Agentic AI
2 weeks ago
Role - Lead AIML Engineer (Agentic AI - Google Gemini)
Exp - 7+ Yrs
Loc - Pune, Hyderabad, Bangalore (Hybrid mode)
Position - Permanent Full-time
Company - Global Leader in Data Analytics & AI/ML
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:
- 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.
Preferred/Good to have Skills:
Proficiency with Google Cloud Platform (GCP) especially Vertex AI, Gemini API, 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.
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