Agentic AI Data Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Baltimore (MD); On-site; USD 89,000 - 126,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC is seeking an Agentic AI Data Engineer in Charlotte, NC, to build GenAI data tooling and scalable ML pipelines for sensitive healthcare data. You will own labeling infrastructure and data migrations while ensuring strict authentication and data protection.

The role focuses on Python-based toolchains (FastAPI, Streamlit) and modern observability practices, enabling cross-team collaboration and measurable efficiency gains.

Qualifications

• 5+ years in software/ML infrastructure engineering.
• Experience building GenAI tools with Python, FastAPI, Streamlit.
• Experience with PII-masking pipelines and secure data handling.
• Experience maintaining labeling platforms and data migrations.

Responsibilities

• Build full-stack internal GenAI tools (Python, FastAPI, Streamlit) to enable non-engineering teams to run LLM analyses over sensitive data.
• Design and maintain MCP servers/tools with strict identity and auth checks.
• Own and evolve labeling platform infrastructure (FastAPI, Celery, Redis, Labelbox) including data migrations and on-call support.
• Migrate observability stacks to OpenTelemetry and build dashboards as code.
• Build and maintain data/ML pipelines (Airflow, Spark, Hive, Trino) for multiple business units.
• Collaborate with product and engineering leads to turn ambiguous problems into shipped features with measurable efficiency gains.

Skills

Python

PySpark

Machine Learning

API design

Tools

Airflow

Spark

Hive

Trino

Celery

Redis

Labelbox

OpenTelemetry

Job description

Job Description

Job Overview

• Job ID: J54189
• Job Title: Agentic AI Data Engineer
• Location: Baltimore, MD
• Duration: 12 Months + Extension
• Domain Exposure: Healthcare
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Details

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

Responsibilities

• 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.

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

Equal Opportunity Employer

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.