Senior Software Engineering Manager

Overview

Senior Engineering Manager to lead a greenfield build of agentic AI systems, where AI agents plan, use tools and act with minimal human intervention, and to lead a team of 10–15 engineers working on LLMs, orchestration and production infrastructure.

What you'll do

• Lead and grow a team of AI and Forward Deployed Engineers building agent orchestration, tool-use frameworks and evaluation pipelines from zero
• Set technical strategy for agent architecture: planning loops, memory, tool calling, multi-agent coordination and guardrails
• Drive the implementation of an AIDLC (AI-Driven Development Lifecycle) approach, replacing traditional PDLC/SDLC practices across the org
• Own the Observability and Evals strategy for agentic systems, including tracing, monitoring and eval frameworks for non-deterministic, multi-step workflows
• Partner with product managers to translate ambiguous problems into shippable agentic features
• Own reliability and safety practices for autonomous systems (evals, sandboxing, human-in-the-loop checkpoints, rollback strategies)
• Drive hiring, mentorship and career growth for your team
• Balance hands-on technical involvement (architecture reviews, code reviews) with people management
• Report on team velocity, system performance and risk to leadership
• Sketch out engineering estimations

What you'll need

• 12+ years in software engineering
• 5+ years managing engineering teams
• Direct experience building or operating LLM-powered systems (agents, RAG, tool-calling, orchestration frameworks such as LangGraph, AutoGen or custom stacks)
• Proven track record of delivering an AIDLC implementation that successfully replaced PDLC/SDLC within an engineering organisation
• Cloud: AWS, with excellent knowledge of Bedrock AgentCore, Step Functions (ASL) and related agent-hosting/orchestration services
• Strong knowledge of Harness engineering
• Strong experience with Observability and Evals for non-deterministic systems (tracing, eval harnesses, monitoring, drift/regression detection)
• Backend services: experience with Python and FastAPI
• Frontend: working knowledge of React, Tailwind and Solstice (JLL design system)
• Track record of shipping ambiguous, fast-moving products under real constraints
• Excellent communicator who can translate technical tradeoffs for non-technical stakeholders

Nice to have

• Experience in delivering autonomous agent safety/guardrail design

Details

• Location: On-site, Bengaluru, KA
• Scheduled weekly hours: 40