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Senior Software Engineer - AI Engineering
Bengaluru
Role Summary
Embeds with client teams, understands manual business workflows, and builds AI-agent-powered automation to replace them. Helps build a new agent harness platform from the ground up — to be built on Claude (Claude Code /
Cowork), AWS Step Functions (ASL) and Amazon Bedrock AgentCore, with an AG-UI front end — and then delivers production workflows on it. Owns the solution end-to-end — discovery, build, deploy, evaluate, iterate — working
directly with enterprise customers with minimal direction.
TECHNICAL REQUIREMENTS
Harness Engineering — Core
• Harness engineering — Excellent understanding of designing agent harnesses: the control loop, tool and skill surface,
context and state management, and human-in-the-loop checkpoints around an LLM
• AWS Step Functions with ASL — Author Amazon States Language state machines to orchestrate agent steps,
branching, retries, parallelism and human-approval gates (e.g. task-token waits); invoke AgentCore runtimes and Lambda
from workflows
• Deterministic vs LLM control — Design workflows where policy gates and rules decide routing and the LLM only
proposes, with explicit exception, timeout and loop-guard paths
• Amazon Bedrock AgentCore — Host, operate and scale agent workloads on AgentCore Runtime; understand lifecycle,
scaling and invocation patterns, and expose tools via AgentCore Gateway
• AgentCore Observab
📌 Senior Software Engineer (Bengaluru)
🏢 JLL
📍 Bengaluru