Job description

AI Engineer job at Alignity Solutions. Weehawken, NJ. Do you love a career where you Experience , Grow & Contribute at the same time, while earning at least 10% above the market? If so, we are excited to have bumped onto you. Learn how we are redefining the meaning of work , and be a part of the team raved by Clients, Job-seekers and Employees. 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 . Alignity Solutions is an Equal Opportunity Employer, M/F/V/D. CEO Message: Click Here Clients Testimonial: Click Here

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