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 and data sources.
• Leverage LangGraph to construct, visualize, and manage complex conversational flows.
• 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 components.
• Develop automated tests and monitor system performance to refine integration points.

Required Skills

• 5+ years of proven experience with fullstack Python development (FastAPI, Flask, Django).
• Hands-on experience building and integrating AI agents (LLMs, RAG, multi-agent systems) in production.
• Familiarity with the LangGraph framework and agent orchestration patterns.
• Deep understanding of context engineering, including retrieval-augmented generation and prompt design.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker).
• Proficiency with relational and non-relational databases (SQL/NoSQL).
• Experience with frontend frameworks (React or Angular).

Key Skills

Education

Any Graduate