Senior Software Engineer, Document AI & Data Infra

Helios; New York (NY); On-site; USD 185,000 - 285,000; Full time

Job summary

Helios in New York City is seeking a senior engineer to lead the acquisition and processing infrastructure for our Proxi platform. You will own end-to-end data ingestion from source discovery through normalization and publication, with a focus on multilingual, multi-format data.

You will build crawlers, scale distributed processing, ensure provenance and security, and work closely with the CTO and founding team during deployment cycles in a fast-moving startup environment.

Qualifications

• Experience building large-scale acquisition or document-processing systems.
• Experience with multilingual sources and international data.
• Ability to operate in production-grade pipelines with fault tolerance.

Responsibilities

• Expand Proxi’s ingestion and document-processing platform from source acquisition through downstream publication.
• Construct crawling and connector infrastructure required to discover, acquire, and continuously maintain international data sources.
• Scale the distributed processing environment that supports document conversion, extraction, transcription, enrichment, replay, and backfills.
• Establish common data contracts that normalize heterogeneous and multilingual sources without discarding their jurisdictional context or provenance.
• Maintain pipeline reliability, security, observability, and cost efficiency while ensuring corrections propagate through every downstream system.
• Build and operate real-time audio intelligence pipelines for low-latency multilingual transcription, speaker attribution, timestamp alignment, and confidence-calibrated tone analysis across live and recorded media.

Skills

Open-source data pipelines

Multilingual processing

NLP/AI systems

Distributed systems

Job description

Helios in New York City is seeking a senior engineer to lead the acquisition and processing infrastructure for our Proxi platform. You will own end-to-end data ingestion from source discovery through normalization and publication, with a focus on multilingual, multi-format data.

You will build crawlers, scale distributed processing, ensure provenance and security, and work closely with the CTO and founding team during deployment cycles in a fast-moving startup environment.