Platform Engineering

Overview

Platform Engineering role focused on building multi-agent frameworks, AI-driven workflows, and secure, scalable infrastructure and deployment pipelines.

What you'll do

• Design and build multi-agent frameworks and multi-step reasoning systems integrated with LLMs.
• Develop MCPs, data sources, and tool/API integrations for AI-driven workflows.
• Implement evaluation frameworks for agent behaviour, hallucination reduction, and safety guardrails.
• Deploy agentic systems on cloud platforms using Docker and Kubernetes.
• Mentor feature engineering teams and define technical roadmaps.
• Drive design and integration patterns aligned with product and business objectives.
• Collaborate with stakeholders on risk, controls, and technology decisions.

What you'll need

• Production-grade programming expertise in Python.
• Hands-on experience with an agent framework such as LangChain, LangGraph, AutoGen, ADK, or CrewAI.
• Experience developing MCPs, data sources, and tool/API integrations.
• Experience with Docker and Kubernetes.
• Ability to use code-assisted tools such as Claude.
• Understanding of security and regulatory compliance requirements.

Nice to have

• Understanding of vector databases.
• Understanding of LLM orchestration patterns.

Details

• Location: Pune, India.