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Innodata

Delivers AI data engineering services

Forward Deployed Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • At least 5 years of experience building and shipping production software.
  • An active Top Secret clearance with SCI eligibility; U.S. citizenship is required.
  • Strong backend skills in a modern systems or application language; the team primarily works in Rust and can support ramp-up.
  • Solid SQL and PostgreSQL fundamentals, including indexing, transactions, and query performance.
  • Proficiency with TypeScript and React, and the ability to build clean, responsive user interfaces.
  • Experience deploying and running services with Docker and Kubernetes.
  • Ability to explain technical work clearly to customers and non-technical stakeholders.
  • Ability to travel to customer sites.

Responsibilities

  • Build features end to end across the Rust backend and TypeScript/React frontend, from the data model and APIs to a polished, interactive web application.
  • Design data models, APIs, and ingestion pipelines that are fast and reliable at scale.
  • Help deploy, configure, and support the platform in cloud and customer environments, including AWS GovCloud, on-premises Kubernetes, and air-gapped or classified networks.
  • Build data connectors and integrations that bring customer data into the platform and fit it to their workflows.
  • Join customer conversations, demos, and occasional on-site visits to understand how the product is used, and turn that feedback into product improvements.
  • Contribute to architecture, code quality, performance, and security as the product grows.

Desired Qualifications

  • Customer-facing, consulting, or solutions-engineering experience.
  • Experience deploying software in classified, air-gapped, or other regulated environments.
  • Experience with AWS/EKS, including GovCloud, infrastructure-as-code, and STIG or RMF.
  • Experience with data-intensive applications, data pipelines, or Python for data work.
  • Familiarity with AI training data, annotation, or data-labeling workflows.

About the Company

Innodata

Delivers AI data engineering services

Innodata is a global data engineering firm that provides AI-enabled software platforms and managed services to create high-quality training data and data pipelines for AI and generative models. It combines proprietary technology with a worldwide workforce of experts to perform data collection, creation, annotation, synthetic data generation, model deployment, and evaluation. Its core DDS segment, along with Synodex and Agility, offers domain-specific data, healthcare data transformation, and media monitoring capabilities. The company aims to enable reliable, safe, and effective AI systems by supplying training data and end-to-end AI lifecycle services across multiple industries.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Ridgefield Park, NJ
Founded
1988

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