This role requires a robust software engineering foundation combined with hands-on experience building production-grade AI solutions.

- Design and develop Agentic AI solutions using modern AI frameworks.

- Build multi-step AI workflows and autonomous agents capable of planning, reasoning, tool usage, and decision-making.

- Integrate LLMs such as OpenAI, Azure OpenAI, Anthropic Claude, Gemini, or open-source models.

- Develop AI orchestration workflows using frameworks like LangGraph, LangChain or similar platforms.

- Implement memory management, conversation management, and agent collaboration patterns.

- Create AI systems that interact with APIs, databases, enterprise systems, and external tools.

- Build scalable backend services using Python.

- Design and implement REST APIs and microservices.

- Develop asynchronous and high-performance services.

- Create integration services connecting AI models with enterprise applications.

- Ensure production readiness including logging, monitoring, observability, and security.

- Deploy AI solutions on Azure, AWS

📌 Python ML Engineer (Bengaluru)
🏢 UST
📍 Bengaluru