Capgemini

Fullstack Gen AI Developer

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SeniorHybryda·WarszawaFull-time

#472681·Dodano 12 dni temu·11

Źródło: nofluffjobs.com

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Tech Stack / Keywords

AIWeb applicationsPython JavaScript TypeScript FastAPI Flask Node.js React Next.js LLMsRAGCloud platformAWS Azure GCP CI/CD PipelinesData pipelinesCommunication skillsLangChain OpenAISDKUXPrototypesSaaS

Podsumowanie oferty

Build and deploy fullstack Generative AI applications, integrating LLMs and multimodal models into scalable products. Develop frontend and backend systems using React, Next.js, Python and Node.js, and implement RAG pipelines and AI-driven workflows.

Wymagania

Hands-on experience delivering AI-powered web applications.
At least 2 years of software development experience across frontend and backend environments.
Strong programming skills in Python, JavaScript, and TypeScript, with experience in frameworks such as FastAPI, Flask, Node.js, React, and Next.js.
Working knowledge of LLMs, prompt engineering, fine-tuning, and retrieval-augmented generation (RAG).
Experience connecting to GenAI APIs and managing vector databases such as FAISS, Pinecone, or Weaviate.
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 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.
Experience building end-to-end prototypes or AI SaaS products from concept to production.
German or Polish language skills.

Obowiązki

Design, build, and deploy fullstack Generative AI applications, integrating LLMs, image, and multimodal models into scalable products.
Develop and maintain frontend interfaces using React and Next.js, and backend systems using Python, Node.js, or similar technologies.
Implement AI-driven workflows, including prompt orchestration, RAG pipelines, and real-time model interactions.
Integrate foundation models and APIs, including OpenAI, Anthropic, Hugging Face, and Stability, into backend services and user experiences.
Collaborate with data scientists and product teams to translate business requirements into AI-enabled digital experiences.
Ensure system scalability, performance, and security using cloud infrastructure and MLOps practices.
Experiment with new models, frameworks, and architectures.

Benefity

Yearly financial bonus.
Private medical care with Medicover, with additional packages available on preferential terms.
Life insurance.
Access to the NAIS benefits platform.
Development programs and in-house training.
Access to more than 70 training tracks with certification opportunities through the NEXT platform.
Free access to the Education First language platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and training.
Home office package including a laptop, monitor, and chair.
Sport subscription.
Free coffee.
Bike parking and free parking.
Mobile phone.

Premie

Opieka zdrowotna

Ubezpieczenie

Dofinansowanie szkoleń

Szkolenia wewnętrzne

Karta sportowa

Napoje w biurze

Parking dla rowerów

Parking dla aut

Telefon

Capgemini

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