We're building agentic AI systems that solve real problems. You'll own the design and implementation of AI agents that collaborate seamlessly with our front-end and back-end infrastructure, using modern frameworks like LangChain to orchestrate complex workflows.
What you'll do
- Build agentic AI systems using LangChain and evaluate emerging frameworks to improve agent capabilities
- Collaborate with front-end engineers to integrate AI agents into user-facing features
- Work with back-end teams to ensure agents access and process data correctly through APIs and services
- Design agent architectures grounded in transformer model fundamentals
- Implement reasoning loops, memory management, and tool-use patterns for multi-step tasks
- Debug and optimize agent behavior in production environments
What we're looking for
- Strong Python proficiency—you ship production code confidently
- Deep familiarity with LangChain or equivalent agentic AI frameworks
- Working knowledge of transformer architecture and how modern LLMs reason
- Proven ability to learn and adopt new frameworks quickly as the agentic AI landscape evolves
- Comfortable collaborating across front-end and back-end teams to ship integrated features
- Familiarity with vector databases or retrieval systems
Nice to have
- Experience with prompt engineering and agent evaluation metho
How we'll know it's working
- Your first agentic AI system ships to production and handles real user workflows
- Front-end and back-end teams are shipping features that depend on your agent infrastructure
- You've evaluated and integrated a new AI framework into our stack