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Forward Deployed Engineer
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AI Fund
DevRev
Braviant Holdings
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About the Role
We are hiring Forward Deployed Engineers to configure, deploy, and evolve our agents for enterprise customers. This role sits at the intersection of product, engineering, and customer delivery — you will translate business requirements into robust configurations, ensure each deployment reflects client needs, and iterate rapidly to maintain high performance and system stability.
You will be a primary technical partner to our customers, guiding them through configuration decisions, troubleshooting complex behaviors, and shaping how they design and operationalize AI-driven screening. You will also act as a critical feedback conduit between the field and the product team, surfacing patterns that should be platformized and validating new capabilities with real-world customers.
This is a highly technical and hands-on role. As deployments accelerate across industries and geographies, you will help define the standards, tools, and best practices that make our agents scalable.
What you will do:
- Build and adapt screening flows based on customer jobs and requirements
- Configure state prompts, tone parameters, voice selection, transitions, and conditional logic
- Set up and maintain custom vocabularies for ASR when relevant
- Prepare and run demos; support pilot implementations from start to finish
- Analyze conversation transcripts and identify sources of errors or drift
- Run isolated state tests for targeted debugging
- Iterate rapidly on prompts and configurations to improve performance
- Use SQL to investigate behavioral patterns, identify systemic issues, and validate improvements
Preferred experience:
- Hands-on work with conversational AI, LLM prompting, applied ML models, or workflow-based configuration
- Ability to debug state logic, model outputs, and configuration inconsistencies
- SQL proficiency for analytics and performance investigation
- Comfort with light scripting and structured configuration formats
- Prior client-facing technical experience, ideally supporting enterprise implementations
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