Forward Deployed Engineer

Fluency•San Francisco, CA

1d•$180,000 - $250,000•Onsite

About The Position

Fluency is seeking a full-time Forward Deployed Engineer to join their team. This role involves working directly within customer organizations to implement automations, agents, and workflows based on insights from Fluency's work ontology platform. The platform maps how work is done across an organization, identifying processes with automation potential. The engineer will use this platform to understand work, build automations and agents in the customer's environment, validate workflows, and ensure successful implementation. This is an in-person role based in San Francisco, requiring English fluency and involving up to 25% global travel.

Requirements

Strong full-stack or backend engineering skills, production-quality code in Python and/or TypeScript/Node
Hands-on experience building and shipping AI agents, workflow automations, or process integrations in real environments
Comfortable scoping and delivering work when requirements are incomplete and the environment is unfamiliar
Ability to work across a wide variety of enterprise tools and systems without needing a pre-paved path
Clear communication. You will regularly translate between technical constraints, delivery tradeoffs, and implementation risks for customer teams.
Based in San Francisco. Willing to travel up to 25% globally.
English fluency is required.

Nice To Haves

Experience with RPA, process mining, or enterprise automation tooling
Familiarity with LLM orchestration frameworks and agent design patterns
Background in consulting, solutions engineering, or a forward-deployed professional services capacity
Experience with process improvement, operations, or business transformation
Experience deploying on AWS Lambda, ECS, or similar infrastructure
Ability to read and work within unfamiliar codebases quickly

Responsibilities

Deploy inside customer environments and own transformation delivery end to end.
Build automations, agents, and workflows based on processes discovered by Fluency's work ontology platform.
Feed Fluency's ontology, process, and work definitions into agents so they handle real edge cases and boundary conditions in production.
Work with customer engineering teams to integrate automations into existing systems, or build and own them independently.
Work through incomplete requirements across customer teams, governance constraints, implementation details, and production rollout.
Measure outcomes using Fluency's ROI and productivity tooling to show before-and-after impact.
Report back to product on how the platform performs in real customer environments.
Contribute to the core product and use what you learn in customer environments to inform product decisions.