Live opening · Posted 9 days ago

Software Engineer

Segmental AI · United States (Remote)
Linkedin No
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At a glance

The key details from the original listing.

Posted 9 days ago
CompanySegmental AI
LocationUnited States (Remote)
Work modeNo
SourceLinkedin
Listed9 days ago

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About the role

Description supplied by the original job listing.

Company Description Segmental AI transforms institutional knowledge into shared infrastructure that enables trusted, consistent operations in Agentic Finance. The company delivers an AI-powered data pipeline that extracts insights from any document format with high accuracy, speed, and security. Its solution optimizes how enterprises use large language models for unstructured data, offering superior performance at significantly lower costs. Segmental’s distributed architecture processes thousands of documents in real time, with built-in validation that achieves predictable accuracy and bank-grade security. Finance controller groups and enterprise leaders rely on Segmental AI to eliminate manual tasks, save team bandwidth, and drive precise execution.
Role Description This is a full-time, remote Software Engineer role. The Software Engineer will design, build, and maintain back-end services and data pipelines that power Segmental AI’s intelligent data transformation platform. Responsibilities include developing production-grade software, optimizing performance for large-scale document processing, and implementing secure, reliable APIs and integrations. The role involves collaborating with cross-functional partners to translate business and product requirements into technical solutions, writing clean, testable code, and participating in code reviews and architecture discussions. The Software Engineer will also help improve tooling, monitoring, and deployment processes to ensure high availability, scalability, and security.
Qualifications
Strong foundation in Computer Science, including data structures, algorithms, and systems design.
Proficiency in Coding Agent, Software Development and Programming, with experience building production-quality applications.
Familiarity with cloud platforms, distributed systems, and containerization (e.g., AWS/GCP/Azure, Kubernetes, Docker).
Knowledge of security best practices and interest in building solutions for financial or enterprise environments.
Ability to work independently in a remote setting, communicate clearly, and collaborate with diverse teams.
Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.

Work arrangement
No

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