Agentic AI Data Engineer

Artifintech; Charlotte (NC); On-site; USD 91,000 - 124,000; Full time

Job summary

Artifintech in Charlotte, NC is seeking an experienced Data Engineer to build GenAI tooling and scalable data pipelines for cross-functional teams.

You will own labeling infrastructure, observability migration to OpenTelemetry, and secure, privacy-conscious data workflows while collaborating with product and engineering.

Qualifications

• 5+ years in software/ML infrastructure engineering.
• Experience building GenAI tooling for non-engineering teams.
• Strong data pipelines and observability expertise.

Responsibilities

• Build full-stack internal GenAI tools for running LLM analysis over sensitive data.
• Design MCP servers with strict identity and auth checks.
• Own labeling platform infra including migrations and on-call support.
• Migrate observability stacks to OpenTelemetry and build dashboards.
• Develop data/ML pipelines (Airflow, Spark, Hive, Trino) for multiple business units.
• Collaborate with product and engineering leads to ship features with measurable gains.

Skills

GenAI tooling

Python

FastAPI

Streamlit

Data pipelines

OpenTelemetry

Labeling platform

Celery

Redis

Spark

Airflow

Hive

Trino

Tools

Python

FastAPI

Streamlit

Celery

Redis

Labelbox

OpenTelemetry

Airflow

Spark

Hive

Trino

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.