Software Engineer
Software Engineer with Applied AI experience owning the design, build, and deployment of RAG and agentic workflows powered by LLMs — from early prototype to production-grade AI agents. Built multi-tenant RAG platforms (hybrid dense + BM25 retrieval with Reciprocal Rank Fusion) and multi-agent systems that plan and execute multi-step tasks across tools, APIs, and data sources. Deep familiarity with the LLM stack: frontier models (Claude, OpenAI), vector databases (Pinecone), and orchestration frameworks (LangChain, LangGraph). Writes clean, testable, observable Python and integrates LLMs with enterprise data via well-designed APIs, with observability and evaluation through Langfuse. Comfortable working directly with clients to translate ambiguous business problems into reliable, shipped solutions. Open to relocation.