Product Engineering Lead - Agentic AI

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
• Strong 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 Professional or Machine Learning Specialty certification
• Experience with Strands Agents, MCP, and vector databases (pgvector, OpenSearch)