Zealogics Inc

Solutions Engineer

• Architect and hands-on build a ground-up publication management platform supporting bibliographic data, curation workflows, reporting, and integrations.
• Define and implement the overall system architecture, including application, data, integration, and security layers.
• Actively write, review, and maintain production-quality code, setting standards and best practices for the development team.
• Select and implement modern technology stacks, frameworks, and architectural patterns.
• Design and develop scalable APIs and integration patterns with upstream and downstream systems.
• Build and optimize data models and persistence layers for complex metadata and reporting needs.
• Design and implement AI-enabled features, such as metadata enrichment, publication matching, intelligent curation assistance, data validation, and workflow automation.
• Collaborate closely with business analysts, developers, and stakeholders to translate requirements into working solutions.
• Ensure solutions meet security, governance, privacy, and compliance standards.
• Provide architectural guidance while remaining deeply engaged in implementation through all phases of development.

Solutions Architect

Full-stack Engineer

• Design and develop end-to-end features across frontend, backend, and data layers.
• Build modern, responsive user interfaces for publication management and curation workflows.
• Develop and maintain backend services, APIs, and business logic.
• Collaborate with architects to implement modern architectural patterns and design standards.
• Translate business and user requirements into usable technical solutions.
• Implement data models and persistence for complex bibliographic and metadata-driven systems.
• Integrate with internal and external systems.
• Write clean, testable, and well-documented code.
• Participate in code reviews and contribute to engineering best practices.
• Troubleshoot, optimize, and improve application performance and usability.

Senior Full Stack Software Engineer

QA Engineer

• Develop and execute test plans, test cases, and test scenarios for functional, regression, integration, and user acceptance testing.
• Validate end-to-end workflows including publication ingestion, metadata management, curation, reporting, and integrations.
• Perform manual testing across UI, API, and backend components.
• Design, develop, and maintain automated test scripts for UI and API testing.
• Participate in requirements and design reviews to ensure testability and quality considerations.
• Identify, document, and track defects, and work closely with development teams for resolution.
• Validate data accuracy, integrity, and reporting outputs.
• Support testing across multiple environments and deployment phases.
• Ensure non-functional requirements such as usability, accessibility, performance, and security are addressed as needed.

Business Analyst

• Lead requirements gathering efforts for the design and development of a publication management system.
• Engage with diverse stakeholders, including researchers, faculty, librarians, compliance teams, and IT staff, to elicit, analyze, and document business and functional requirements.
• Translate complex scientific, bibliographic, and compliance needs into clear, actionable requirements for technical teams.
• Facilitate workshops, interviews, and working sessions to drive consensus across multiple stakeholder groups.
• Develop detailed artifacts such as BRDs, functional specifications, user stories, workflows, and process maps.
• Support validation of requirements through design reviews, testing, and user acceptance activities.
• Act as a liaison between business stakeholders and development teams throughout the project lifecycle.

Business Analyst – Publication Management Systems

• Architect, design, and implement scalable full stack applications with integrated AI/ML capabilities
• Lead technical teams, mentor junior engineers, and establish best practices in AI-driven development
• Design and optimize API integrations with OpenAI, Azure Cognitive Services, AWS AI/ML stack, and Google Vertex AI
• Collaborate with stakeholders to align AI solutions with business goals and compliance standards
• Ensure robust monitoring, logging, and governance of AI API usage
• Evaluate emerging AI APIs and frameworks for adoption in enterprise projects

Senior Full Stack Engineer, AI Specialist

QA Automation Engineer

• Own the end-to-end architecture of the AI automation pipeline, focusing on three core pillars: Perception & Data Synthesis, AI Orchestration & Prompt Engineering, and Dynamic Execution & Runtime.
• Develop robust mechanisms to traverse and extract data from complex, multi-layered Windows UI trees.
• Design intelligent "Signal-to-Noise" filtering algorithms to sanitize UI data.
• Architect sophisticated prompt strategies to guide LLMs in generating high-quality automation code.
• Build a dynamic execution engine capable of compiling and running AI-generated code in real-time within memory.

Principal AI Automation Engineer – Lead

Frontend Engineer

• Design, develop, and maintain scalable full-stack applications using modern frameworks (React, Node.js or Python)
• Develop AI-driven microservices that interact with multiple data sources and APIs (RAG/KAG, Azure OpenAI, etc.)
• Implement multi-tenant architectures, role-based access, and data visualization dashboards
• Collaborate with AI engineers to build intelligent workflows that use embeddings, vector stores, and adaptive reasoning chains
• Optimize front-end performance and ensure responsive design using modern UI frameworks
• Manage deployment pipelines using Docker, Kubernetes, and Azure DevOps
• Write clean, testable, and maintainable code aligned with coding best practices

Full Stack AI Developer, React/Angular

Engineer

• Responsible for all phases of CICS engineering, system and software maintenance, and CICS related operational functions.
• Comfortable working with CICS in a 24x7 large scale Sysplex and CICSPlex environment.
• Interface with application developers and operations teams.
• On-call support and maintenance outside of normal working hours are needed to support the CICS environment and to resolve issues.

Mainframe CICS Engineer

DevOps Engineer

• Collaborating closely with Product Owners, the System Specialist, DevOps oversees the day-to-day configuration (including coding) and support responsibilities for these products.
• Manage users, groups, and projects.
• Provide technical leadership in developing and validating improved processes, technologies, and large-scale systems for customers and stakeholders.
• Coordinate the installation of upgrades and patches.
• Support DevOps practices for project teams utilizing Azure DevOps, Fortify, GitHub, and Mend.
• Liaise with Product Owners to provide system data to internal Compliance Teams during scheduled and ad-hoc audits.
• Spend up to 20% of the time managing and coaching the Support Teams and the end-user community.