S
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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