Senior AI/ML Engineer – Generative AI

Job Summary

We are seeking a Senior AI/ML Engineer with strong experience in Generative AI and Large Language Models (LLMs) to design, develop, and deploy production-grade AI solutions on Microsoft Azure.

The ideal candidate has deep expertise in machine learning, LLM applications, Retrieval-Augmented Generation (RAG), prompt engineering, and scalable MLOps implementations in enterprise environments.

Key Responsibilities

• Design and deploy Generative AI solutions using LLMs and RAG architectures

• Develop AI agents and multi-agent workflows

• Implement evaluation frameworks for LLM performance and reliability

• Build scalable ML pipelines using Azure services

• Deploy models using MLOps best practices and CI/CD pipelines

• Implement Responsible AI practices (bias mitigation, safety guardrails, monitoring)

• Optimize ML models for accuracy, performance, and cost-efficiency

Required Qualifications

• 12+ years of AI/ML development experience

• 1–2+ years of hands-on experience with production LLM/Generative AI systems

• Strong Python programming skills

• Experience with TensorFlow, PyTorch, or JAX

• Hands-on experience with:

  • Azure OpenAI Service

  • Azure Machine Learning

  • Azure Kubernetes Service

• Experience with RAG, LLM fine-tuning, and prompt engineering

• Experience designing scalable ML systems in production

Preferred Skills

• Experience with LangChain, LlamaIndex, Semantic Kernel

• Experience with vector databases (Pinecone, Weaviate, ChromaDB, Azure AI Search)

• Experience with Docker, Kubernetes, Terraform

• Experience with MLflow or similar MLOps tools

• Strong understanding of transformer architectures