AI Engineer

Job Description

• The Client seeking a highly skilled AI Engineer to design, develop, and deploy advanced AI solutions, with a focus on integrating cloud-based AI models into enterprise applications.
• The ideal candidate will have strong expertise in Java and Python, hands-on experience with modern AI frameworks, and the ability to architect, implement, and optimize AI systems in Azure environments.

Key Responsibilities:

• Design, develop, and deploy AI-powered applications using Java and Python.
• Integrate cloud-based AI models with enterprise systems, ensuring scalability, performance, and security.
• Utilize frameworks such as Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow, and other emerging AI tools.
• Work extensively with Azure AI services including Azure OpenAI and Azure AI Search for building intelligent, context-aware solutions.
• Apply advanced AI architecture patterns such as RAG, Agentic RAG, MCP, Functional Calling, and A2A to solve complex business problems.
• Implement prompt engineering and context engineering best practices to enhance model responses.
• Manage vector databases, embedding and chunking strategies, and real-time data integration pipelines.
• Evaluate, fine-tune, and optimize AI model outputs for accuracy, efficiency, and relevance.
• Collaborate with cross-functional teams, including data engineers, software developers, and product managers, to deliver high-quality AI solutions.
• Stay up to date with emerging AI trends, tools, and best practices.

Qualifications & Skills:

• Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Data Science, or related field.
• Proven experience in Java and Python programming.
• Hands-on AI application development with cloud-based model deployment and optimization.
• Strong experience with Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow, etc.
• Proficiency with Azure AI services (Azure OpenAI, Azure AI Search).
• Solid understanding of advanced AI architecture patterns (RAG, Agentic RAG, MCP, Functional Calling, A2A).
• Expertise in prompt engineering, context engineering, vector databases, embeddings, chunking strategies, and real-time data integration.
• Strong analytical and problem-solving skills with experience in model evaluation and optimization.
• Excellent communication and collaboration skills.