Takes AI prototypes into production and customizes/integrates agents and models for clients — hands-on vibe coding and real-world AI deployment.
About the Role
Embed with client teams as a Forward Deployed Engineer to take AI systems from prototype into production by customizing and integrating agents, models, and software into client data and workflows. Own deployment, rollout, adoption, and handover while translating business problems into technical solutions.
Job Description
Role
Embed with client teams to take AI systems the last mile: integrate prototypes into real production workflows, adapt models and agents to client data and constraints, and own deployment, rollout, adoption, and handover.
Key Responsibilities
- Embed with client teams and move AI systems from prototype to production workflows.
- Customize and integrate agents, models, and product into each client’s stack and data environment.
- Own deployment, rollout, adoption, and a clean handover to client teams.
- Translate business problems into technical scope and communicate technical reality to decision-makers.
Requirements
- Strong full-stack engineering experience, specifically with Python or TypeScript.
- Proven track record of shipping and integrating software inside others’ environments.
- Customer-facing maturity: ability to work directly with client engineers and executives.
- Ability to move quickly in unfamiliar codebases and exercise sound judgment under ambiguity.
- Clear written communication skills for global, asynchronous collaboration.
Tech Stack
Python