Staff/Senior Software Engineer, Document Intelligence & Data Infrastructure (Helios)
Unusual, New York, New York
- Pay
- Not listed by the employer
- Work type
- Onsite
- Level
- Staff
- Area
- Infra, platform & SRE, Data engineering, Inference & ML systems
- Posted
- Sep 16, 2026
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About the role
Staff/Senior Software Engineer, Document Intelligence & Data Infrastructure
New York City | Full-time | On-site in SoHo, five days per week
Reports to the CTO and works directly with the founding team
ABOUT HELIOS
Helios is building a new kind of company to solve America’s hardest problems, starting with the government interaction layer.
Government shapes every consequential market, but the infrastructure connecting public institutions and private organizations remains fragmented, manual, and difficult to navigate. Helios is rebuilding that layer.
Our core platform, Proxi, gives organizations the intelligence they need to understand what government is doing, why it matters, and what to do next. From that foundation, we design and deploy secure, mission-specific systems for government agencies, enterprises, and institutions operating in complex and highly regulated environments.
We bring together frontier AI, deep public-sector expertise, and forward-deployed execution. Our team includes leaders and builders from the White House, U.S. Department of State, Datadog, and Microsoft. We are backed by leading institutional investors and trusted by organizations working on high-stakes problems across government and industry.
MISSION
Build and operate the acquisition and processing infrastructure that turns global public-sector and open-source data into reliable, searchable intelligence. This role owns the path from source discovery and collection through normalization, extraction, enrichment, and publication. You will expand our platform to include new countries, languages, institutions, and source formats covering many additional areas of open source intelligence to advance Proxi’s natural capabilities. We are looking for a senior engineer who has built and operated large-scale acquisition or document-processing systems in production.
Expected areas of expertise: -
Web crawlers and connectors for continuously changing international sources.
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Fault-tolerant pipelines with reliable scheduling, recovery, replay, and backfill capabilities.
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Processing complex documents, structured files, images, audio, and video across languages.
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Stable schemas, source lineage, correction propagation.
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Operating secure, observable, scalable, and cost-efficient processing systems across cloud and restricted environments.
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Document conversion, OCR, layout analysis, and structural extraction across complex file formats.
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Multilingual audio, video, and document processing with reliable alignment and attribution.
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Scalable inference infrastructure for batch and real-time processing across CPU and GPU workloads.
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End-to-end provenance, versioning, correction propagation, and reproducible reprocessing.
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Listed on Unusual's Lever job board; checked 4 h ago. First seen by us 31 h ago. Being listed doesn't mean the team is actively interviewing. We found this board in a public directory and haven't yet confirmed it against the company's own careers page.