Fullstack Gen AI Developer

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MidHybryda·WarszawaFull-time·Umowa o pracę

#472545·Dodano 2 dni temu·1

Źródło: justjoin.it

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Tech Stack / Keywords

Next.js React Node.js Flask fastapi TypeScript JavaScript Python Generative AI

Podsumowanie oferty

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

Wymagania

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 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, and 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; German or Polish are a plus, and 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 such as chat and co-creation tools.
Experience building end-to-end prototypes or AI SaaS products from concept to production.

Obowiązki

Your tasks:

Design, build, and deploy fullstack Generative AI applications, integrating advanced LLMs, image, and multimodal models into scalable products.
Develop and maintain 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 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.
Experiment with new models, frameworks, and architectures.

Benefity

Yearly financial bonus.
Private medical care with Medicover, with additional packages such as dental, senior care, and oncology available on preferential terms.
Life insurance.
Access to the NAIS benefit platform.
Development programs to support career development.
Access to over 70 training tracks with certification opportunities on the NEXT platform.
Free access to the Education First languages platform, Pluralsight, TED Talks, Coursera, and Udemy Business materials and trainings.
Home office package including a laptop, monitor, and chair.

Premie

Opieka zdrowotna

Ubezpieczenie

Szkolenia wewnętrzne

Kursy językowe

Capgemini

780 aktywnych ofert

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