Senior AI/ML Full Stack Engineer

Position Overview

The team is seeking a Senior AI/ML Full Stack Engineer to design and build enterprise Generative AI solutions. This is a hands-on engineering role responsible for developing AI-powered applications that synthesize data from multiple enterprise systems and deliver conversational insights through chat-based interfaces.

The ideal candidate is an experienced AI/ML engineer who can design, build, and implement LLM-based solutions while also contributing to backend APIs and lightweight frontend development.

This is not an architect-only position. The individual must be comfortable writing production code and leading technical direction through hands-on development.

Primary Responsibilities

• Design and develop enterprise AI/ML applications using Large Language Models (LLMs)
• Build intelligent conversational applications and chatbot experiences
• Integrate LLMs with enterprise data sources using APIs
• Develop REST APIs using Python
• Connect AI solutions to SQL databases, MongoDB, and enterprise Data Lakes
• Build data pipelines that retrieve, synthesize, and summarize information from multiple systems
• Develop interactive AI experiences for project and portfolio reporting
• Help determine the enterprise AI architecture and implementation strategy
• Participate throughout the full Software Development Lifecycle (SDLC)
• Build and support CI/CD pipelines
• Deploy applications within enterprise cloud environments
• Provide technical leadership and recommend AI/ML best practices

Example Business Use Cases

The AI platform will answer questions such as:

• What projects are currently at risk?
• What are the delivery risks over the next 30/60/90 days?
• What happens if resources are moved between projects?
• How will delivery timelines be impacted?
• Generate executive reporting through conversational AI.

Required Skills

Must Have

• 2 3+ years of hands-on AI/ML engineering experience
• Strong experience with Large Language Models (LLMs)
• Prompt Engineering
• Building AI-powered applications
• Python development
• API development and integration
• SQL
• Experience integrating multiple enterprise data sources
• Full SDLC experience
• CI/CD pipelines
• Cloud experience in at least one platform:
• AWS
• Google Cloud Platform (Google Cloud Platform)
• Azure

Preferred Skills

• React.js
• Node.js
• Chatbot development
• Conversational AI
• MongoDB
• Data Lakes
• Vector databases
• Enterprise AI platforms
• Generative AI application development

Nice to Have

• Experience with Microsoft Teams applications
• Microsoft Copilot integrations
• AI Agents
• Knowledge of enterprise governance for Generative AI
• Agile/Scrum
• Leadership or technical mentoring experience

Technical Environment

AI/ML

• Large Language Models (LLMs)
• Prompt Engineering
• Conversational AI
• Enterprise AI applications

Languages

• Python (Primary)
• React (Basic understanding)
• Node.js

Databases

• SQL Server
• MongoDB
• Data Lakes
• Relational databases

Cloud

• AWS
• Azure
• Google Cloud Platform

Development

• REST APIs
• CI/CD
• SDLC