AI Engineer – Voice & Agentic Systems

This is a fully remote position, open to applicants in India.

📋 Description

• Create, develop, and manage voice and agent-driven systems for the customers of our clients.

• Construct agentic workflows utilizing LlamaIndex and LangChain, encompassing tool invocation, RAG over policies and loan documents, multi-step reasoning, and safeguards for regulated discussions.

• Design and oversee FastAPI services featuring asynchronous endpoints, WebSockets, webhooks, background tasks, and well-defined API contracts.

• Develop low-latency voice agents leveraging STT, LLM, TTS, voice activity detection, handling of interruptions, and turn-taking mechanisms.

• Integrate and oversee telephony providers and SIP trunks for incoming and outgoing calls, transfers, recordings, DTMF, and media streaming.

• Engineer systems to withstand provider outages, dropped calls, LLM timeouts, incomplete transcripts, retries, and idempotency challenges.

• Create unit, integration, simulated-call, load, and agent-behavior regression tests.

• Measure latency per interaction, call success rates, cost per call, and implement alerts.

• Collaborate directly with FDEs and clients to enhance agents using actual call transcripts.

• Manage agents comprehensively from initial prompt through high-concurrency production calls.

⛳️ Requirements

• Minimum of 2 years of experience deploying LLM agents.

• Production-level experience with LlamaIndex and/or LangChain or LangGraph, including tool utilization, memory management, and RAG.

• Significant experience in building asynchronous Python services using FastAPI, Pydantic, WebSockets, and background workers under real traffic conditions.

• Developed at least one voice agent that manages actual customer calls.

• Practical experience with STT/TTS providers such as Deepgram, ElevenLabs, Azure, or Google, including latency optimization.

• Integrated two or more telephony providers or SIP configurations.

• Comprehensive understanding of audio flow from a phone network to code and back.

• Production-oriented mindset that encompasses concurrency, rate limits, timeouts, retries, and edge cases.

• Proven experience in writing tests for production scenarios.

• Proficient in analyzing logs, call recordings, and traces to troubleshoot call failures.

• Strong written communication skills in English.

• Capable of articulating technical trade-offs to clients.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and training.

• Collaborative and innovative work environment.