Tech Stack

Description

You will design, build, and ship LLM-powered agents and applications in production, working closely with the Data Science team to turn their strategies into reliable, production-grade agent systems. This is a hands-on builder role focused on writing code and solving real business problems.

Requirements

• 3+ years software engineering experience with strong Python proficiency
• Hands-on experience building LLM-powered applications with Claude, GPT, or Gemini
• Familiarity with agent frameworks like LangChain, LangGraph, or CrewAI
• Experience implementing function calling, tool use, and multi-step agent workflows
• Solid understanding of RAG architectures, embedding models, and vector databases

Responsibilities

• Build agentic applications and workflows using LLM frameworks
• Design tool integrations, function-calling patterns, and orchestration logic
• Implement RAG pipelines including vector store integration and retrieval optimization
• Own full lifecycle of agent systems from prototype through production
• Build evaluation and observability infrastructure for agent quality and cost