Hyperscience Developer

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Hyperscience Developer,you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.

Work you’ll do/Responsibilities 

·Configure and develop Hyperscience pipelines for ingestion, classification, extraction, validation, and exception handling.

·Build and tune extraction approaches (templates/rules/ML-assisted) to improve accuracy, confidence scores, and straight-through processing.

·Use Python for data manipulation, automation scripts, validation utilities, API integrations, and troubleshooting/analysis.

·Integrate Hyperscience with enterprise platforms via REST APIs/webhooks, file drops (SFTP), queues, RPA, and workflow/case management tools.

·Define and implement human-in-the-loop review processes, including field-level validations and QA sampling.

·Establish testing practices (test sets, regression packs), and support release management across environments (dev/test/prod).

·Monitor production performance; triage defects, analyze root causes, and drive continuous improvements.

·Document solution designs, configurations, runbooks, and operational handoffs.

The Team

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Our AI & Data practice offers comprehensive solutions for designing, developing, and operating advanced Data and AI platforms, products, insights, and services. We help clients innovate, enhance, and manage their data, AI, and analytics capabilities, ensuring they can grow and scale effectively.

Qualifications

Required

• 3+ years of experience and hands-on IDP experience; at least 1–2 years specifically with Hyperscience

• Working Python skills (scripting, data handling, API consumption, basic debugging).

• Strong grasp of OCR/ICR concepts, document classification, key-value and table extraction, and exception workflows.

• Experience with REST APIs, JSON, authentication, and integration troubleshooting.

• Familiarity with SDLC practices: Git, environment promotion, testing discipline, and basic CI/CD concepts.

• Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience

• Limited immigration sponsorship may be available

• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.

Qualifications Preferred

• Ability to communicate effectively with business stakeholders to translate requirements into extraction logic and validations.

• Experience with workflow/case platforms (ServiceNow, Pega, Appian) and/or RPA tools (UiPath, Automation Anywhere).

• Experience with cloud platforms (AWS/Azure/GCP) and secure handling of PII/PHI (RBAC, audit logs).

• Experience operating IDP solutions at scale (high volumes, SLAs, performance monitoring).