LLM Engineer Freelancer

The team is seeking a skilled LLM Engineer to join their network on a freelance basis. This role focuses on designing, building, and integrating practical AI features into existing products, emphasizing delivery over ML research. Candidates can work part-time or full-time depending on project needs.

Key Responsibilities:

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

Required Skills & Qualifications:

• Strong software engineering background with expertise 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 significant plus.
• Proficient in English (B2/C1 level).

Experience:

• Minimum of 5-8 years of relevant work experience in software engineering and AI integration.

What we offer:

• Flexible working arrangements as a freelancer.
• Opportunity to work on innovative AI projects.
• Collaboration with a network of professionals in the field.