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AI Infra Engineer

DTEL Engineering & Consultants IncUnited States🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationUnited States
FastAPIAirflowHiveLLMPythonRedisGenerative AIStreamlit

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.

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