Senior AI Engineer - Agentic AI and Voice Agents
YAL.ai (company site, opens in a new tab)HyderabadOn-siteDirect career pageEst. 30–50 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Build and lead development of agentic AI systems (LLM agents) that perform multi-step business tasks via voice, chat, and back-office integrations with real-time streaming speech recognition and synthesis.
- Own the technical architecture, evaluation system, and reliability of AI agents to ensure business task success, client trust, and efficient operations under live traffic conditions.
- Lead and mentor a team of AI engineers, manage delivery milestones, handle incident response, and collaborate with product and client stakeholders for production-grade deployments.
Minimum Requirements
- Strong Python backend development skills including APIs, asyncio, WebSockets, structured error handling, and automated testing.
- Hands-on experience shipping LLM agents beyond demos, including tool calling, state management, RAG, and robust failure handling within real workflows.
- Working knowledge of real-time voice technology stacks (streaming ASR, TTS, voice activity and turn detection) with latency and accuracy trade-offs.
- Bachelor's degree in a technical field or equivalent practical experience.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in designing and operating reliable, observable LLM agent workflows that reliably complete business tasks with measurable performance and cost goals.
- Skilled in technical leadership including architecture ownership, mentoring engineers, evaluation design, regression tracking, and ensuring production readiness.
- Familiar with complex integrations involving telephony/WebRTC, CRM/ticketing systems, asynchronous backend services, and operational incident handling.