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Innodata Inc.

Backend / Integration Engineer

Hybrid - Washington D.CmidAdded today

About this role

Innodata seeks a Backend/Integration Engineer to build the connective infrastructure for a secure federal data platform. You'll develop REST API integrations with Databricks, ServiceNow, and synthetic data generation tools, managing async job pipelines and data governance within a federal IL4 environment over a 20-week engagement.

What you'll do

  • Implement Databricks REST API write-back for labeled outputs and synthetic content
  • Build Duality backend integration with async job lifecycle management and retry logic
  • Develop ServiceNow REST integration for intake routing
  • Create and maintain storefront backend services and API layer
  • Design async job queue management across all integration surfaces
  • Structure output metadata for DataCard provenance records per DoD requirements

What they're looking for

  • Python backend development (production-grade)
  • REST API integration and async patterns
  • Databricks REST API or Spark platform experience
  • JSON schema design and metadata handling
  • Async job lifecycle management (submission, polling, retry)
  • Federal data environment familiarity
  • ServiceNow API integration (nice-to-have)
  • Error handling and retry logic design

Benefits

  • Hybrid work arrangement in Washington D.C.
  • $75–$80 per hour based on experience
  • Work on cutting-edge AI/data infrastructure
  • Collaboration with Solution Architects
  • Federal clearance-eligible opportunity
  • 20-week focused engagement with clear deliverables
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Innodata Inc.

Innodata builds AI data infrastructure and solutions, specializing in LLM post-training pipelines, physical AI datasets for robotics, and audio/speech datasets for foundation models. The company is hiring AI/ML engineers, robotics solutions specialists, research engineers, and audio engineers to design data systems, evaluation frameworks, and quality assurance processes that enable cutting-edge AI model development.

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Likely interview questions

  • Walk us through your experience designing and implementing async job lifecycle management—specifically how you've handled retries, polling, and error states in production systems.
  • Describe a complex REST API integration you've built. How did you manage parameter translation between systems and ensure reliable data flow?
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