Gen AI - Lead

We are seeking an experienced MLOps AIOps / GCP Engineer to join the Gemini domain team. This role focuses on designing, building, and operating secure, scalable, production-grade ML and GenAI platforms on Google Cloud Platform (GCP), enabling reliable model training, deployment, monitoring, and incident response. You will collaborate with data scientists, platform engineers, and product teams to operationalize ML/GenAI use cases (including agentic workflows) and ensure high availability through robust production support, automation, and observability practices.

• Experience: 8-9 years
• Work Mode: Hybrid
• Employment Type: Full-time / Contract
• Primary Tech Stack: Python, GCP, Vertex AI, GitHub CI/CD, LangChain, LangGraph

• Python (production-grade development, packaging, testing, performance profiling)
• Strong understanding of APIs/microservices patterns, containerization, and runtime optimization

• Hands-on experience with Google Cloud Platform, including Vertex AI (pipelines, training, endpoints, model registry, monitoring)
• Cloud Storage, BigQuery, Pub/Sub
• Cloud Run and/or GKE
• Cloud Logging/Monitoring, IAM, Secret Manager, VPC networking

• Experience with at least one: Vertex AI / Databricks / Amazon SageMaker / Azure Machine Learning
• MLOps fundamentals: pipeline orchestration, model registry, lineage, reproducibility, model monitoring, and automated retraining

• Working knowledge of LangChain and LangGraph
• RAG patterns, prompt and response handling, tool/function calling concepts, evaluation approaches

• Experience with databases and/or vector DBs (e.g., pgvector, Pinecone, Weaviate, Milvus, Elastic, OpenSearch, etc.)
• Understanding of embeddings lifecycle, indexing strategies, and retrieval performance considerations

• GitHub CI/CD (e.g., GitHub Actions), branching strategies, release workflows

• Must be proficient in GCP and related tech stack
• Needs to know DevOps concepts using Github CI/CD
• Must have worked on production support and aware of GenAI release management
• Needs to know concepts of AI Ops, MCP server, Apigee.
• At least 8+ years of work experience, at least 3+ years with GCP.

• Data AI - GEN AI - Workflow Agentic Frameworks (LangChain / LangGraph)
• Data AI - GEN AI - AI Search Index
• Data AI - GEN AI - Retrieval-Augmented Generation (RAG) / Graph RAG / Agentic AI Systems
• Data AI - GEN AI - Advanced GenAI Agentic Framework Concepts
• Data AI - GEN AI - Fine-tuning Model Customization / AI Agents Tool Calling
• Data AI - GEN AI - Cloud Application Integration Deployment
• Data AI - GEN AI - Python
• Data AI - GEN AI - Prompt Engineering / Vector Databases
• Data AI - GEN AI - Pandas
• Data AI - GEN AI - NumPy
• Beh - Communication and collaboration