Founding Engineer

This hands-on founding engineering role offers significant ownership over architecture, technical direction, experimentation, and productionization responsibilities.

• Design and build production-grade LLM and Agentic AI systems from scratch.
• Develop multi-step AI agents capable of tool calling, reasoning, planning, and autonomous task execution.
• Build agent orchestration using LangGraph, LangChain, or equivalent frameworks.
• Implement agent memory, state management, context management, and retrieval systems.
• Build RAG pipelines utilizing embeddings, vector databases, retrieval, ranking, and context optimization.
• Design and maintain LLM evaluation and testing frameworks/harnesses for measuring agent and model performance.
• Work with multiple LLM providers/models such as OpenAI, Anthropic, Gemini, open-source models, etc.
• Build AI feedback loops using production trajectories, evaluations, user feedback, and task outcomes.
• Optimize latency, token usage, inference cost, reliability, and task success rate.
• Develop APIs and backend services using Python / FastAPI / Go / Node.js or equivalent technologies.
• Build production infrastructure leveraging Docker, Kubernetes, cloud platforms, CI/CD, observability, and monitoring tools.
• Collaborate closely with founders and product teams to identify high-impact AI use cases and rapidly prototype solutions.
• Establish engineering best practices for AI reliability, evaluation, observability, safety, and scalability.