Globalme (now Summa Linguae Technologies)
51 - 200 employees
🤖 Artificial Intelligence
🤝 B2B
💼 Consulting
Artificial Intelligence • B2B • Consulting
Globalme (now Summa Linguae Technologies) is a provider of human-generated multilingual data and language services that supports AI development and global communications. The company delivers ethically sourced training datasets (speech, text, image, and video), localization and translation services, and managed services such as project management and staffing to help businesses scale multilingual products and AI systems. The firm has repositioned parts of its offering under the DATAmundi/DATAmundi. ai brand to emphasize AI data services while retaining Summa Linguae Technologies as its legal name.
Software Engineer – AI-Assisted Full-Stack Development
Job not on LinkedIn
🔥 3 hours ago
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Globalme (now Summa Linguae Technologies)
51 - 200 employees
🤖 Artificial Intelligence
🤝 B2B
💼 Consulting
Artificial Intelligence • B2B • Consulting
Globalme (now Summa Linguae Technologies) is a provider of human-generated multilingual data and language services that supports AI development and global communications. The company delivers ethically sourced training datasets (speech, text, image, and video), localization and translation services, and managed services such as project management and staffing to help businesses scale multilingual products and AI systems. The firm has repositioned parts of its offering under the DATAmundi/DATAmundi. ai brand to emphasize AI data services while retaining Summa Linguae Technologies as its legal name.
📋 Description
• Design, develop, and maintain scalable web applications using Python, FastAPI, React, JavaScript or TypeScript, and Node.js • Design and implement REST or GraphQL APIs, including schemas, resolvers, authentication, authorization, validation, and error handling • Use Claude Code or similar AI coding agents to accelerate development while maintaining code quality, security, test coverage, and maintainability • Work with SQL and NoSQL databases, including data modelling, migrations, query optimization, and performance troubleshooting • Use message queues such as RabbitMQ for asynchronous processing, background jobs, and parallel workloads • Investigate and resolve complex bugs, production issues, and performance bottlenecks • Write technical documentation for APIs, system behaviour, and implementation decisions • Write and maintain unit, integration, API, and end-to-end tests • Participate in code reviews and maintain engineering and quality standards • Validate AI-generated code through testing, review, security checks, and performance analysis • Work with Git and GitHub using feature branches, pull requests, code reviews, and documented release processes • Contribute to CI/CD pipelines and support application deployment and maintenance in cloud environments • Work with containers, environment configuration, secrets, networking, databases, application services, and deployment pipelines • Use monitoring, logging, error-tracking, and session-replay tools to diagnose production issues • Work as part of an Agile Scrum team and participate in sprint planning, backlog refinement, stand-ups, reviews, and retrospectives • Break requirements into estimable technical tasks and communicate progress, risks, dependencies, and blockers • Collaborate with product managers, engineers, QA specialists, data scientists, and external development partners • Work independently in a remote environment while seeking clarification when needed
🎯 Requirements
• Practical software design and development experience through professional work, internships, academic projects, open-source contributions, or a strong technical portfolio • Experience using Claude Code or a similar AI coding agent to build, debug, test, or maintain software • Proficiency in Python and experience with FastAPI or a comparable Python web framework • Experience with React and JavaScript or TypeScript • Experience building back-end services using Node.js, Python, or both • Understanding of REST or GraphQL API design; proficiency in both is not required • Experience writing unit and integration tests • Understanding of relational databases and SQL • Familiarity with Git, GitHub, pull requests, and code-review workflows • Understanding of maintainability, modularity, security, and separation of concerns • Strong analytical, problem-solving, and communication skills • Ability to work independently in a remote environment • Professional working proficiency in English • Desired experience with GraphQL schemas, queries, mutations, subscriptions, and resolvers • Desired familiarity with Playwright, CI/CD platforms, cloud deployment, Docker, observability tools, message queues, AI/ML model integration, authentication, access control, API security, and Agile Scrum • Bachelor’s degree in Computer Science, Software Engineering, or a related technical discipline is preferred; equivalent practical experience, demonstrable projects, or a strong technical portfolio will also be considered
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