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 qualified.

Core mandate:

Customer success & onboarding

Get prospects and customers live on the ASR/TTS APIs fast, and keep them successful

Solutions & custom engineering

Design custom speech pipelines and integrations that fit enterprise needs

Benchmarking & quality

Run customer and internal benchmarks; spot-check production quality on a schedule

Developer advocacy

Be the technical face for the developer community and turn field signal into product feedback

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.

Why Gnani, why now: Gnani.ai is one of the few companies in India doing original speech research at depth — our ASR and TTS are trained on real Indian language data at scale, not adapted from English-first systems. As an AI Solutions Engineer, you are the bridge between that technology and the developers and enterprises building on it: you’ll see your work land in production across banking, healthcare, logistics, and government services, and your field insight will directly shape what we build next.

High ownership, high visibility, and a fast path to deep expertise in one of the most in-demand areas of applied AI.

📌 AI Solutions Engineer (Bengaluru)
🏢 gnani.ai
📍 Bengaluru