Machine Learning Engineer

The Intersect Group; Atlanta (GA); On-site; USD 140,000 - 180,000; Full time

Job summary

The Intersect Group is seeking an Applied AI / ML Solutions Engineer in Atlanta to design, develop, and deploy production AI applications, copilots, intelligent assistants, and agent-based solutions that deliver measurable business value across the enterprise.

You will work at the intersection of software engineering, ML, generative AI, and cloud architecture, helping shape enterprise AI adoption in a large-scale environment.

Qualifications

• 8+ years in Software/Machine Learning/AI Engineering or related
• Strong hands-on Python and SQL
• Experience designing, developing, and deploying production AI apps
• Experience with Azure Databricks and cloud platforms (Azure/AWS)

Responsibilities

• Design, develop, and deploy AI-powered applications and copilots
• Transform business requirements into scalable AI architectures
• Build RAG solutions and integrate LLMs into workflows
• Develop AI solutions using Azure OpenAI, AWS Bedrock, and modern frameworks
• Integrate AI with enterprise platforms and APIs
• Establish engineering best practices for testing, deployment, monitoring
• Collaborate with data scientists, AI engineers, architects, product teams
• Mentor teammates and contribute reusable AI patterns

Skills

Python

SQL

Production AI apps

RAG architectures

CI/CD

REST APIs

Distributed systems

Cloud platforms (Azure/AWS)

Tools

Azure Databricks

Azure OpenAI / AWS Bedrock

LangChain

LangGraph

Job description

Are you passionate about building production-ready AI solutions that solve real business problems? We are seeking an Applied AI / ML Solutions Engineer to help design, develop, and deliver next-generation AI applications, copilots, intelligent assistants, and agent-based solutions that create measurable business value across the enterprise.

This is an opportunity to work at the intersection of software engineering, machine learning, generative AI, cloud architecture, and enterprise technology while helping shape the future of AI adoption within a large-scale enterprise environment.

What You'll Do

• Design, develop, and deploy AI-powered applications, copilots, conversational assistants, and agentic AI solutions
• Transform business requirements into scalable technical architectures and production-ready AI capabilities
• Build and implement Retrieval-Augmented Generation (RAG) solutions and integrate LLMs into enterprise workflows
• Develop AI-powered solutions leveraging Azure OpenAI, AWS Bedrock, and modern AI development frameworks
• Integrate AI capabilities with enterprise platforms, APIs, and operational systems
• Build secure, reliable, scalable, and supportable solutions that meet enterprise standards
• Establish engineering best practices around testing, deployment, monitoring, and operational readiness
• Collaborate closely with Data Scientists, AI Engineers, Architects, Product Teams, and Business Stakeholders
• Mentor team members and contribute to reusable AI solution patterns and frameworks

Required Qualifications

• 8+ years of experience in Software Engineering, Machine Learning Engineering, AI Engineering, or related disciplines
• Strong hands-on experience with Python and SQL
• Experience designing, developing, and deploying production AI applications
• Experience with Azure Databricks
• Experience with cloud platforms such as Azure and/or AWS
• Experience with enterprise LLM platforms including Azure OpenAI, AWS Bedrock, or equivalent
• Strong understanding of RAG architectures, vector databases, and modern AI retrieval techniques
• Experience with REST APIs, enterprise integrations, and distributed systems
• Strong software engineering fundamentals including testing, CI/CD, code quality, and deployment automation
• Experience with solution architecture and enterprise application integration

Preferred Qualifications

• Experience with LangChain, LangGraph, Semantic Kernel, Strands Agent SDK, or similar AI frameworks
• Experience building agentic AI and multi-agent systems
• Experience with React, TypeScript, Streamlit, Plotly Dash, or modern frontend frameworks
• Experience integrating with Salesforce, ServiceNow, SAP, or Microsoft 365
• Experience building reusable AI engineering frameworks and platform services

What We're Looking For

We're looking for engineers who can move beyond proofs of concept and deliver real-world AI solutions in production. The ideal candidate combines strong software engineering skills with modern AI expertise and understands how to build scalable, maintainable, and business-aligned AI systems.

If you have experience building AI copilots, RAG solutions, intelligent agents, enterprise AI integrations, and cloud-native applications, we'd love to hear from you.

Skills

#AI #GenerativeAI #MachineLearning #LLM #AzureOpenAI #AWSBedrock #Databricks #Python #RAG #LangChain #LangGraph #SemanticKernel #AgenticAI #MLOps #CloudEngineering #ArtificialIntelligence #SoftwareEngineering #Hiring #TechJobs