Agentic AI Engineer for Enterprise Workflows

Machine Learning Technologies, LLC; Atlanta (GA); On-site; USD 120,000 - 160,000; Full time

Job summary

Machine Learning Technologies, LLC in Atlanta seeks an experienced AI/ML engineer to drive embedded discovery and solution delivery. You will translate business requirements into technical specifications, acceptance criteria, and incremental delivery plans, while identifying when deterministic logic, automation, or AI agents are appropriate.

Responsibilities include building production-grade backend services, Databricks notebooks, and SQL transformations, with a focus on data quality,

Qualifications

• Proficiency in translating business needs into technical specs and acceptance criteria.
• Experience building production-grade backend services and data-processing components.
• Familiarity with AI governance, tool contracts, and safety considerations.

Responsibilities

• Partner with business users to understand workflows, pain points, and outcomes.
• Translate requirements into user stories, testable criteria, and delivery plans.
• Develop bounded AI capabilities with structured outputs, prompt versioning, and evidence-backed results.
• Build production-quality backends, Databricks notebooks/jobs, and SQL transformations for data processing.
• Implement data-quality checks, schema validation, deduplication, and traceable processing rules.
• Collaborate on reviewer-facing interfaces and end-to-end application behavior.
• Ensure least-privilege access, secure authentication, and secrets management.

Skills

AI/ML concepts

Backend development

APIs

Data processing

Testing/QA

Education

Bachelor's degree in CS/EE/Math

Tools

Databricks

SQL

Python

APIs

Job description

Machine Learning Technologies, LLC in Atlanta seeks an experienced AI/ML engineer to drive embedded discovery and solution delivery. You will translate business requirements into technical specifications, acceptance criteria, and incremental delivery plans, while identifying when deterministic logic, automation, or AI agents are appropriate.

Responsibilities include building production-grade backend services, Databricks notebooks, and SQL transformations, with a focus on data quality,