Xcelore
AI Conversational & Voice Engineer
Skills
3 months ago
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Important information
Contract type:
Permanent
Location:
Noida, Uttar Pradesh, India
Work mode:
Onsite
Published on:
7 August 2026
What they need
Job Summary
AI Conversational Voice Engineer (25 Years Experience)
Experience: 25 years | Location: Noida Sector-142
The Role
Were looking for a mid-level AI Engineer to build and improve the intelligence layer of our AI agents from conversation design and reasoning to voice quality and knowledge retrieval. Youll work closely with product and engineering to create amazing agent experiences.
Responsibilities
- Design and build LLM-driven conversation flows for AI agents, including prompt engineering, tool-use logic, and multi-turn context handling
- Build and maintain retrieval systems (RAG) so agents can pull accurate, relevant information from a knowledge base
- Integrate AI agents with external tools and services to let them take real actions (bookings, lookups, updates, etc.)
- Improve voice AI quality natural-sounding speech, correct pacing/prosody, and smooth voice interaction flows
- Diagnose and fix issues in production agent behavior: hallucinations, broken logic, latency, and conversational dead-ends
- Instrument and analyze agent performance and iterate based on data
- Collaborate with product to translate specs into working, reliable systems
- Write clear technical documentation for tickets, architecture decisions, and runbooks
Must-Have Skills
- 25 years of experience building production software, with at least 2+ years working directly with LLMs/GenAI systems
- Strong Python (or Node.js) skills; comfortable owning a service end-to-end
- Hands-on experience with LLM APIs prompt design, function/tool calling, context management
Strongly Preferred
- Experience with voice AI text-to-speech/speech-to-text pipelines, audio quality tuning
- Experience with async/event-driven architectures (queues, webhooks, background jobs)
- Familiarity with agile, ticket-driven workflows (Jira or similar)
Nice-to-Have
- Exposure to analytics or personalization systems
- E-commerce or D2C domain exposure
- Prior experience where you owned a feature from spec to production solo
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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