About the Job
Key responsibilities:1. Design and build AI-native backend systems (django) that power next-generation agentic workflows using Python and modular service architectures
2. Integrate Large Language Models (LLMs) into real-world applications using frameworks like LangGraph, AutoGen, and other orchestration tools
3. Develop autonomous agents capable of reasoning, tool use, and dynamic task execution across complex multi-step workflows
4. Work on the bleeding edge of AI automation, collaborating with researchers from institutions like Stanford and global AI innovation teams
5. Deploy and scale AI systems on the cloud (primarily AWS), ensuring high performance, security, and real-time responsiveness
6. Translate abstract prompts and product visions into intelligent, working systems — from backend logic to toolchain integration
7. Take ownership from Day 1 — you’ll be trusted to build, break, and improve AI systems that are used in production
Number of Openings
4 openingsPerks of this Jobs
Informal dress code 5 days a week
Skills
Python, Django, Machine Learning, Docker, GitHub, React, REST API, Backend development, Amazon Web Services (AWS), Deep Learning, Artificial intelligence, LangChain, LLMOps
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