Forward Deployed Engineer - II

About The Team
Want to be the engineer who turns our Voice AI platform from a product into a production-grade solution inside a client's business? Then joining us as a Forward Deployed Engineer might be the perfect fit for you!
When enterprises trust our voicebot AI to handle thousands of live customer conversations daily, onboarding them right and keeping things running smoothly isn't optional — it's mission-critical. Our FDE team is the technical backbone of every client relationship, responsible for taking clients from signed contract to successful production deployment and beyond.
We operate with a strong ownership mindset. Our team moves fast, communicates clearly, and treats every client deployment like a product launch. We work closely with Product, Infra, Biz and Platform Engineering to ensure what we learn in the field shapes how we build.
As a Forward Deployed Engineer, you'll work alongside a sharp, client-obsessed team who thrive on solving real-world problems at the intersection of Voice AI and enterprise operations.
We know how to party as hard as we work! When we’re not solving customer problems, you can find us discussing the latest tech trends, sharing our favorite books and games, or simply unwinding over a hot cup of chai.
If you want a role where no two days look the same and your work directly impacts how businesses talk to their customers, come join us!
About The Role
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 customisations, resolve production issues, and ensure ongoing success- acting 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.
What You Will Do
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
What You Will Need
Bachelor's degree in Computer Science, Engineering, or a related field
2-5 years of experience in software engineering or 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, 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

Work arrangement
No