Senior AI/ML Engineer

Actively Reviewing the Applications

VAYUZ Technologies

India, Tamil Nadu, Chennai Full-Time INR 9–16 LPA

Posted 2 hours ago • Apply by June 28, 2026

Job Description

Minimum 4 years of hands-on experience in ML Engineering, AI Engineering, or LLM Engineering roles
MANDATORY: At least 2 production-deployed AI/ML systems (describe in application: problem, scale, your ownership, tech stack used)
Proven experience deploying LLM applications - RAG pipelines, AI chatbots, autonomous agents, or AI-powered workflows - to production cloud (AWS / Azure / GCP)
Hands-on experience with at least one agentic AI framework: LangChain, LlamaIndex, AutoGen, CrewAI, or Semantic Kernel
Strong Python proficiency; experience with FastAPI or Flask for building AI-serving microservices
Experience integrating at least one LLM API in production: OpenAI, Anthropic, Azure OpenAI, Cohere, or Hugging Face
Hands-on experience with vector databases (Pinecone / Weaviate / Milvus / Chroma / pgvector / FAISS) in production RAG systems
Solid command of Docker and Kubernetes for containerized AI model deployment
Understanding of prompt engineering, context window management, and LLM cost optimization
Exposure to MLOps tooling: MLflow, Weights & Biases, or DVC for experiment tracking and model management

Good to Have

Experience with multi-agent frameworks: AutoGen, CrewAI, LangGraph, or custom orchestrators
LLM fine-tuning using LoRA, QLoRA, PEFT, SFT, RLHF, or DPO on domain-specific datasets
Inference optimization experience: vLLM, TensorRT-LLM, ONNX, model quantization (INT4/INT8), or distillation
GenAI observability experience with LangSmith, LangFuse, Arize AI, or Evidently AI
Knowledge of responsible AI, AI governance, output guardrails, bias detection, and factuality validation
Open-source contributions to GenAI, LLM, or agentic AI tooling
Frontend exposure (React, TypeScript) for building internal AI dashboards or chat interfaces
Familiarity with enterprise AI compliance, data privacy, and security best practices (SOC 2, GDPR)