Job Title : AI / ML Engineer
Job Location : Iselin, NJ (Hybrid, 3 days in a week from office)
Duration : Long Term
In-person Interview is required
Overview :
AI / ML Engineer will leverage advanced AI models and Azure OpenAI services to develop innovative solutions for investment banking processes. The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG).
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 :
10+ years of relevant experience in AI / ML, with at least 2 years focused on agentic AI, autonomous systems, or multi-agent architecturesHands-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 environmentsKnowledge of AI model deployment and API integration.Preferred Qualifications :
Certifications in Azure or AI-related fields.Experience with large language models (LLMs) and their application in finance.Prior experience in developing secure and scalable AI solutions.