Product Engineering Lead / Architect Agentic AI Platform!

MaxisAI | Full time | India

MaxisAI is building an agentic AI platform for clinical and life sciences. We're looking for a hands-on Engineering Lead who will own the full engineering lifecycle, from architecture and coding to CI/CD, quality, and compliance.

This is a player-coach role: about 60% hands-on architecture and coding, 40% team leadership. You'll write agent code yourself, debug agents in production from their traces, and turn prototypes into production-grade, GxP-compliant services.

What you'll do
Architect and build multi-agent systems on AWS Bedrock (Agents, AgentCore, Knowledge Bases, Guardrails) using LangChain, LangGraph, and LangSmith
Build RAG pipelines, tool/function calling, agent memory, and human-in-the-loop workflows
Design microservices with domain-driven design, API gateways, and event-driven patterns (SQS, SNS, EventBridge, Kafka)
Deploy on AWS (EKS/ECS, Lambda, Step Functions) with Terraform or CDK
Run model selection and evals across Claude, Llama, and Titan; optimise cost and latency
Establish LLMOps: prompt versioning, eval frameworks, hallucination controls, and eval-gated deployments




Drive an AI-native development lifecycle using Claude Code, Cursor, and GitHub Copilot
Ensure AI outputs are traceable, auditable, and explainable for GxP use, including validation artefacts (IQ/OQ/PQ, traceability matrices)
Lead, mentor, and grow a team of frontend, backend, and platform engineers
Own the technical roadmap, capacity planning, and delivery commitments with Product

What we're looking for
910 years in software engineering, including 4+ years in an engineering lead role
23 years of hands-on agentic AI experience (mandatory)
Has personally architected and shipped production agentic or multi-agent systems
Production experience with LangChain, LangGraph, LangSmith, and AWS Bedrock
Robust microservices and distributed, event-driven systems experience
Hands-on in Python, Node.js, React, and cloud-native architecture on AWS
Experience with GxP validation or FDA-regulated systems

Nice to have
Pharma, Life Sciences, CRO, Site Network, or Healthcare background
AWS Solutions Architect Skilled or Machine Learning Specialty certification
Experience with Strands Agents, MCP, and vector databases (pgvector, OpenSearch)

📌 Product Engineering Lead Agentic Ai Hyderabad
🏢 Maxis Clinical Sciences
📍 Hyderabad