Related skills
langchain langgraph openai vector databases agent frameworks📋 Description
- Build and ship full-stack features across the product.
- Understand systems, data models, and business logic.
- Identify automation opportunities as you learn the platform.
- Design and build AI agents and automated workflows.
- Integrate LLMs into product workflows reliably.
- Evaluate and improve AI systems based on performance.
🎯 Requirements
- 5+ years of full-stack dev with end-to-end ownership.
- 1–2 years AI engineering experience with LLM systems.
- Experience with LangChain/LangGraph/AWS Bedrock.
- Familiarity with LLM APIs (OpenAI/Anthropic), vector DBs, RAG.
- Strong software fundamentals: design, testing, debugging, clean code.
- Clear communicator across product and engineering teams.
🎁 Benefits
- Equity in the company.
- Health insurance options.
- Daily meal stipend.
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