We are looking for a hands-on Voice AI Engineer to own the technical delivery of an enterprise voice automation program for an industrial equipment and services business.

You will take the solution from discovery and architecture through agent development, integrations, testing, deployment and ongoing optimisation. The initial focus is inbound calls across service, parts and rental, with approximately 300 calls per day.

This role suits someone who can turn a working demonstration into a reliable production service and work directly with customer teams to make it effective.

What you will build

A connected Voice AI solution that answers calls on existing business numbers, identifies customers and equipment, understands requests and routes conversations to the appropriate workflow.

The solution will capture structured call records, integrate with existing CRM and service-management systems, and transfer urgent or complex calls to people. Customer and equipment information will come from a database refreshed through scheduled data synchronisation.

Your responsibilities

- Own technical delivery: Translate business requirements into architecture, implementation plans, integration specifications and acceptance criteria.
- Build voice agents: Develop reception and specialist agents for service, parts and rental, with shared context and reliable hand-offs.
- Improve conversation quality: Configure speech recognition, voice generation and language models. Optimise latency, interruptions, turn-taking, pronunciation and handling of background noise.
- Implement telephony: Configure inbound routing, existing-number connectivity, concurrent calls, live transfers, after-hours handling and fallback routes.
- Connect business systems: Build APIs, webhooks and middleware for CRM,



service queues and customer databases. Implement scheduled synchronisation, retries and duplicate prevention.
- Capture usable records: Generate accurate summaries and structured fields covering customer details, equipment, reason for calling, urgency, outcomes and relevant sales interest.
- Build safeguards: Implement call-duration and monthly-usage caps, alerts, escalation rules and checks that requests have been successfully logged.
- Test and launch: Develop realistic test scenarios, run integration and load testing, support customer acceptance testing and manage production deployment.
- Operate and improve: Monitor call quality, integration failures, latency and cost per minute. Investigate incidents and refine agent behaviour using transcripts and customer feedback.
- Document the solution: Maintain architecture diagrams, configuration records, deployment procedures and operational runbooks.

What we are looking for

- Strong development skills in Python and/or JavaScript/TypeScript.
- Experience shipping at least one Voice AI or conversational AI solution into production.
- Hands-on understanding of speech-to-text, text-to-speech, language models and tool/function calling.
- Experience with telephony APIs, SIP, call routing and human transfers.
- Strong API integration skills, including authentication, webhooks and asynchronous processing.




- Working knowledge of SQL databases, data synchronisation and cloud deployment.
- Experience with logging, monitoring, error handling and production troubleshooting.
- Ability to implement secure access, protect personal information and manage recordings and transcripts appropriately.
- Confidence working directly with customers, explaining technical trade-offs and taking ownership of delivery.

Helpful additional experience

- Multi-agent orchestration and context management.
- Integration with enterprise CRM, workflow or document-management platforms.
- Retrieval-based knowledge systems and structured information extraction.
- Contact-centre, field-service, equipment rental or industrial service workflows.
- Automated conversation testing and evaluation.

What success looks like

- A stable deployment that meets agreed call-handling and integration targets.
- Clear, natural conversations with appropriate escalation to people.
- Accurate service requests and sales leads reaching the correct systems.
- Reliable controls over usage, cost and failure handling.
- Measurable improvements following testing and customer feedback.

Why join

You will own a live enterprise implementation from the first technical discussion through production operations. You will have direct access to decision-makers and the opportunity to build reusable components for future Voice AI deployments.

How to apply

Share your CV and a brief description of a Voice AI solution you have built. Explain your personal contribution, the integrations involved and one production challenge you solved.

Skills:- AI Agents, API, Python, Voice Over IP (VoIP) and Customer Relationship Management (CRM)

📌 Voice AI Engineer — End-to-End Implementation, CRM Integration (India)
🏢 Evolvworks AI
📍 India