Senior Software Engineer
JLL (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and own AI-agent-powered automation replacing manual business workflows, including discovering, deploying, evaluating, and iterating solutions end-to-end.
- Develop a new agent harness platform on Claude, AWS Step Functions, and Amazon Bedrock AgentCore, delivering production workflows for enterprise customers with minimal supervision.
- Integrate front-end AG-UI interfaces and backend services to support AI-powered workflows, ensuring operational observability, guardrails, and evaluation mechanisms.
Minimum Requirements
- Proven hands-on AI engineering experience with shipped production projects involving LLM agents, skill building, or RAG pipelines; specific years not defined but depth of AI delivery required.
- Direct experience working with enterprise customers to design, deploy, and scale AI workflows, ideally with Claude Code/Cowork and AWS Bedrock AgentCore/ Step Functions.
- Strong expertise in harness engineering, state machine orchestration (AWS Step Functions with ASL), and backend development with Python 3.10+ and FastAPI or equivalent.
- On-site work location in Bengaluru, KA. Work Experience Required: Proven experience in software engineering with hands-on AI engineering shipped to production.
Ideal Candidate Profile
- Deep technical skills in agent harness design, AWS services, and AI workflow orchestration with strong understanding of policy/rule-based workflow control alongside LLM interaction.
- Experience operating at the intersection of AI engineering and enterprise customer engagement, able to gather requirements and deliver end-to-end AI-driven workflow automation.
- Familiarity with deploying production AI systems involving multiple agents, prompt engineering, and complex backend/frontend integration in a client-facing or consulting environment.