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VGreen Technology Solutions (VGreenTEK) Linkedin · Posted 2mo ago

Senior AI Engineer – Agentic AI_Remote

Noida, Uttar Pradesh, India

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Senior AI Engineer - Agentic AI

Experience: 5-8 Years

Employment Type: Contract (6+ Months)

Working Time:- 02:00 PM IST to 11:00 PM IST

Location: Remote (First week should in Trivandrum/Kochi Office)


About the Role

We are looking for a Senior AI Engineer to design and build agent-based AI systems as part of our enterprise Agentic AI initiative. This role is ideal for a hands-on, production-focused AI builder with strong architectural thinking and the ability to mentor junior engineers.

You will work on cutting-edge AI solutions, building scalable systems that transform data into intelligent, actionable workflows.


Key Responsibilities

  • Design and implement agent-based AI workflows and architectures
  • Define and optimize prompt strategies, tool orchestration, and agent behavior
  • Build, deploy, and manage AI services on GCP (Cloud Run, Vertex AI)
  • Establish and maintain MLOps best practices, including:
    • Model and prompt versioning
    • Evaluation frameworks and guardrails
  • Collaborate with cross-functional teams to deliver production-grade AI solutions
  • Mentor junior engineers and contribute to engineering standards and best practices


Must-Have Skills

  • Strong proficiency in Python and system design
  • Hands-on experience with:
    • Large Language Models (LLMs) - OpenAI, Gemini, Azure OpenAI
    • Agent frameworks - LangChain, LangGraph, CrewAI
    • Integrations - MCP, APIs, tool orchestration, A2A communication
  • Proven experience in deploying AI solutions to production
  • Solid understanding of cloud-native architecture (GCP preferred)


Good to Have

  • Experience with RAG (Retrieval-Augmented Generation) architectures
  • Knowledge of vector databases


Education

  • Bachelor’s degree in Computer Science, Information Technology, or a related field


What We’re Looking For

  • A problem-solver and innovator who thrives in a fast-paced environment
  • Strong ownership mindset with a focus on real-world AI deployment
  • Ability to adapt, learn, and lead in evolving AI landscapes
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