Hyperscience Senior Software Engineer (Backend) at Hyperscience designs and maintains backend features for document processing using ML and LLM models. The role includes developing human review pipelines and managing training data lifecycle.
Responsibilities
Hyperscience converts documents (such as insurance claims, loan applications, and benefit forms) into structured, actionable data for major enterprise systems. Our backend is a Python/Django system that ingests documents, uses ML models and LLMs for classification and extraction, routes low-confidence results to human reviewers, and exports structured data to downstream systems. Customers run Hyperscience in their own environments and build custom workflows via our Flows SDK.
Document processing: Design and maintain end-to-end processing features (ingestion, layout detection, classification, field extraction, normalization, and validation), focusing on backend orchestration and fallback logic around ML/LLM models.
Human review pipeline: Develop task routing, review logic, and APIs powering the human review UI, ensuring corrections feedback directly into model retraining datasets.
Training data & model lifecycle: Build services to store, import/export, version, and sanitize (PII deletion) training data to support custom model retraining.
APIs & integrations: Evolve versioned REST APIs (OpenAPI) and expand connectors for platforms like Salesforce and MuleSoft, alongside configuration migration tooling.
Workflows & background tasks: Optimize the workflow engine and task queue for high concurrency, minimal database round-trips, and clear error handling.
Customer workflows: Implement and review production customer workflows using the Flows SDK, channeling feedback to improve core platform APIs.
Engineering standards & AI tooling: Leverage AI development tools (Claude Code, Copilot) and maintain repository agent rules and automated code review guidelines.
Mentorship & collaboration: Perform cross-team code reviews, document system architecture, and assist peers with database query optimization and schema migrations.
Qualification
Strong SQL and database expertiseBonus QualificationsCompany Values & Perks
Required
5+ years of backend engineering experience (preferably Python).
BS in Computer Science or equivalent practical experience.
Strong SQL and database expertise: indexing, query plans, isolation levels, and locking across multiple engines.
Proven API design skills for internal and external consumers.
Strong written English skills for async collaboration across time zones.
Bonus Qualifications:
Experience delivering and supporting self-hosted software (on-premise or customer-managed cloud environments).
Deep familiarity with Django and its ORM.
Experience working with multiple database engines.
Experience integrating LLM APIs or ML models in production, including managing cost, latency, and response reliability.
Basic React/TypeScript proficiency for full-stack feature support.