AI/ML Engineer

Role Summary

We are looking for an AI/ML Engineer to design, build, and deploy AI-powered solutions across RAG, agentic AI, and machine learning use cases. The role spans experimentation, backend development, cloud deployment, evaluation, and production support.

Key Responsibilities

• Design and develop RAG and agentic AI solutions from prototype to production
• Build AI workflows using Python, LangGraph, LangChain, or similar frameworks
• Develop backend services and APIs with FastAPI and REST APIs
• Create retrieval pipelines including ingestion, embeddings, indexing, retrieval, and evaluation
• Support knowledge graph and GraphRAG use cases
• Build and maintain AI/data pipelines in Databricks
• Deploy, monitor, and optimize AI applications on Microsoft Azure

• Collaborate with cross-functional teams to deliver production-ready AI solutions

  
  

Required Skills

• Several years of experience in AI, ML, software, or data engineering
• Strong proficiency in Python and backend/API development
• Hands-on experience with RAG, LLM applications, or agentic AI
• Experience with FastAPI, REST APIs, Docker, Git, CI/CD, and Azure DevOps
• Knowledge of Microsoft Azure and cloud-based deployments
• Familiarity with Databricks, SQL, and ML/data engineering workflows
• Understanding of security, authentication, logging, and monitoring
• Strong communication and problem-solving skills
  

Nice to Have

• Experience with GraphRAG, knowledge graphs, graph databases, or ontologies
• Experience with Azure AI Services, LangGraph, LangChain, or MCP
• Background in enterprise AI solutions and production-scale deployments
  

Education

• Master's degree in Computer Science, Engineering, Data Science, AI/ML, Statistics, or a related field.