Description

You will design, develop, and maintain end-to-end Python applications that interface with AI agents and backend services.

This role is on-site.

Responsibilities

• Implement and orchestrate autonomous and semi-autonomous AI agents, connecting them to APIs, data sources, and user interfaces.
• Use LangGraph to construct, visualize, and manage complex conversational flows and agent interactions.
• Architect systems for dynamic context management, memory, and prompt engineering to optimize agent behavior.
• Integrate machine learning models, vector databases, and third-party services across application components.
• Develop automated tests and monitor system performance to refine integration points.

Required Skills

• 5+ years of fullstack Python development using FastAPI, Flask, or Django.
• Proven experience building and integrating AI agents (LLMs, RAG, multi-agent systems) in production.
• Hands-on familiarity with the LangGraph framework and agent orchestration patterns.
• Deep understanding of context engineering, prompt design, and session management.
• Experience with SQL and NoSQL databases.
• Proficiency with Docker and CI/CD pipelines.
• Experience utilizing cloud platforms (AWS, GCP, Azure).
• Experience with frontend frameworks such as Angular or React.

Key Skills

Education

Bachelor's degree