Overview: We are building a network of LLM Engineers who can design, build, and integrate practical AI features into existing products. This is a freelance opportunity based in Poznan, Poland, with remote-only work and options for part-time or full-time engagement, depending on project needs.

What we’re looking for: - Strong software engineering background in Python, Node.js, or Ruby - Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar) - Ability to design pragmatic AI solutions within existing architectures - Experience building RAG pipelines, embeddings, and vector search - Understanding of cost, latency, and reliability constraints of AI systems - Ability to work independently with clients and set realistic expectations - Background in big data or data pipelines is a big plus - English level: B2/C1 - Availability part-time or full-time (B2B contract)

What you’ll do: - Add AI functionality into existing Python, Node.js, and Ruby codebases - Build LLM-powered features: chat, summaries, classification, smart search, document Q&A - Design lightweight RAG pipelines using embeddings and vector search - Work with vector databases (pgvector, Pinecone, Qdrant) - Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure) - Work directly with clients to shape AI features and reduce manual effort - Advise clients when NOT to use AI and navigate trade-offs around latency, accuracy, and cost

Overview: We are building a network of LLM Engineers who can design, build, and integrate practical AI features into existing products. This is a freelance opportunity based in Poznan, Poland, with remote-only work and options for part-time or full-time engagement, depending on project needs.

What we’re looking for: - Strong software engineering background in Python, Node.js, or Ruby - Hands-on experience integrating LLM APIs into production systems (OpenAI, Anthropic, or similar) - Ability to design pragmatic AI solutions within existing architectures - Experience building RAG pipelines, embeddings, and vector search - Understanding of cost, latency, and reliability constraints of AI systems - Ability to work independently with clients and set realistic expectations - Background in big data or data pipelines is a big plus - English level: B2/C1 - Availability part-time or full-time (B2B contract)

What you’ll do: - Add AI functionality into existing Python, Node.js, and Ruby codebases - Build LLM-powered features: chat, summaries, classification, smart search, document Q&A - Design lightweight RAG pipelines using embeddings and vector search - Work with vector databases (pgvector, Pinecone, Qdrant) - Implement safe, reliable LLM endpoints (OpenAI, Anthropic, Azure) - Work directly with clients to shape AI features and reduce manual effort - Advise clients when NOT to use AI and navigate trade-offs around latency, accuracy, and cost