Senior AI Engineer Voice Bot & Agentic AI

Gurgaon | Full time | 6-9 Years Experience ( 3+ years in production AI/ML)

We're building the next-generation AI-native, multilingual, omnichannel communication platform for emerging markets.

We're looking for a hands-on Senior AI Engineer who will own and deliver the intelligent core of our agent-assist stack including real-time Voice AI, agentic workflows, LLM-based automation, and production ML pipelines that power conversations at scale.

What You'll Build

This is a foundational role where you'll architect and ship production AI systems that directly impact how businesses communicate with customers across India and beyond.

You'll Own

- Real-time Voice AI Systems — STT LLM reasoning TTS loops with sub-second latency
- Agentic Workflows — Multi-step decision engines using LangChain/LangGraph for call summarization, sentiment detection, auto-disposition, and escalation routing
- Production LLM Pipelines — Prompt engineering, RAG architectures, context management, and evaluation frameworks
- Model Optimization — Fine-tune speech and language models for Indian accents and vernacular languages, including Hindi, Tamil, Telugu, and Bengali
- Scalable Inference — Deploy AI services on Kubernetes with FastAPI, optimized for high-concurrency, low-latency production environments
- Platform Integration — Connect AI modules into Dialer, CRM, IVR, and agent-assist tools

You'll Ship

- Conversational AI that handles real customer interactions, not just demos
- Agent-assist features that save agents 30+ seconds per call
- Automated workflows that route, tag, and resolve issues without human intervention
- ML systems that learn from multilingual, noisy, real-world voice data

Must-Have Skills

We'll assess these deeply.

Mandatory

1. Production Voice AI Experience





Real-time conversational systems (STT LLM TTS), not just transcription or batch audio.

You should have built voice bots or agents that interact with real users in production.

2. Agentic AI & LLM Orchestration

Hands-on experience with LangChain, LangGraph, or similar frameworks, building agents that:

- Reason over context
- Use tools
- Maintain state
- Make autonomous decisions

We're looking for genuine agentic AI experience — not just chaining API calls.

3. Python & FastAPI Production Development

You write production-grade Python and have built and deployed REST APIs using FastAPI.

You should understand:

- Async programming
- Error handling
- Logging and observability
- API design
- Production debugging

4. ML/AI Deployment at Scale

You've shipped models to production using Docker + Kubernetes and understand CI/CD for ML systems.

You should have experience with:

- Debugging latency
- Optimizing throughput
- Monitoring inference in production
- Scaling AI workloads

Strong Preference

Not dealbreakers, but highly valued:

- Speech AI — Whisper, Deepgram, or equivalent STT/TTS systems in production
- Contact Center / IVR / Dialer / CRM domain knowledge
- Indian language models — Hindi, Tamil, Telugu, Bengali, or Hinglish ASR/NLP
- Data infrastructure — PostgreSQL, Redis, Kafka for real-time pipelines
- HuggingFace ecosystem and model fine-tuning — LoRA/QLoRA, quantization

Nice to Have

- Experience with Rasa, Coqui TTS,



or open-source Voice AI stacks
- Prior experience in SaaS startups, especially communication/telephony
- Speech emotion recognition, speaker diarization, or acoustic modeling
- Compliance-aware AI — DPDP, GDPR-ready data handling

You'll Thrive Here If You

- Have 6–9 years of software/AI engineering experience, with at least 3+ years in production AI/ML across LLMs, Voice AI, NLP, or Conversational Systems
- Have shipped AI systems that real users depend on — not just POCs or Jupyter notebooks
- Are highly hands-on — you write code, review PRs, debug production issues, and own deployments
- Understand production trade-offs — latency vs. accuracy, cost vs. quality, speed vs. polish
- Can work effectively in a startup environment — ambiguity is opportunity, scrappiness is valued, and ownership is expected
- Communicate clearly and can explain AI systems to product, engineering, and business teams

You don't need to know everything on Day 1 — but you should be comfortable learning fast.

Why This Role Matters

You'll be shaping how millions of users interact with businesses — in their language, on their terms, with AI that actually understands context and intent.

This isn't a research lab. This is production AI at the edge of what's possible today.

You'll work on:

- Multilingual Voice AI for Tier 2/3 India, where English-first solutions often fail
- Affordable, fast-deploy SaaS for SMBs that can't afford enterprise CCaaS
- Real-time agent assistance that makes human agents up to 3 more effective

You'll work with modern AI tools such as GPT, Whisper, and LangChain while solving hard, real-world problems including:

- Noisy audio
- Code-mixed languages
- Low-latency constraints
- Cost optimization
- Real-time inference at scale

📌 Senior AI Engineer - Voice AI & Agentic Systems (Gurugram)
🏢 Danish Mullaji
📍 Gurugram