AI / Full Stack Engineer (TypeScript/Node.js, React)

Webellian is a well-established Digital Transformation and IT consulting company committed to creating a positive impact for clients in insurance, banking, healthcare, retail, and manufacturing sectors. It is a community of engineers and senior advisors who collaborate with clients to accelerate and realize their vision and strategy.

AI/ML:

• Hands-on experience with LLM deployment and serving (cloud APIs and/or self-hosted solutions)
• Experience building RAG systems (embeddings, vector stores, retrieval strategies)
• Understanding of prompt engineering and agent/tool-use patterns
• Ability to evaluate model performance and make informed trade-off decisions

Full Stack:

• 5+ years in full-stack development with TypeScript, Node.js, Nest.js
• Frontend experience with React
• Relational databases (PostgreSQL or similar), Redis
• Docker, basic CI/CD

Soft skills:

• Self-driven, able to take ownership of projects end-to-end
• Strong problem-solving skills
• English B2+ (C1 preferred)
• Excellent communication - able to translate technical concepts for non-technical stakeholders

Nice to have:

• Experience with model fine-tuning (LoRA, QLoRA)
• MLOps practices (experiment tracking, model versioning)
• Familiarity with agent frameworks (LangChain, Vercel AI SDK, or similar)
• Experience with GPU infrastructure and model optimization (quantization, inference tuning)
• AWS or other cloud provider (working knowledge)

• Designing and developing full-stack applications with AI capabilities
• Deploying, configuring, and optimizing large language models (LLMs) using cloud APIs and self-hosted solutions
• Building and maintaining RAG pipelines, vector search, and knowledge retrieval systems
• Integrating AI systems with external services and APIs
• Evaluating and selecting appropriate models and tools for specific use cases
• Writing clean, maintainable code with tests and documentation
• Proposing technical improvements and architectural decisions
• Supporting and mentoring less experienced team members