About our Company

At Hyperscience, we believe that behind every document is a meaningful human experience, whether that’s a family applying for their mortgage, a patient waiting for insurance coverage, or a student waiting for their visa to study abroad. However, for far too long, organizations have relied on outdated technology and manual processes to handle these processes, driving up costs, slowing down decisions, and frustrating customers.

As a distinguished leader in its market category, including a back to back Leader in the 2025 & 2026 Gartner Magic Quadrant for Intelligent Document Processing Solutions and several other leading industry analyst reports, our technology flips the script with an AI platform that reads, understands, and processes documents at massive scale—automatically.

The Hyperscience Hypercell platform unlocks the value of an organization’s back office data through the automation of end-to-end processes, and transforms complex documents into LLM and RAG-ready data to power new enterprise GenAI experiences. This enables organizations to transform manual, siloed processes into a strategic advantage, resulting in a faster path to decisions, actions, and revenue; positive and engaging customer, public, and patient experiences; and dramatic increases in productivity.

Leading organizations including American Express, Charles Schwab, HM Revenue and Customs, Mars, Stryker, The United States Social Security Administration, The United States Department of Veterans Affairs, and several others use the Hypercell platform to achieve a faster path to decisions, dramatic increases in productivity, and unparalleled business impact.

Hyperscience is funded by top tier investors including Bessemer Venture Partners, Battery, FirstMark, Stripes, and Tiger Global.

About the Role:

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.

Key Responsibilities:

• 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.

Required Qualifications:

• 4+ 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 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.

Company Values & Perks:

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.

Benefits:

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.

[US Applicants] We are an equal opportunity employer. We welcome people of different backgrounds, experiences, abilities and perspectives. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.

[EU Applicants] All job applications will be treated and processed with strict confidentiality and in full compliance with the GDPR provisions. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI Transparency Notice We use AI tools to assist our team in screening resumes for job-related skills and qualifications, though a human recruiter ultimately reviews all applications before any hiring decisions are made. In accordance with North American, United Kingdom, and European Union (GDPR) regulations,, you have the right to request a manual review of your application or a reasonable accommodation if you prefer an alternative to automated screening. For more details on the logic used or to exercise these rights, please contact recruiting@hyperscience.ai.

Beware of recruitment fraud; all official Hyperscience communication is sent exclusively from the @hyperscience.ai domain and we never extend offers without multiple live interviews. Personal information is only requested through our secure application process or via verified background check partners during onboarding.