Forward Deployed AI Engineer
JLL (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Own and deliver AI agents and MCP integrations for a specific business area as an end-to-end one-person engineering team.
- Bootstrap skills, integrations, and evaluations on JLL's AI platform, including LLM gateway and shared RAG services, with responsibility for handoff to platform and operations after stabilization.
- Run workshops with business teams to translate workflows into agent skills and feed platform improvements back to the AI Center of Excellence.
Minimum Requirements
- Experience shipping production AI agents using Claude Agent SDK, MCP, or equivalent technology stack.
- Proficiency in production coding in at least one of Python, Node.js, or .NET, and ability to work across others.
- Experience working with diverse data stores: relational, NoSQL, object/blob storage, vector, and document databases.
- Work Experience Required: Not explicitly mentioned in the JD; Location: On-site in Bengaluru, Karnataka.
Ideal Candidate Profile
- Comfortable operating independently as a full-stack engineer owning design, shipping, support, and system handoff phases in an AI-driven environment.
- Skilled at integrating AI tools as core workflow components with strong systems thinking around failure modes and production stability.
- Effective communicator able to engage non-engineers and pragmatically prioritize shipping, hardening, and handing off solutions within fast-paced business contexts.