AI/ ML Engineer needed in New York City, NY or Alpharetta, GA

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Delta System & Software Inc., is seeking the following. Apply via Dice today!

AI/ ML Engineer

Long term Contract

NYC, NY & Alpharetta, GA (Hybrid, 3 days in a week from office)

Locals Only - In-person Interview Is Required

Key Responsibilities

• Develop autonomous AI agents capable of planning, decision-making, and executing tasks to achieve specified user goals, with an emphasis on Python code generation for automation processes.
• Develop and Deploy LLM-Based Agents: Build scalable AI agents leveraging frameworks like LangChain, LangGraph, and custom runtimes to facilitate complex workflows and interaction models.
• Integration with External APIs & Services: Orchestrate AI agents to communicate seamlessly with enterprise APIs, databases, and cloud services, ensuring smooth operation within complex ecosystems.
• Create and optimize end-to-end pipelines for training, testing, and deploying models in production environments such as Azure ML, ensuring robustness and scalability.
• Utilize Microsoft Azure OpenAI services to build and optimize AI models.
• Contribute to building multi-agent architectures fostering emergent behaviors, robustness, and trustworthiness for autonomous operations.
• Ensure compliance with data security, privacy policies, and industry regulations.
• Stay updated with the latest trends and advancements in AI, especially related to RAG and Azure OpenAI.

Qualifications

• 8+ years of relevant experience in AI/ML, with at least 2 years focused on agentic AI, autonomous systems, or multi-agent architectures
• Hands-on experience with multi-agent systems, emergent behavior modeling, and ensuring system robustness and trustworthiness.
• Proven experience in investment banking or financial services.
• Good experience in Natural Language Processing (NLP)
• Extensive hands-on experience with Microsoft Azure OpenAI services.
• Strong understanding and practical experience with Retrieval-Augmented Generation (RAG).
• Proficiency in programming languages such as Python.
• Experience in deploying scalable, production-ready AI solutions integrated within enterprise environments
• Knowledge of AI model deployment and API integration.

Thank You

Kanishk Pratap