Lead Agentic AI Engineer

Title: Lead Agentic AI Engineer Location: 100% Remote Contract role Key Skills: AI/ML, Gen AI, Google Cloud Platform (GCP), and ML Ops About the Role: Lead Agentic AI Engineer with over 5 years of experience to manage an offshore AI Engineer Team in the design, build, and deploy autonomous, goal-driven AI systems using the Google Gemini ecosystem. The ideal candidate will integrate LLM reasoning, memory, and tool orchestration within Vertex AI, leveraging Gemini models to create agentic applications that plan, act, and adapt dynamically. Key Responsibilities: • Design and implement agentic workflows that combine Gemini models with tools, APIs, and external data sources. • Develop multi-agent architectures with planning, reflection, and memory layers using Vertex AI Agents, LangChain, or similar frameworks. • Integrate AI agents into enterprise applications via Vertex AI Extensions, BigQuery, and Cloud Functions. • Ensure governance, observability, and cost optimization within GCP AI workloads. Must-Have Skills & Qualifications: • Prior experience implementing Agentic, GenAI, AI, and ML applications and leading a team of AI/ML Engineers. • Proficiency with Google Cloud Platform (GCP) — especially Vertex AI, Gemini API, and BigQuery. • Strong experience with Python and AI orchestration frameworks (LangChain, AutoGen, or CrewAI). • Deep understanding of LLM prompt engineering, reasoning chains, and tool calling patterns. Good-to-Have Skills: • Proficiency with Google ADK, and BigQuery ML. • Experience building autonomous agents using Vertex AI Agents, PaLM API, or Gemini SDK strongly preferred • Data Science experience strongly preferred. • Familiarity with retrieval-augmented generation (RAG) pipelines and vector databases (e.g., Pinecone, Weaviate, or Vertex Matching Engine). • Knowledge of MLOps on GCP, including model deployment, monitoring, and CI/CD integration.