Founding Applied AI Engineer

Location: Palo Alto / San Francisco (5 days a week in-office)

🚀 About Echelon AI

We’re automating the $1T IT services industry by building digital labor that autonomously builds, tests, and deploys enterprise software.

The difference: While most AI companies sell productivity tools, we’re selling actual digital workers. Our RL-driven, self-correcting agents don’t just assist developers — they own full delivery cycles across ServiceNow, SAP, and other enterprise platforms. This isn’t incremental SaaS; it’s workforce transformation through autonomous AI.

Our founding team built Moveworks (sold for $3B to ServiceNow). We’re in production with Fortune 500s and seeing explosive demand.

You’ll architect the brain behind digital labor — where reasoning meets reliability.

🧠 The Role

Part researcher, part engineer. You design the loops that make agents think, adapt, and self-correct. You turn LLMs into autonomous systems that plan, build, and validate real enterprise changes — safely and repeatably.

The challenge: Static models can describe what to do; they can’t yet own delivery. You’ll push agents + RL beyond toy coding tasks into the regulated, high-stakes world of enterprise IT.

⚙️ What You’ll Do

Build autonomous agent systems:

• Architect agents that read enterprise documentation, plan implementations, call APIs, and promote tested changes.
• Design hierarchical planners and multi-agent coordination (planner ⇄ executor ⇄ verifier) with shared scratchpads and guardrails.
• Operationalize LLM + RL research into production systems that deliver measurable impact.

Engineer learning & reliability:

• Design RL / preference optimization loops that optimize business outcomes, not token loss.
• Build evaluation suites simulating real customer change requests, compliance checks, and regression risks.
• Implement sandboxing, deterministic replays, and rollback strategies for safety and auditability.

Bridge research and production: