AI Engineer – Voice AI / Autonomous Agents

5-10 Years

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Job Description

Build and own the full voice bot pipeline including ASR, NLU, dialog management, tool calling, and TTS.
Architect systems using MCP to connect ASR, memory, APIs, and LLMs in real-time.
Implement RAG to ground responses using data from knowledge bases, inventory, and FAQs.
Design scalable vector search systems for memory embedding and FAQ handling.
Engineer low-latency ASR and TTS pipelines, optimizing for natural turn-taking.
Apply fine-tuning, LoRA, and instruction tuning to reduce hallucinations and align model tone.
Build observability systems and QA pipelines to monitor calls and analyze model behavior.
Collaborate with cross-functional teams to scale the voice bot to thousands of users.
Design modular, observable, and resilient AI systems.
Implement retrieval pipelines, function calls, and prompt chaining across workflows.
Expertly chunk, embed, and retrieve documents in RAG systems.
Debug latency issues and optimize for low round-trip time.
Trace hallucinations to root causes and fix via guardrails or tool access.
Build prototypes using open-source or hosted tools with speed and flexibility.
5+ years in AI/ML or voice/NLP with real-time experience.
Deep knowledge of LLM orchestration, vector search, and prompt engineering.
Experience with ASR (Whisper, Deepgram), TTS (ElevenLabs, Coqui), and OpenAI models.
Skilled in latency optimization and real-time audio pipelines.
Hands-on with Python, FastAPI, vector DBs, and cloud platforms.