AI Engineer
AI Engineer
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3-8years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
We are an IT Solutions Integrator/Consulting Firm helping our clients hire the right professional for an exciting long term project. Here are a few details.
Requirements
We are seeking an experienced AI Engineer to join our team for a high-impact project. The ideal candidate will have a strong background in Java and Python hands-on experience with AI application development and deep expertise in cloud-based AI model integration deployment and optimization particularly within Azure AI environments.
This role involves working with modern AI frameworks implementing advanced AI architecture patterns and optimizing solutions for real-time production-grade applications.
Key Responsibilities
Design develop and deploy AI-driven applications leveraging Java and Python.
Integrate and optimize cloud-based AI models in Azure including Azure OpenAI and Azure AI Search.
Implement advanced AI architecture patterns such as:
RAG (Retrieval-Augmented Generation)
Agentic RAG
MCP (Multi-Chain Processing)
Functional Calling
A2A (Agent-to-Agent) workflows in Azure.
Utilize frameworks and tools such as Spring AI LangChain LangGraph LlamaIndex Agno Pydantic TensorFlow.
Apply prompt engineering and context engineering strategies to maximize AI output relevance and accuracy.
Work with vector databases and design embedding/chunking strategies for large datasets.
Enable real-time data integration into AI-driven workflows.
Evaluate AI model outputs optimize for performance accuracy and cost.
Collaborate with cross-functional teams (Data Science Cloud Engineering Product) to align AI solutions with business needs.
Troubleshoot AI integration challenges and implement best practices for scalability and security.
Required Skills & Experience
Strong coding experience in Java and Python.
Hands-on experience in AI application development and deployment.
Proven expertise with AI frameworks: Spring AI LangChain LangGraph LlamaIndex Agno Pydantic TensorFlow.
Proficiency with Azure AI Services:
Azure OpenAI
Azure AI Search
Understanding of advanced AI patterns: RAG Agentic RAG MCP Functional Calling A2A.
Expertise in prompt engineering context engineering and LLM output optimization.
Experience with vector databases embedding/chunking strategies.
Familiarity with real-time data integration and streaming.
Ability to evaluate fine-tune and optimize AI models for production.
Preferred Qualifications
Experience working in financial services or other regulated industries.
Familiarity with MLOps practices and CI/CD pipelines for AI model deployment.
Knowledge of security and compliance considerations for AI in cloud environments.
Strong problem-solving and debugging skills.
Excellent communication and stakeholder management abilities.
Benefits
Experience in Java and Python. Hands-on AI application development, with a focus on cloud-based AI model integration, deployment, and optimization. Proficiency in frameworks such as Spring AI, LangChain, LangGraph, LlamaIndex, Agno, Pydantic, TensorFlow, etc. Experience with Azure AI services including Azure OpenAI and Azure AI Search. Familiarity with advanced AI architecture patterns like RAG, Agentic RAG, MCP, Functional Calling, and A2A in Azure environments. Strong skills in prompt engineering, context engineering, vector databases, embedding/chunking strategies, and real-time data integration. Experience in evaluating and optimizing model outputs.
Education
B.E/
Employment Type
Full Time
