AI/ML Engineer

Role OverviewWe are looking for an AI/ML Engineer with 4+ years of experience to build, integrate, and scale graph-powered AI solutions. This role emphasizes hands-on development using Databricks, LLM frameworks, vector databases.Key ResponsibilitiesImplement AI workflows using LangChain or LangGraph.Integrate knowledge graphs with LLMs (GPT-5, Claude 4, etc.) for RAG and reasoning use cases.Work with vector databases such as Pinecone or Milvus for embeddings and semantic search.Develop and train AI/ML models using Python and libraries such as TensorFlow, PyTorch, Scikit-learn, and OpenCV.Build and maintain APIs using FastAPI to support AI/ML applications and services.Deploy and monitor models using Docker, Kubernetes, and cloud platforms.Collaborate closely with architects and data teams to deliver scalable AI solutions.Work with graph data concepts and knowledge graphs, including knowledge of Neo4j and Cypher.Required Skills & Qualifications4+ years of experience in AI/ML engineering, data engineering, or related roles.Strong proficiency in Python (mandatory).Strong knowledge of SQL (mandatory).Hands-on experience with FastAPI (mandatory).Experience with LangChain or LangGraph.Familiarity with vector databases (Pinecone, Milvus).Knowledge of Neo4j, Cypher, and graph data modeling.Experience with cloud platforms (AWS, GCP, or Azure).Knowledge of MLOps fundamentals, model deployment, and monitoring.Experience working with LLM integrations and RAG pipelines.

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