Forward Deployed AI Engineer

Overview

Forward Deployed AI Engineer at JLL, a one-person engineering role that builds and ships AI agents and MCP integrations for an assigned business area, in partnership with business SMEs and operators.

What you'll do

• Build and ship agents for the business, in close partnership with business SMEs and operators.
• Stand up MCP servers and connectors: pre-production first, then through CDR into production.
• Bootstrap skills, integrations, and evals on top of JLL's AI platform (LLM gateway, shared RAG services, MCP toolchain).
• Run workshops with business teams, teach them to use Claude Code, and translate their workflows into agent skills.
• Hand mature systems off to platform and operations teams once they outgrow the bootstrap phase.
• Feed patterns, anti-patterns, and platform gaps back into the Center of Excellence so the next FDE moves faster.

What you'll need

• Shipped production agents using Claude Agent SDK, MCP, or an equivalent stack.
• Production code in at least one of Python, Node, or .NET, with comfort moving across the others.
• Worked with diverse data stores: relational, NoSQL, object/blob, vector, and document.
• Operated end-to-end as a one-person team: design, ship, support, hand off.
• Strong written and verbal communication; comfortable in the room with non-engineers.
• Pragmatic judgment on when to ship, when to harden, and when to hand off.
• Systems thinking with a focus on failure modes; AI writes most of the code, you own it.
• Comfort with tasking and ability to run multiple agents in parallel as part of daily workflow.

Details

• Location: On-site, Bengaluru, KA.
• Full-time, scheduled 40 weekly hours.
• Expected to operate with AI tools as a primary part of the workflow.