About the role

While you’re reading this, developers and enterprises across India are wiring Gnani’s speech APIs into their products running ASR over noisy phone lines and generating TTS in a dozen Indian languages, in real time and at scale. You’re the person who makes that integration actually work: the first responder when accuracy dips, the engineer who turns a prospect’s “can it handle our audio?” into a working benchmark, and the technical voice the developer community hears back from.

As an AI Solutions Engineer on our Speech API team, you sit between our ASR/TTS platform and the people building on it. You own the customer’s technical journey end-to-end onboarding, accuracy validation, debugging, custom pipelines, and production quality and you feed what you learn in the field straight back to the teams building the models. This is a hands-on, customer-facing engineering role for someone early in their career who is technically sharp, obsessed with the customer, and communicates like a professional.

Core mandate

What you’ll drive

Customer onboarding & support

• Own technical onboarding for prospects and customers API integration, authentication, streaming vs. batch, sample code, and first-call success

• Be the first responder on ASR/TTS issues triage, reproduce, root-cause, and resolve integration and accuracy problems

• Run accuracy checks with customers set up test sets, interpret WER/CER for ASR and naturalness/MOS for TTS, and explain what the numbers actually mean

• Hand-hold prospects through evaluation so they can reach a confident buying decision

Solutions & custom engineering

• Design and build custom speech solutions for enterprise clients ASR/TTS configuration, custom vocabulary and pronunciation, and end-to-end pipelines

• Translate ambiguous customer requirements into concrete, working technical solutions and reference implementations

• Build demos, POCs, and sample integrations that show the platform at its best

• Partner with the ASR/TTS research and platform teams to shape features around real customer needs

Benchmarking & quality

• Run structured benchmarks internal and customer-supplied across languages, accents, domains, and audio channels

• Design fair, honest evaluations: representative test sets, apples-to-apples comparison, and no overfitting to a single benchmark

• Perform periodic spot-checks on production quality and flag regressions before customers do

• Turn recurring field failures into clear, reproducible reports the model teams can act on

Developer experience & community

• Be the technical, front-facing voice for the developer community docs, forums, sample code, and integration guides

• Gather developer feedback and channel it into the product roadmap

• Represent Gnani’s speech APIs in developer conversations and make the integration experience genuinely good to build on

Who you are

EXPERIENCE WE’RE LOOKING FOR

• 2–3 years building speech / ML products, integrating APIs, or in a customer-facing technical role (solutions, support, or field engineering)

• Hands-on experience in at least one of: building an ASR, TTS, or speech-related product; handling technical customers; or building custom solutions and integrations

• A track record of owning technical problems end-to-end and seeing them through to a working outcome

• Strong work ethic, high ownership, and comfort in a fast-moving environment

• Customer-obsessed, with clear and professional written and verbal communication

WHAT MAKES A STANDOUT CANDIDATE

• Hands-on with speech APIs streaming and batch ASR, TTS, and real-time audio integration

• Comfortable reading and writing integration code Python plus at least one of REST / gRPC / WebSocket clients

• Familiarity with speech evaluation WER / CER for ASR, naturalness / MOS for TTS, latency and RTF and what they mean for a customer

• Understanding of audio fundamentals sample rates, encodings, codecs, and telephony / contact-centre audio

• Exposure to the Indian voice landscape multilingual, code-switched, and accented speech

• Experience writing developer-facing docs, guides, or sample code

TECHNICAL FLUENCY GOOD TO HAVE

• Python for scripting demos, POCs, evaluation harnesses, and debugging

• API integration patterns auth, streaming, retries, batching, and error handling

• Basic deployment literacy cloud and on-prem, containers, and how a speech service runs in production

• Familiarity with speech tooling and audio libraries, and the ability to pick up new ones fast

• Judgment on benchmark design good test sets and fair comparison across languages, accents, domains, and channels