AI Solutions Engineer

gnani.ai; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Gnani.ai is seeking an AI Solutions Engineer for its Speech API team in Bengaluru. You will bridge the ASR/TTS platform and developers, owning the customer journey from onboarding to production-quality benchmarks.

The role is hands-on and customer-facing, ideal for someone early in their career who is technically sharp and focused on customer success. Responsibilities include designing custom speech pipelines, running benchmarks, and turning field feedback into product improvements, while

Job description

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

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

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
• 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

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.