Agentic AI Data Engineer

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

Job summary

Cloud Analytics Technologies, LLC in Charlotte, NC seeks an Agentic AI Data Engineer to design and maintain scalable GenAI tooling, data and ML pipelines, and secure workflow execution from AI chat clients.

You will own labeling infrastructure, migrate observability stacks to OpenTelemetry, and partner with product and engineering to ship features with measurable efficiency gains.

Qualifications

• 5+ years in software/ML infrastructure engineering.
• Experience building GenAI tooling and internal platforms.

Responsibilities

• Build full-stack internal GenAI tools (Python, FastAPI, Streamlit) for LLM analysis over sensitive data with scalable PII-masking pipelines.
• Design and maintain MCP servers/tools enabling workflows from AI chat clients with strict identity checks.
• Own and evolve labeling platform infrastructure (FastAPI, Celery, Redis, Labelbox) including large-scale 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) across business units.
• Partner with product and engineering to turn ambiguous problems into shipped features with measurable efficiency gains.

Skills

Python

ML infra

APIs

OpenTelemetry

Data pipelines

Tools

FastAPI

Streamlit

Airflow

Spark

Hive

Trino

Celery

Redis

Labelbox

Job description

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

Job Title: Agentic AI Data Engineer
Location: Charlotte, NCDuration: 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.

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.

Some of our Business Ventures - Knowledge Analytics

Do restrictive necessities, your capability for advanced analytics or your business model need custom-made applications and infrastructure configurations? opt for our hosted managed services to urge comprehensive analytics solutions supported industry-leading Cloud Analytics Technologies, LLC code - delivered by the Cloud Analytics Technologies, LLC consultants UN agency understand these solutions best. Through a mix of with-it technology and dedicated service and support, Cloud Analytics Technologies, LLC hosted managed services will facilitate you: