Live opening · Posted 17 days ago
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As a Forward-Deployed Engineer in our Voice AI team, you will be the primary technical owner for client deployments on our B2B voicebot platform. You'll work directly with clients to understand their requirements, configure and deploy voicebot solutions, build customizations, resolve production issues, and ensure ongoing successacting as the bridge between our platform's capabilities and the client's business needs. If you're someone who loves owning outcomes end-to-end, this role is built for you.
Responsibilities:
Own end-to-end client onboarding, from requirement gathering and solution design to platform configuration, UAT, and production go-live.
Conduct technical discovery sessions to map client needs.
Design custom conversation flows and integration logic for clients.
Develop POCs and prototypes for development.
Troubleshoot and resolve production issues across the stack.
Build technical solutions to bridge gaps between our platform and client systems.
Stay updated with emerging tech cultures and identify the right opportunities to implement them.
Contribute to improving onboarding frameworks and FDE tooling.
Requirements:
Bachelor's degree in computer science, engineering, or a related field.
2-5 years of experience in software engineering, forward-deployed engineering, or a client-facing technical delivery role in a B2B SaaS or AI product company
Proficiency in Python and/or Go with hands-on experience building and debugging technical systems.
Strong understanding of database systems (e. g., MySQL, PostgreSQL, MongoDB).
Familiarity with cloud platforms (AWS/GCP/Azure) and basic containerization concepts (Docker, Kubernetes).
Working knowledge of Voice AI concepts: ASR, TTS, LLM; or strong willingness to learn rapidly.
Exposure to telephony infrastructure (SIP, VoIP, and CPaaS providers) is a strong plus.
Excellent communication skills: ability to explain a production outage to a CXO and a config change to a developer in the same meeting.
Structured problem-solving approach.
Prior experience with conversational AI platforms, contact center tech, or LLM-based applications is highly preferred.
Experience
2-4 yrs
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