Agentic AI Data Engineer

Machine Learning Technologies, LLC; Charlotte (NC); On-site; USD 96,000 - 124,000; Full time

Job summary

Machine Learning Technologies, LLC in Charlotte, NC seeks an Agentic AI Data Engineer to build and scale internal GenAI tooling, data pipelines, and observability stacks. You will collaborate with product and engineering to translate ambiguous problems into shipped features with measurable efficiency gains.

The role emphasizes Python, FastAPI, Streamlit, Spark, Airflow, and large-scale data migrations, with a strong focus on security, identity controls, and compliant workflows across multiple

Qualifications

• 5+ years in software/ML infrastructure engineering.
• Build full-stack internal GenAI tools (Python, FastAPI, Streamlit) for non-engineering teams to run LLM analysis over sensitive data, including scalable PII-masking pipelines.
• Design and maintain MCP servers/tools enabling teams to run workflows directly from AI chat clients with strict identity and auth checks.
• Own and evolve labeling platform infrastructure (FastAPI, Celery, Redis, Labelbox), including large-scale data migrations, on-call support, and data-loss recovery.
• Migrate observability stacks from legacy tools to OpenTelemetry, building dashboards and ing as code.

Responsibilities

• Run and evolve GenAI tooling to empower internal teams.
• Maintain data/ML pipelines (Airflow, Spark, Hive, Trino) across business units.
• Collaborate with product and engineering leads to ship features with measurable efficiency gains.

Skills

Data Engineering

Python PySpark

Machine Learning

API

Streamlit

Tools

OpenTelemetry

Airflow

Spark

Hive

Trino

Labelbox

Job description

Work Authorization

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title

Agentic AI Data Engineer

Location

Charlotte, NC

Duration

12 Months + Extension

Bill Rate

$78/hour

Job Type

W-2, 1099, C2C

Client

To Be Discussed Later

Work Authorization

US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

• 5+ years in software/ML infrastructure engineering
• Build full-stack internal GenAI tools (Python, FastAPI, Streamlit) that let non-engineering teams run LLM analysis over sensitive data, including scalable PII-masking pipelines.
• Design and maintain MCP servers/tools enabling teams to run workflows directly from AI chat clients, with strict identity and auth checks.
• Own and evolve labeling platform infrastructure (FastAPI, Celery, Redis, Labelbox), including large-scale data migrations, on-call support, and data-loss recovery.
• Migrate observability stacks from legacy tools to OpenTelemetry, building dashboards and ing as code.
• Build and maintain data/ML pipelines (Airflow, Spark, Hive, Trino) supporting multiple business units.
• Partner with product and engineering leads to turn ambiguous problems into shipped features with measurable efficiency gains.

Keywords

Data Engineering, Python PySpark, Machine Learning, API, Streamlit

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.