Join Hyperscience as a Senior Software Engineer to enhance document processing systems using Python and Django in a hybrid work environment.
Posted by employer 1 day ago
First seen on Joblaze 50 minutes ago
Last verified on the company career page 50 minutes ago
What you'll build
Must have
Nice to have
AI in the day-to-day
Leverage AI development tools (Claude Code, Copilot) and maintain repository agent rules and automated code review guidelines.
Requirements
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In this role, the Senior Software Engineer focuses on enhancing backend processes for document ingestion and data extraction, ensuring efficient integration with customer workflows. Proficiency in Python and Django, along with strong SQL skills, are essential for developing APIs and optimizing the human review pipeline. This position is ideal for experienced engineers with a solid background in backend development and a knack for working with machine learning models. Hyperscience fosters a collaborative environment, emphasizing innovation and flexibility in work arrangements.
Joblaze insights
Quick facts
From the original posting
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.
In this role, you will contribute across the core application and assist with customer workflow integrations.
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.
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.
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.
Hyperscience is a people-first company, committed to empowering our team to make a tangible impact. Our core values, including "Innovation that Transforms," "Lead with Trust," and a "Win Together" ethos, guide our collaborative culture. As a global organization, our benefits vary by region, but we are united by a fundamental belief in work-life flexibility. We support our team with flexible PTO and work-from-home options, recognizing the importance of a healthy balance between professional and personal life.
Health & Wellness: Supplemental Health Insurance Package including extensive medical, dental, vision, and additional life insurance offerings through UNIQA.
Sports & Fitness: MultiSport & NV Sport & Spa cards available for all BG employees and their families.
Paid Time Off (PTO): Flexible-use PTO, unaccrued and uncapped, subject to manager approval, in addition to statutory entitlements.
Parental Leave: 12 weeks of paid parental leave, with an additional of 4 weeks for birthing parents, running concurrently with and supplementing statutory entitlements.
Equity: Stock Options in the company.
Office & Flexibility: Hybrid Work Model with work-from-home flexibility.
Standard company text repeated across Hyperscience's postings is omitted here.