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If you are a AI Engineer ,  and looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

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.

Check if you are up for maximizing your earning/growth potential, leveraging our Disruptive  Talent Solution.

Role:  AI Engineer Location: Weehawken, NJ Duration: 6 Months Onsite Position

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 Visit us at  http://alignity.io/careers . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D.

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Requirements 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.