Role Description
*UST Title – Lead I - Software Engineering*
Summary
We are looking for a highly experienced Software Engineer to implement scalable systems that power next-generation Agentic AI applications. In this role, you will bridge the gap between robust distributed architecture and cutting-edge generative AI. You will move beyond simple API wrappers to build production-ready multi-agent systems, RAG pipelines, and intelligent automation workflows.
This is a hands-on technical role ideal for a seasoned engineer who has good grip of Python backend development and has successfully pivoted into the Agentic AI space.
Key Responsibilities
System Architecture: Design and build systems using Python (FastAPI/Django) that support real-time AI processing and high concurrency.
AI Orchestration: Familiarity with AI development platforms, LLMOps, AI observability, RAG Implementation, LLM APIs to improve model accuracy and context.
Infrastructure & DevOps: Manage containerized deployments -Preferably Docker and Kubernetes . Ensure CI/CD pipelines are robust and scalable.
Database Design: Optimize data storage strategies using PostgreSQL and MongoDB, ensuring data integrity for both transactional records and vector embeddings.
Integration: Implement Model Context Protocol (MCP) adaptors and integrate various third-party APIs (e.g., Google ADK) into a unified backend ecosystem.
Required Skills & Qualifications
Experience
: 5 + years of qualified software engineering experience with a focus on developement.
Core Languages
: Expert-level proficiency in Python.
Frameworks
: Deep experience with FastAPI (or) Django for building RESTful APIs.
AI & GenAI Stack
Proven experience building Agentic AI systems (not just chatbots).
Hands-on expertise with LangChain, LangGraph, and CrewAI.
Experience integrating OpenAI APIs and solid understanding of RAG architectures and vector search.
Understanding AI security best practices, including secure API authentication and auth
📌 Python Developer with Gen AI (Bengaluru)
🏢 UST
📍 Bengaluru
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