Junior Applied Forward Deployed Engineer (FDE)

Monte Carlo•San Francisco, CA

8d•$140,000 - $180,000•Remote

About The Position

Monte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. The FDE team at Monte Carlo is a small, rapid-prototyping unit in the field. The team handles customer-specific technical integration requests without constraining the core product roadmap — FDEs prototype solutions, conduct rapid field testing, and relay what they learn back to Engineering and Product. McWayne is currently running three active integrations — Salesforce, PennyMac, and OGE Healthcare — as proof of concept for this model. Engineers hired into this function will expand that motion at scale. This is a field engineering role for someone who can sit across from a customer, understand what they're trying to build, and go write it. You'll prototype integrations and connectors based on real customer requests, conduct rapid field testing in live environments, and relay what you learn back to Engineering so the best solutions make it into the core product. You're the link between what customers need today and what Monte Carlo ships tomorrow.

Requirements

1–3 years in a technical role where you owned deployment or integration work in customer or enterprise environments — implementation engineering, integration engineering, applied engineering, or similar. You've built things that actually ran in production at someone else's company.
Hands-on with Python and SQL. Comfortable working with REST APIs in real environments, not just in tutorials. You know how to debug integrations when they break in the field.
Current on where AI tooling is heading and has applied it in actual work. You're not just familiar with the concepts — you've shipped something with it.
Strong written and verbal communication. You'll document customer needs, brief Engineering regularly, and be the person customers trust to translate technical complexity into something actionable.

Responsibilities

Meet with customers to understand their technical requirements, data environments, and integration gaps — then translate those conversations into working prototypes
Build integrations and connectors tailored to customer data stacks (Snowflake, Databricks, Salesforce, and others) using Python, SQL, and REST APIs
Run rapid field testing in customer environments — ship fast, validate fast, iterate fast
Document what you learn and relay it back to Engineering: what customers are asking for, what worked, what didn't, and why
Work alongside senior FDEs to hand off proven solutions that can scale into the core product
Become a trusted technical contact for your customers — someone they loop in early, not after something breaks