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Artificial Intelligence Engineer

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Onsite

Artificial Intelligence Engineer

Vlink

Artificial Intelligence Engineer

Skills

Google Cloud PlatformDockerJavaMicroservicesAIAWSKubernetesAzure

15 days ago

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Important information


Contract type:

Permanent

Location:

Gurugram, Haryana, India

Work mode:

Onsite

Published on:

6 October 2026

What they need


Greetings from VLink India Pvt Ltd!

We are currently hiring for a AI Engineer role with VLink India Pvt. Ltd. based in Gurugram, supporting our client BlackRock. .

Please find the requirements below:

  • 4+ years of professional experience in software/application development, with strong exposure to Agentic AI / Generative AI.
  • Hands-on experience in Agentic AI development is mandatory, including AI agents, agent workflows, orchestration, tool/function calling, memory, or multi-step reasoning.
  • Strong experience working with LLMs and GenAI technologies to build, integrate, deploy, or enhance AI-powered applications.
  • Experience with Agentic AI frameworks/tools such as LangChain, LangGraph, AutoGen, CrewAI, Semantic Kernel, or similar technologies.
  • Understanding of RAG, vector databases, embeddings, prompt engineering, tool calling, and AI application integration.
  • Experience developing or integrating AI agents with APIs, enterprise systems, databases, developer tools, or business applications.
  • Strong understanding of backend development, REST APIs, microservices, and scalable application architecture.
  • Java exposure is required, with good understanding of Core Java and backend application development.
  • Familiarity with Java concepts such as collections, exception handling, multithreading/concurrency, JVM fundamentals, and application debugging.
  • Hands-on experience with Java application deployment is preferred/required depending on project needs.
  • Experience deploying GenAI/Agentic AI applications or services in enterprise environments is an advantage.
  • Exposure to AI infrastructure, platform engineering, developer tooling, or AI transformation platforms is preferred.
  • Knowledge of Git, CI/CD pipelines, Docker, Kubernetes, or modern software development practices.
  • Exposure to cloud platforms such as AWS, Azure, or GCP is preferred.
  • Strong debugging, analytical, and problem-solving skills.
  • Good verbal and written communication skills with the ability to work with cross-functional engineering and product teams.

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