Agentic AI Data Engineer

Valiant Technologies LLC; Charlotte (NC); On-site; USD 89,000 - 126,000; Full time

Job summary

Valiant Technologies LLC in Charlotte, NC seeks an Agentic AI Data Engineer to design and build GenAI tooling, data pipelines, and observability improvements. You will own data labeling infrastructure and support secure, scalable AI workflows across business units.

You will collaborate with product and engineering leads to translate complex problems into tangible features, focusing on performance, reliability, and data integrity in a fast-paced environment.

Qualifications

• 5+ years in software/ML infrastructure engineering.
• Experience building full-stack internal GenAI tools (Python, FastAPI, Streamlit).
• Design and maintain data and ML pipelines and observability stacks.

Responsibilities

• Build full-stack internal GenAI tools enabling non-engineering teams to run LLM analysis over sensitive data, including scalable PII-masking pipelines.
• Design and maintain MCP servers/tools with strict identity and auth checks to run workflows from AI chat clients.
• Own and evolve labeling platform infrastructure (FastAPI, Celery, Redis, Labelbox) and manage large-scale data migrations and on-call support.
• Migrate observability stacks to OpenTelemetry, build dashboards and infrastructure-as-code for monitoring.
• Build and maintain data/ML pipelines (Airflow, Spark, Hive, Trino) across multiple business units.
• Collaborate with product and engineering leads to turn ambiguities into shipped features with measurable efficiency gains.

Skills

Python

Machine Learning

API development

Data analysis

Tools

FastAPI

Streamlit

Airflow

Spark

Hive

Trino

Redis

Celery

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.