1 month ago
Remote, Poland +5 moreSenior
Responsibilities
- Integrate AI functionality into existing Python, Node.js, and Ruby codebases.
- Build LLM-powered features including chat, summaries, classification, smart search, and document Q&A.
- Design lightweight RAG pipelines using embeddings and vector search.
- Work with pgvector, Pinecone, and Qdrant vector databases.
- Implement safe and reliable LLM endpoints using OpenAI, Anthropic, and Azure.
- Work directly with clients to shape AI features and reduce manual effort.
- Advise clients on AI adoption and trade-offs involving latency, accuracy, and cost.
Requirements
- Strong software engineering background with Python, Node.js, or Ruby.
- Hands-on experience integrating LLM APIs into production systems, including OpenAI, Anthropic, or similar services.
- Ability to design pragmatic AI solutions within existing architectures.
- Experience building RAG pipelines, embeddings, and vector search.
- Understanding of cost, latency, and reliability constraints in AI systems.
- Ability to work independently with clients and set realistic expectations.
- Background in big data or data pipelines is preferred.
- English proficiency at B2/C1 level.
- Availability for part-time or full-time freelance work under a B2B contract.
Benefits
- Remote work from Wrocław, Poland.
- Part-time or full-time freelance engagement depending on project needs.
- B2B contract arrangement.
Categories
