Job at a glance
Responsibilities Build and improve AI agent capabilities using modern LLMs Develop backend services and APIs in Python Design and iterate on prompts, workflows, RAG, and agent orchestration Evaluate model performance and continuously improve quality through experimentation Collaborate with product and engineering teams to deliver AI-powered features Deploy and maintain scalable AI systems in production Stay current with the latest AI models, tools, and best practices Requirements Strong Python software engineering skills Experience building applications with LLMs and AI APIs Familiarity with agent frameworks such as LangChain, LangGraph, or LlamaIndex Experience building APIs with FastAPI or similar frameworks Experience with cloud platforms (AWS, GCP, or Azure) Strong problem-solving skills and an experimental mindset Excellent communication and collaboration skills Preferred Qualifications Experience shipping AI products or AI agents to production Familiarity with RAG, tool calling, model evaluation, or prompt engineering Contributions to open-source AI projects or personal AI applications Experience working in fast-paced, AI-first environments Benefits Equity compensation Performance-based bonuses Up to 100% reimbursement for health-insurance premiums Paid time off 401(K) plan with a company match