AI/ML Engineer (REMOTE)
American IT Systems•Atlanta, GA
•Remote
About The Position
We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.
Requirements
- Python: Advanced proficiency; production experience with APIs, async processing, and testing
- AI / LLM Agents: Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool using agents, planners, orchestrators)
- MCP (Model Context Protocols): Experience with agent communication, coordination frameworks, or protocol driven AI architectures
- Data Management: Data modeling and data pipelines
- Working with SQL and NoSQL databases
- Experience with data quality, governance, and large‑scale datasets
- Cloud Experience: Hands on work in at least one major cloud platform (Azure, AWS, or GCP)
- Experience with cloud storage, compute, and managed services
- Familiarity with CI/CD and cloud native deployment patterns
- Strong documentation and communication skills
- Experience collaborating with remote and cross functional teams
Nice To Haves
- Experience with vector databases and embeddings
- Familiarity with MLOps or LLMOps practices
- Experience with streaming data or event driven architectures
- Knowledge of security and compliance considerations for AI systems
- Prior work in enterprise or large-scale data management
- Healthcare or other data regulated experience preferred
- Google ADK, Copilot Studio
- Google Cloud or Azure preferred
- Big Query, Fire store, Cloud SQL, etc.
- Dataflow
- Power Automate
- UI Path, etc.
- Azure DevOps Pipeline
- Terraform
Responsibilities
- Design, build, and maintain Python based services and automation workflows
- Implement MCP for agent communication, control, and observability
- Build, transform, and manage data pipelines supporting AI and analytics use cases
- Deploy, monitor, and optimize solutions in cloud environments
- Collaborate with product, data, and engineering teams to deliver end-to-end solutions
- Ensure code quality, performance, security, and maintainability
Benefits
- medical
- vision
- dental
- life
- disability insurance
- paid time off (including holidays, parental leave, and sick leave, as required by law)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
