AI Voice Engineer

Gurgaon (Gurugram), Haryāna, India

ClanX

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Overview
Sei is hiring an AI Engineer to build high-scale voice and chat AI agents and improve core ML systems for enterprise use.

Company Details
Sei is an AI-powered regulatory compliance platform backed by Y Combinator, Tribe Capital, PayPal, and more. We serve enterprises across the US, Europe, and APAC. Founded by industry experts from PayPal, Amazon, and TransferWise, we’re growing rapidly and focused on building a robust and scalable AI-first platform.

Requirements

  • 3+ years of experience in AI/ML engineering

  • Strong experience with LLMs and speech technologies

  • Hands-on experience building chat/voice agents and related ML models

  • Experience with VAD, turn detection, interrupt handling

  • Exposure to knowledge graphs, Graph RAG, and reasoning-based approaches

  • MLOps experience to maintain low-latency AI systems

  • Prior experience in early-stage startups or 0→1/1→10 product building

  • Strong bias for action, clear thinking, and customer-first mindset

Responsibilities

  • Build and scale voice and chat agents for enterprises

  • Evaluate and implement models for speech and conversation

  • Optimize ML workflows for latency and performance

  • Collect and clean datasets to measure hallucination, recall, and model quality

  • Implement SOTA methods for Graph RAG and knowledge graph integrations

  • Run evaluations to improve overall system performance

  • Work closely with founders and customers to shape product direction

Job Details
Location: Gurgaon, India (WFO - 4 days / WFH - 1 day)
Compensation: INR 20-50 LPA. Includes early-stage equity. Flexible cash-equity split based on candidate preference.

Interview Process

  • Video call with CEO (Pranay) – Culture-fit

  • Take-home assignment

  • Tech Interview 1 (with CTO Ram – 45 mins, questions shared beforehand)

  • Tech Interview 2 (In-person with Ram – 60 mins)

  • Reference Checks

Role of ClanX
ClanX is helping Sei find top-tier AI talent for their core engineering team. We ensure the candidate experience is smooth and aligned with Sei’s expectations.

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Tags: Core ML Engineering LLMs Machine Learning ML models MLOps RAG

Perks/benefits: Equity / stock options Startup environment

Region: Asia/Pacific
Country: India

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