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Agentic AI Engineer

Actively Reviewing the Applications

Persistent Systems

India, Maharashtra Full-Time On-site
Posted 2 days ago Apply by June 9, 2026

Job Description

About Position


We are seeking a highly skilled and innovative Agentic AI Engineer to join our Pre-Sales team, focusing exclusively on building, deploying, and managing advanced AI agents and multi-agent systems using the full suite of Google Cloud Platform (GCP) services for driving the sales cycle. The ideal candidate will combine deep expertise in machine learning and software engineering with a practical understanding of LLMs, agentic architectures, and reliable, scalable cloud infrastructure.


  • Role: Agentic AI Engineer (GCP)
  • Location: Pune
  • Experience: 10+ years
  • Job Type: Full Time Employment


What You’ll Do:


  • Agent Development and Architecture: Design, develop, and implement autonomous AI agents and complex multi-agent systems using frameworks like LangChain, custom Python, and native Google AI services (Vertex AI, Gemini API).
  • Google Cloud Integration: Leverage core GCP services (e.g., Vertex AI, Cloud Functions, Cloud Run, Cloud Storage, BigQuery) to build, train, deploy, monitor, and scale agentic applications reliably and securely.
  • Tool and RAG Implementation: Engineer and integrate tools, functions, and Retrieval-Augmented Generation (RAG) pipelines for agents to interact with external systems, databases (e.g., Cloud SQL, Firestore), and proprietary knowledge bases within GCP.
  • Deployment and MLOps: Establish and maintain robust MLOps practices for agent lifecycle management on Vertex AI, including continuous integration/continuous deployment (CI/CD) pipelines, monitoring agent performance, drift, and responsible AI guardrails.
  • Performance Optimization: Tune and optimize agent performance, latency, and cost-efficiency within the Google Cloud environment.


Expertise You'll Bring:


  • Experience: Overall 10+ years of exp with 3+ years in AI/ML engineering, with 1+ years specifically focusing on developing or deploying applications using large language models (LLMs) and agentic principles.
  • Cloud Proficiency: Demonstrated expertise in deploying and managing production workloads on Google Cloud Platform, particularly Vertex AI. GCP certification (e.g., Professional Cloud Architect or Machine Learning Engineer) is a plus.
  • Technical Skills: Strong proficiency in Python, ML frameworks, and deep practical experience with LLM APIs (e.g., Gemini, GPT). Experience with agentic frameworks (LangChain, AutoGen) is highly desirable.
  • Data and Storage: Familiarity with GCP data services (BigQuery, Cloud Storage) for managing agent data, logs, and RAG source materials.


Benefits:


  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents


Values-Driven, People-Centric & Inclusive Work Environment:


Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.


  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment


Let's unleash your full potential at Persistent


"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

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