Forward Deployed Engineer, Brainbase Embed
Role Description
About Brainbase
Brainbase is building the primitives for the next 1B agents.
We power internal agents across government, Fortune 500, frontier labs and hyper-growth startups. Enterprises use our configurable primitives such as evals, observability, router, authentication, permissions, sandboxes, harnesses and more to deploy internal agents securely at scale. We support 8+ harness and 50+ models, including sovereign deployments.
About Brainbase Embed
Brainbase Embed is a multi-month outcome-oriented deployment program where we engage with high-value customers by embedding engineers internally to manage their Brainbase deployment from start to finish.
Launches
Take a look at some of our previous launches to get an idea of what we’re working on:
- Brainbase platform: https://brainbaselabs.com/blog/brainbase-is-now-ga
- Universal Managed Agents API: https://brainbaselabs.com/blog/universal-managed-agents
- Universal Agent Protocol (UAP) (open-source): universalagentprotocol.io
About the role
You would be primarily responsible for 1-or-more accounts at a time and see their process from post-sales to deployment and beyond.
About Forward Deployed Engineering
Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.
Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.
Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.
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