Senior Agentic Engineer

Google · Bengaluru

  • Experience5–7 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelsenior
  • Posted2 Sept 2026
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About Google

Google is hiring in Bengaluru in technology software. This role looks for around 5+ years of experience.

Skills

  • Python
  • Large Language Models
  • Retrieval-Augmented Generation
  • agent frameworks
  • APIs
  • microservices
  • system design
  • Azure
  • vector databases
  • cloud platforms

The role

A generative AI engineer at a technology software company designs intelligent systems with Large Language Models, Retrieval-Augmented Generation, and agent-based architectures, integrating scalable backend systems and cloud platforms. This person also applies Python and vector databases to production-grade AI applications.

Full job description

We are looking for a highly skilled Senior Agentic AI Engineer with strong expertise in Python and modern AI frameworks. The ideal candidate will have hands-on experience building intelligent systems using LLMs, RAG pipelines, and agent-based architectures, along with a solid understanding of scalable backend systems and cloud platforms.

Responsibilities:

Design, develop, and deploy advanced AI systems using Large Language Models (LLMs).

Build and optimise Retrieval-Augmented Generation (RAG) pipelines.

Develop and manage agent-based frameworks for complex workflows and automation.

Integrate AI solutions with APIs, microservices, and cloud-based architectures.

Work with vector databases for efficient semantic search and retrieval.

Collaborate with cross-functional teams to design scalable AI solutions.

Debug, troubleshoot, and optimise system performance.

Stay updated with the latest advancements in AI and agentic frameworks.

Requirements:

Strong software engineering background with excellent Python skills.

Hands-on experience with LLMs, RAG, and agent frameworks.

Good understanding of APIs, microservices, and system design.

Experience working with cloud platforms (Azure preferred).

Familiarity with vector databases (e. g., Pinecone, FAISS, Weaviate).

Strong problem-solving and debugging skills.

Preferred Qualifications:

Experience in building production-grade AI applications.

Knowledge of AI system architecture and scalability best practices.

Exposure to prompt engineering and fine-tuning techniques.