Hiring: Expert AI ML engineer Company: Tata Consultancy Services Location: Pennington, NJ Job Posted Time: 2026-09-16 23:09:05 Employment Type: Hybrid Target Skills & Keywords : AWS, Airflow, ArgoCD, Azure, CI/CD, ChromaDB, Compliance, Confluence, Databricks, Delta Lake, Docker, ETL, Feature Store, Foundry, GCP, GitHub Actions, Hadoop, Hugging Face, Java, JavaScript, Jenkins, Kafka, Kubernetes, LLM, LangChain, LightGBM, LlamaIndex, MLOps, MLflow, Machine Learning, Model Registry, MongoDB, NLP, OpenAI API, OpenAPI, Pinecone, PostgreSQL, PySpark, PyTorch, Python, RAG, SQL, SQL Server, Scala, Spark, TensorFlow, Terraform, TypeScript, Vertex AI, Weaviate, XGBoost, scikit-learn About the job Required Skills: •Design and implement enterprise-scale GenAI applications using OpenAI, Claude, Gemini, Llama, Mistral, and other foundation models. •Build production-grade RAG architectures with vector search and semantic retrieval. •Develop AI-powered applications using prompt engineering, contextual retrieval, tool calling, and memory management. •Optimize LLM performance, latency, throughput, hallucination reduction, and response accuracy. •Design hybrid AI architectures combining structured data, unstructured documents, APIs, and enterprise knowledge sources. •Implement guardrails, responsible AI controls, content filtering, and compliance frameworks. •Build intelligent autonomous and semi-autonomous agentic systems. •Develop agent workflows using: LangGraph,CrewAI,AutoGen,Semantic Kernel,MCP (Model Context Protocol),Agent-to-Agent Architectures Qualifications: •GenAI Ecosystem-LangChain,LangGraph,LlamaIndex,Semantic Kernel,CrewAI,AutoGen,OpenAI APIs,Gemini APIs,Claude APIs •RAG Technologies-Vector Embeddings,Semantic Search,Hybrid Search,Knowledge Graph RAG,Agentic RAG •Demonstrated expertise in one or more: Azure,AWS,GCP •Strong preference for: Azure OpenAI,Azure AI Foundry,AWS Bedrock,Vertex AI Compensation: •$110,000 - $125,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!