Google Agentic AI

About the Company

KPI Partners is seeking a talented and motivated Google Agentic AI Engineer to join our innovative team. In this role, you will be responsible for designing, developing, and implementing advanced AI-driven solutions based on Google technologies. You will collaborate with cross-functional teams to create intelligent applications that enhance business processes and drive decision-making through data insights.

About the Role

Agentic AI Engineer with over 2 years experience to 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.

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.

Qualifications

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.

LLMs, Google Vertex, AI / ML, Google Gemini.

Required Skills

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.

LLMs, Google Vertex, AI / ML, Google Gemini.

Preferred Skills

Experience building autonomous agents using Vertex AI Agents, PaLM API, or Gemini SDK.

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.

Pay range and compensation package

Location : Bangalore, Hyderabad, Pune. Looking for immediate joinees only.

Equal Opportunity Statement

KPI Partners is committed to diversity and inclusivity in the workplace.