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AI Engineer - Defence

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Onsite

AI Engineer - Defence

Serendipity Corporate Services

AI Engineer - Defence

Skills

DockerPythonKnowledge ManagementAIAzure

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

2 September 2026

What they need


  • Design, develop, and deploy Generative AI applications using Python and modern LLM frameworks.
  • Build and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
  • Develop AI agents and multi-agent workflows using Agentic AI principles.
  • Integrate Vector Databases for semantic search, document retrieval, and knowledge management.
  • Develop intelligent copilots and conversational AI solutions using Microsoft Copilot Studio.
  • Build AI solutions leveraging Azure AI Foundry and Azure AI services.
  • Implement prompt engineering, context management, and LLM orchestration techniques.
  • Work with LangGraph to develop scalable agent workflows and autonomous AI systems.
  • Collaborate with cross-functional teams to integrate AI capabilities into business applications.
  • Evaluate, monitor, and improve AI model performance, reliability, and scalability.

Required Skills

  • Strong programming skills in Python.
  • 1 to 2 years of hands-on experience in Generative AI.
  • Experience building Retrieval-Augmented Generation (RAG) applications.
  • Hands-on experience with Vector Databases (Pinecone, ChromaDB, FAISS, Weaviate, Milvus, etc.).
  • Experience developing Agentic AI or AI agent-based solutions.
  • Hands-on experience with Microsoft Copilot Studio or similar AI development tools.
  • Experience working with Microsoft Azure AI Foundry and Azure AI services.
  • Strong understanding of Large Language Models (LLMs), prompt engineering, embeddings, and semantic search.
  • Familiarity with REST APIs, Git, and modern software development practices.

Preferred Skills

  • 1 to 2 years of hands-on experience with LangGraph.
  • Experience with LangChain and AI orchestration frameworks.
  • Knowledge of Azure OpenAI Service.
  • Experience deploying AI applications on Azure cloud.
  • Understanding of AI governance, model evaluation, and responsible AI principles.
  • Familiarity with Docker, CI/CD pipelines, and cloud-native application development.

Qualifications

  • Bachelor''s or Master''s degree in Computer Science, Artificial Intelligence, Information Technology, or a related field.
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work in Agile/Scrum environments and collaborate with global teams.
  • Keywords Generative AI Engineer (Python,Agentic AI,Azure AI)

Mandatory Key Skills (atleast 1)

  • Generative AI Engineer (Python,Agentic AI,Azure AI)
  • Qualification: Any Graduate Hiring For*( To Be Disclosed)

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