforms (AWS, GCP, or Azure), Familiarity with SAP and SFDC enterprise systems 📃 Skills: Python, LLM, Agents, RAG, VectorDB, MLOps, AWS, GCP, Azure, SAP, SFDC, PowerPlatform, CopilotStudio, CICD, APIs, Chatbots 🏢 Description: We are looking for a Low Code GenAI Developer to join our project from biotech industry. Responsibilites: Low-code design of GenAI solutions: Design, finetune and evaluate GenAIs solution on proprietary data to meet business needs. Prompt Engineering: Craft, test, and optimize prompts to improve model outputs GenAI Integration: Deploy and integrate LLMs into low-code platforms including agentic solutions, RAG, chatbots, designing APIs, latency/throughput optimization, and monitoring. Research & Experimentation: Stay up-to-date with state-of-the-art LLM architectures and techniques, and evaluate their application for internal use cases. Stakeholder Collaboration: Collaborate with product, data, and engineering teams to translate business problems into LLM-powered solutions and communicate model limitations or trade-offs effectively. Requirements: Minimum 2 years of hands-on data science or software engineering experience We have a strong focus on Copilot Studio and Power Platforms for this role. Deep understanding of with LLMs , agents and foundation models Familiarity with enterprise applications like SAP, SFDC and their AI offerings Proficiency in Python and CI/CD practices Familiarity with vector databases and retrieval-augmented generation (RAG) pipelines Experience with MLOps, cloud infrastructure (AWS/GCP/Azure), and model deployment tools for LLM-based systems. English - min B2 What we offer: Deep understanding of the domain knowledge in the field of molecular biology and biotechnology Exposure and hands on experience in the development of modern cloud data solutions Ability to deliver AI and ML solutions at scale Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains