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Credgenics is seeking a Forward Deployed Engineer to serve as a technical builder and primary owner for enterprise Voice AI platform deployments. This is not a support role but a hands-on builder position where you will own outcomes end-to-end.
You will lead client engagements from day one, serving as the primary technical owner for new enterprise clients through initial onboarding and full deployment. You will conduct deep discovery to uncover real business workflows, data constraints, and operational edge cases, then convert ambiguous requirements into clear, scoped Voice AI solutions ready for production.
You will architect and build Voice AI agents tailored to each client, including dialogue design, prompt engineering, and fallback handling. You will set up and configure language models, voice profiles, speech recognition, and third-party integrations. You will run rapid iterations driven by live call data, outcome metrics, and direct user feedback.
A key responsibility is taking new use cases from kickoff to live deployment in days rather than weeks. You will monitor agent performance in production, identify failure patterns, and continuously improve outcomes. You will drive account expansion by demonstrating measurable ROI at each stage of the client journey.
You will be the face of Credgenics with customers, leading client calls, technical walkthroughs, and live demonstrations with confidence. You will communicate AI capabilities, system behavior, and trade-offs clearly to both technical and business stakeholders, building long-term client trust through responsiveness, ownership, and consistent delivery.
You will also feed insights back into the product, spotting recurring patterns across deployments and surfacing them as product improvement opportunities. You will collaborate with Engineering and Product teams to help decide what gets built into the platform versus what stays custom, and contribute to improving deployment tooling, monitoring, and repeatability based on real-world usage.
REQUIREMENTS:
- 2–5 years of experience in technical deployment, AI implementation, solutions engineering, or similar hands-on role
- Builder mindset with ability to own outcomes fully, from problem identification to production delivery
- Comfortable thriving in ambiguity and making sharp decisions with limited context and tight timelines
- Skilled at designing, testing, and refining AI conversations that work in the real world (AI prompting depth)
- Client-facing maturity: able to lead enterprise calls, set expectations, and navigate complex stakeholder dynamics
- Technical range including fluency in APIs, system integrations, voice infrastructure, and debugging production failures
- Capable of executing under pressure and running multiple concurrent deployments without dropping quality or speed
