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Agentic AI Data Engineer

Robotics Technologies · Baltimore, MD, US

Spotted 24m ago

Job details

Level
Senior
Experience
5+ years
Posted
Nov 6, 2026
Last confirmed open
Nov 6, 2026
Job function
Software/Internet/AI › Data & Analytics › Data Engineer
Job description

About this role

  • 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 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.

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.

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