Agentic AI Data Engineer

Robotics Technologies is hiring an Agentic AI Data Engineer to develop internal GenAI tooling and the supporting data and ML infrastructure.

Responsibilities

• Build full-stack internal GenAI tools using Python, FastAPI, and Streamlit so non-engineering teams can run LLM analysis over sensitive data
• Implement scalable PII-masking pipelines to support analysis workflows on regulated information
• Design and maintain MCP servers/tools that allow teams to run workflows directly from AI chat clients, with strict identity and auth checks
• Own and evolve labeling platform infrastructure including FastAPI, Celery, Redis, and Labelbox
• Support large-scale data migrations, including on-call support and data-loss recovery for labeling operations
• Migrate observability stacks from legacy tooling to OpenTelemetry, including dashboards and infrastructure-as-code
• Build and maintain data/ML pipelines using Airflow, Spark, Hive, and Trino across multiple business units
• Partner with product and engineering leads to turn ambiguous problems into shipped features with measurable efficiency gains

Requirements

• 5+ years in software and/or ML infrastructure engineering

Technology Stack

• Python, FastAPI, Streamlit, MCP
• Celery, Redis, Labelbox
• OpenTelemetry
• Airflow, Spark, Hive, Trino

Location

• Baltimore, MD (onsite)
• Charlotte, NC

Job Details

• Job ID: J54189
• Job type: contract
• Duration: 12 Months + Extension
• Compensation: USD 78 per hour
• Employment type: W-2, 1099, C2C
• Domain exposure: Healthcare
• Client: To Be Discussed Later

Work Authorization

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