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Torch.AI is building the AI Control Layer for the United States Government, providing foundational data and intelligence infrastructure to make sense of complex, multi-domain data at machine speed. Their platform (ORCUS, NEXUS, and HALO) is accredited, deployed, and operating today across enterprise clouds and tactical edge environments, supporting various operations like multi-INT fusion, predictive movement analysis, targeting workflows, anomaly detection, and decision support for cross-domain operations. The company seeks candidates who want to build systems that operate under real constraints such as degraded visibility, adversarial mis/disinformation, intermittent connectivity, low-SWaP hardware, and seconds-to-decision timelines, emphasizing operational AI that ships, runs, and gets used to strengthen U.S. defense readiness and protect national interests. Torch.AI believes the government must own its data, decision environment, and reasoning infrastructure, with their AI Control Layer increasing the value of existing systems. They measure performance by accuracy, latency, and efficiency, fostering a fast-paced, entrepreneurial, and mission-driven environment where engineers collaborate with data experts, veterans, and mission practitioners, owning meaningful work and seeing systems deployed in production, often within weeks. This role specifically focuses on building production-grade software systems that ingest, process, and enrich large volumes of real-world data to support mission-critical decision making. You will develop scalable data pipelines and backend services that transform diverse, multi-source information into structured, actionable insights, with a strong emphasis on reliability, adaptability, and operational security within controlled environments that require careful handling of access patterns, attribution, and compliance constraints.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees

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