Agentic AI Data Engineer

Quantum Technologies. LLC; Charlotte (NC); On-site; USD 91,000 - 124,000; Full time

Job summary

Quantum Technologies. LLC in Charlotte, NC is hiring an Agentic AI Data Engineer to build GenAI tooling and scalable data pipelines for sensitive data analysis.

You will own labeling infrastructure and observability migrations, collaborating with product and engineering to deliver features that improve efficiency across business units.

Qualifications

• 5+ years in software/ML infrastructure engineering.
• Build full-stack internal GenAI tools (Python, FastAPI, Streamlit) for LLM analysis over sensitive data.
• Design and maintain MCP servers/tools with identity and auth checks.
• Own and evolve labeling platform infrastructure (FastAPI, Celery, Redis, Labelbox).
• Migrate observability stacks to OpenTelemetry and build dashboards.
• Build and maintain data/ML pipelines (Airflow, Spark, Hive, Trino).
• Partner with product and engineering leads to ship features with measurable efficiency gains.

Responsibilities

• Architect and implement GenAI tooling for internal teams.
• Develop data/ML pipelines and ensure data quality and governance.
• Manage observability and monitoring across systems using OpenTelemetry.
• Integrate labeling workflows and ensure scalable migrations.
• Collaborate with stakeholders to turn problems into shipped features.
• Maintain security and access controls across pipelines and tools.
• Provide on-call support and data-loss recovery.

Skills

Data engineering

Python PySpark

Machine Learning

API

Streamlit

Tools

FastAPI

Celery

Redis

Labelbox

Airflow

Spark

Hive

Trino

OpenTelemetry

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.