Posted 03 July, 2026
AI Engineer
NR Consulting
Mumbai,Maharashtra
Full Time
Reference: 365_463738_26-02476
Title: AI Engineer
Location: Mumbai
Exp: 3-5 yrs
Job Description:
Key Responsibilities :
Design end-to-end LLM applications with WebSocket and FastAPI
Develop LLM workflows , orchestration, multi-agent patterns, prompt engineering and RAG pipelines
Work with ASR/TTS/VAD tools (Elevenlabs, Azure Speech, ONNX Runtime)
Build scalable data pipelines (Python, Cloud Run, Cloud Functions, Pub/Sub)
Integrate LLM applications with APIs and enterprise data sources
Implement structured outputs, tool-calling, and function-execution flows
Deploy, monitor, and optimize AI services on GCP/Azure
Conduct LLM performance testing (latency, reliability, grounding, bias checks)
Containerize and automate workflows using Docker & GitHub
Ensure model safety, guardrails, hallucination checks, and output quality benchmarking
Required Skills:
Python (advanced)
LLMs (GPT, Gemini, LLaMA), RAG, vector DBs
Speech AI (ASR, TTS, VAD)
Build and optimize ML/DL models
Cloud platforms (GCP preferred)
Data engineering & pipeline development
MLOps: Docker, CI/CD, model/prompt versioning
Location: Mumbai
Exp: 3-5 yrs
Job Description:
Key Responsibilities :
Design end-to-end LLM applications with WebSocket and FastAPI
Develop LLM workflows , orchestration, multi-agent patterns, prompt engineering and RAG pipelines
Work with ASR/TTS/VAD tools (Elevenlabs, Azure Speech, ONNX Runtime)
Build scalable data pipelines (Python, Cloud Run, Cloud Functions, Pub/Sub)
Integrate LLM applications with APIs and enterprise data sources
Implement structured outputs, tool-calling, and function-execution flows
Deploy, monitor, and optimize AI services on GCP/Azure
Conduct LLM performance testing (latency, reliability, grounding, bias checks)
Containerize and automate workflows using Docker & GitHub
Ensure model safety, guardrails, hallucination checks, and output quality benchmarking
Required Skills:
Python (advanced)
LLMs (GPT, Gemini, LLaMA), RAG, vector DBs
Speech AI (ASR, TTS, VAD)
Build and optimize ML/DL models
Cloud platforms (GCP preferred)
Data engineering & pipeline development
MLOps: Docker, CI/CD, model/prompt versioning