Apptad-AI ML Engineer

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 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.

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.