Job Description
📋 Description Design and deploy production AI agents using LLMs, retrieval, and tools. Architect systems combining LLMs, ML, structured knowledge, and data. Build intelligence layers, retrieval, memory, and knowledge representations. Develop multi-agent systems coordinating reasoning, planning, and tooling. Translate frontier AI research into production systems via models and prompts. Own the full experimentation lifecycle from hypothesis to rollout. 🎯 Requirements 5+ years of software engineering, ML, or applied AI experience. Strong Python programming skills. Experience building production AI systems using LLMs. Experience with OpenAI, Claude, MCP, agent frameworks, vector databases, or retrieval systems. Strong understanding of ML fundamentals and modern language models. Experience designing or evaluating AI systems using quantitative metrics. 🎁 Benefits Comprehensive health, dental, and vision coverage Retirement benefits Learning and development stipend Generous PTO Commuter stipend
