Fullstack Gen AI Developer (Sourcing Requisition)

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 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 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 (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, such as chat and co-creation tools.
• Experience building end-to-end prototypes or AI SaaS products from concept to production.

Benefits

• Yearly financial bonus.
• Private medical care with Medicover; additional packages, including dental, senior care, and oncology, are available on preferential terms.
• Life insurance and access to the NAIS benefit platform.
• Career development programs, including leadership development.
• Access to over 70 training tracks and certification opportunities, including GenAI, Excel, Business Analysis, and Project Management.
• Free access to Education First, Pluralsight, TED Talks, Coursera, and Udemy Business learning materials and training.
• Hybrid working model after onboarding, with a home office package including a laptop, monitor, and chair.