Software Engineer

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August 3

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Invisible Technologies Inc.

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Artificial Intelligence • SaaS • Enterprise

Invisible Technologies Inc. is a rapidly growing company that integrates world-leading AI with global human talent to enable AI adoption for enterprises. By combining artificial intelligence with human expertise in an integrated platform, Invisible Technologies focuses on training AI models, automating processes, and enhancing digital operations. The company's services include AI training, enablement, and intelligent operations solutions, catering to various industries such as financial services, healthcare, eCommerce, and technology. With significant growth recognized by the Deloitte Technology Fast 500 in 2024, Invisible Technologies helps organizations achieve transformational outcomes and significant ROI through expert process automation and AI solutions.

51 - 200 employees

Founded 2015

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

📋 Description

• The R&D Software Engineer Specialist develops and tests innovative software solutions, with a focus on AI enablement. • Develop and test software: coding, debugging, and ensuring high-quality functionality. • Design and implement RESTful/GraphQL APIs with proper documentation. • Create responsive UI components and implement state management (if applicable). • Implement code & unit tests: write features and their immediate automated tests. • Design database schemas and optimize database queries. • Integrate with existing services: verify compatibility with APIs, schemas, and UIs. • Configure CI/CD pipelines and support deployment processes. • Connect with third-party services and external APIs. • Implement legacy system integration or migration strategies. • Update release notes: document changes and any user-visible impact. • Participate in code reviews to improve code quality. • Write integration and end-to-end tests. • Perform load/stress testing as needed. • Bug resolution across severity levels. • Maintain and improve code coverage metrics. • Implement authentication, authorization, and data protection measures. • Address security vulnerabilities. • Optimize application performance (load times, rendering, resource usage). • Conduct performance profiling and implement improvements. • Document development processes: produce clear records of coding practices, testing procedures, and system architecture. • Draft technical design: capture architecture, data flow, and risk trade-offs. • Refine acceptance criteria: ensure "done" is clearly defined and testable. • Research and evaluate new technologies with proof-of-concept implementations. • Implement data transformation pipelines and ETL processes. • Create data migration scripts. • Optimize data storage and retrieval mechanisms. • Design and implement data access layers. • Assist with infrastructure-as-code implementation. • Set up monitoring and alerting. • Support container orchestration (Docker, Kubernetes). • Demo for stakeholders: gather quick feedback and sign-off before release. • Technical debt reduction. • Refactor code for improved maintainability. • Document RCAs and infrastructure improvement opportunities.

🎯 Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience). • Experience with at least one programming language such as Python, Java, or C++. • Some exposure to AI-related projects, particularly in AI enablement. • Eagerness to learn and take on new challenges.

🏖️ Benefits

• As a contractor you’ll supply a secure computer and high-speed internet. • Company-sponsored benefits such as health insurance and PTO do not apply.