Voice AI Engineer
First seen by Alion on Oct 7, 2026.
Description :
Job Title : Voice AI Engineer (Machine Learning & NLP)
Locations : Gurugram (Sector 54) / Chennai (T. Nagar) Hybrid (4 Days In-Office)
Experience : 3+ Years
Role Summary :
We are an agentic AI platform for financial services, backed by Y Combinator and other world-class investors.
We are seeking a Voice AI Engineer to transition our V1 platform into a scalable, robust enterprise-grade system.
You will be responsible for building large-scale voice agents that handle real-world financial conversations with low latency and high accuracy.
This is a high-intensity role for "doers" who thrive in early-stage environments and have a strong bias toward action.
Key Responsibilities :
- Agent Development : Build and scale large-scale voice and chat agents specifically designed for enterprise financial services.
- Model Evaluation : Test and implement multiple models for Voice Activity Detection (VAD), turn detection, and interrupt handling to ensure natural conversation flows.
- Latency Optimization : Manage MLOps to ensure ultra-low latency responses, critical for a seamless voice experience.
- Data Engineering : Clean, prune, and collect datasets to analyze model performance, including hallucination rates, recall, and overall accuracy.
- Advanced Research : Research and implement SOTA (state-of-the-art) approaches for knowledge graphs and Graph RAGs.
- Evals & Monitoring : Run continuous evaluations and monitoring for production agents to drive iterative improvements.
Required Qualifications :
- Voice AI Expertise: Mandatory experience building and taking voice AI agents to production.
- Technical Proficiency: Must have worked with frameworks such as Pipecat and Livekit.
- ML Foundations: Strong background in Machine Learning (ML), Natural Language Processing (NLP), and Prompt Engineering.
- Startup Experience: Proven track record of building things from 0 to 1 or 1 to 10 in early or growth-stage startups.
- Mindset: Strong intrinsic motivation and the ability to scale systems from scratch without heavy micro-management.
Core Values & Culture :
- Product-Minded : Everyone shares ownership of the product and engages in customer outreach and support.
- Doers Over Talkers : We value execution over pretense; even the founders code and handle support tasks.
- Human-Centric : We prioritize empathy and kindness, recognizing that we ultimately sell to real humans.
- Intense Accountability : This is not a role for those looking to "coast"; we expect high-quality, intense work every day.
Why You Should Join :
- Work directly with founders who have 20+ years of experience at companies like PayPal, Amazon, and Deutsche Bank.
- Shape the tech, product, and culture of a company growing at double digits per month.
- Competitive compensation with significant early-stage equity.
Skills
Artificial Intelligence, Machine Learning, NLP, Data Engineering, Prompt Engineering, Conversational AI, CVAD