Seeking a Senior AI Engineer with strong expertise in Machine Learning, Generative AI, MLOps, and Agentic AI to design and deploy enterprise-scale AI solutions. The ideal candidate should have hands-on experience building production-ready LLM applications, RAG-based solutions, AI agents, and scalable MLOps pipelines using up-to-date AI frameworks and cloud platforms.Mandatory Skills
- 7–12+ years of AI/ML engineering experience
- Python programming
- Machine Learning &
- MLOps
- Generative AI (OpenAI, Azure OpenAI, Gemini, Claude, AWS Bedrock)
- LangChain, LlamaIndex
- Prompt Engineering &
- LLMOps
- RAG Architecture &
- Vector Databases
- Agentic AI (LangGraph, CrewAI, AutoGen, Semantic Kernel)
- Vertex AI / Azure ML / SageMaker
- MLflow / Kubeflow
- API-first architecture &
- Microservices
Preferred Skills
- Production AI platform implementation
- Feature Stores, Model Registry &
- Experiment Tracking
- Enterprise AI Governance &
- Responsible AI
- AI Model Monitoring &
- Drift Detection
- Multi-Agent Systems, Tool Calling &
- Agent Memory
Good Profile Indicators
- Experience building enterprise GenAI/LLM applications
- Hands-on expertise in RAG and Vector Databases
- Experience deploying AI solutions to production
- Designed AI Agents using LangGraph, CrewAI, or AutoGen
- Strong Azure, AWS, or GCP AI platform experience
- Experience with scalable microservices-based AI applications