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: 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 transparent, 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