Solutions Engineer (Applied AI) (Gurugram)

This role is for one of our clients Company Name: Huvo AI Industry: Technology, Information and Media Seniority level: Associate level Min Experience 0 years Location: Gurgaon JobType: full-time 4,00,000 - 8,00,000 a year Role Overview We are building a production-grade Voice AI platform used by B2B clients in real-world calling workflows. This role is for a hands-on engineer who owns implementation, deployment, and reliability of voice AI solutions. You will work closely with the founder and take ownership of turning the core platform into working, scalable client deployments. This is not a sales, account management, or support role. Requirements What Youll Do Solution Implementation Implement client-specific voice AI workflows (call flows, retries, fallbacks, escalation logic) Configure and manage telephony providers, numbers, schedules, routing, and throttling Integrate CRMs and internal systems via APIs and webhooks Prompt & Flow Engineering Convert prompts and scripts into versioned, testable configurations Add guardrails for intent handling, tool failures, and edge cases Safely deploy and rollback prompt or flow changes QA, Monitoring & Reliability Build automated QA pipelines using call transcripts and metadata Track and improve key metrics (connect rate, completion rate, success rate, cost per call) Set up monitoring, alerts, and basic incident response Platform Feedback Identify recurring client issues and convert them into reusable platform improvements Reduce manual intervention through better tooling and automation Technical Requirements Must-Have Strong backend engineering skills (Python or Node.js) Experience with APIs, webhooks, and async/background jobs Comfortable debugging production systems end-to-end Working knowledge of databases (Postgres or similar) Nice-to-Have Experience with voice systems, STT/TTS, or real-time pipelines Familiarity with telephony platforms (Twilio, Exotel, etc.) Experience with logging, monitoring, and alerting Startup or high-ownership environment experience What This Role Is Not Not an account manager or customer success role Not a sales or pre-sales role Not a prompt-only or research-only role This is a builder + operator engineering role. Compensation Based on experience and ownership Equity available for robust candidates Why Join Work on real, production AI used by paying B2B customers Own systems end-to-end with clear impact High autonomy and direct founder collaboration Opportunity to grow into a senior or lead engineering role Skills Python Artificial Intelligence Large language models Customer Success SaaS Development voice ai fastapi Django We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. .