Senior AI Engineer

We’re Hiring: AI Engineer – Backend & Voice AI Systems
Gurgaon (On-site) |

Full-Time |

1–3 Years Experience

About Darwix AI
Darwix AI is one of India’s fastest-growing GenAI startups, redefining enterprise sales and customer engagement with

real-time conversational intelligence

.
Our agent-assist & pitch intelligence suite powers

voice, video, and chat

conversations for leading enterprises across India, the UAE, and Southeast Asia. Backed by global VCs and top operators from Google, Salesforce & McKinsey – we’re solving frontier problems in

real-time voice AI, multilingual transcription, RAG, and fine-tuned LLMs at scale.

Role Overview
We’re looking for a

AI Engineer

to design, build, and scale AI pipelines for real-time transcription, LLM orchestration, RAG, and multilingual voice systems.
This is a

hands-on leadership role

— you’ll

architect, code, optimize, and mentor

while delivering AI features that impact thousands of live conversations every day.

What You’ll Work On
1. AI Architecture & Model Development
Architect end-to-end pipelines for transcription, real-time inference, LLM integration & vector retrieval
Build, fine-tune & deploy STT/diarization models (Whisper, Wav2Vec2.0)
Implement GenAI workflows using OpenAI, Gemini, LLaMA, Mistral & open-source LLMs
2. Real-Time Voice AI Systems
Design

low-latency, multi-lingual pipelines

for real-time audio
Build

WebSocket-based streaming, chunked inference & caching
Develop

event-driven architectures

for voice processing
3. Retrieval-Augmented Generation (RAG)
Build

RAG pipelines

with FAISS, Pinecone, Weaviate + LangChain/LlamaIndex
Own

chunking, indexing & embedding strategies

(OpenAI, Cohere, HuggingFace)
4. Fine-Tuning & Prompt Engineering
Fine-tune LLMs with

RLHF, SFT, LoRA/PEFT
Optimize prompts for summarization, tone, objection handling & categorization
Run

few-shot & zero-shot benchmarking
5. Pipeline Optimization & MLOps
Ensure pipeline robustness with

Docker, Kubernetes, CI/CD (GitHub Actions)
Collaborate with data teams for

ingestion, labeling & augmentation
Build

tools for latency, accuracy & relevance benchmarking
6. Team Leadership & Collaboration
Lead & mentor a high-performing AI engineering team
Work with

backend, frontend & product teams

to deliver at scale
Drive

architectural decisions

across AI, data & backend systems

What We’re Looking For
✅ BTech/BE from Tier 1 Institutes in India (IIT, NIT, IIIT, etc.)
✅ 1-6 years building & deploying

AI/ML systems

(at least 2 yrs in NLP/voice tech)
✅ Hands-on with

Python, PyTorch/TensorFlow, FastAPI/Django
✅ Strong experience in

ASR, NLP, GenAI, or RAG systems
✅ Proven track record of

production AI deployments

with latency optimization
✅ Strong fundamentals in

distributed systems, vector DBs, and transformer models
Bonus Points For
✨ Multilingual speech recognition/translation
✨ AI deployments on edge/browsers
✨ Open-source ML/NLP contributions or publications

Why Join Us?
Competitive salary + ESOPs + performance bonuses
Access to GPUs, API credits, research tools & conferences
Work directly with founders & IIT/BITS/IIM alums
Ownership of

core AI modules at scale
Be part of scaling from

10 → 100+ enterprise clients globally

⚠️

This Role is NOT for Everyone
Not for abstract research-only roles
Not for those who prefer slow cycles
✅ Perfect for

builders who ship, optimize & scale real-time AI systems
How to Apply
Send your resume + GitHub/portfolio to

career@darwix.ai
Subject:

AI Engineer – [Your Name]
Darwix AI –

Building the world’s most scalable AI sales intelligence platform. From India, for the World.