[Hiring] Senior Full-Stack Software Engineer @24-MAG

Role Description

We are sharing a specialised consulting opportunity for experienced Full-Stack Software Engineers with strong expertise across front-end and back-end development, application architecture, debugging, APIs, databases, service integration, and multi-language software engineering to contribute to an advanced AI training and software-evaluation project.

Selected professionals will create, solve, review, and validate challenging software-engineering tasks across complete application stacks. The work requires hands-on experience across both front-end and back-end systems, strong debugging skills, and the ability to navigate unfamiliar repositories and evaluate code for correctness, performance, security, and maintainability.

Key Responsibilities

• Full-Stack Development & Integration
  • Develop and modify front-end and back-end application components
  • Build user-facing features, APIs, services, and supporting data models
  • Work across browser applications, databases, external integrations, and service layers
  • Manage application state, authentication, persistence, and client-server interactions
  • Implement changes that fit existing architecture and coding conventions
• Debugging & Architecture
  • Diagnose failures involving application state, APIs, networking, authentication, databases, and deployment
  • Trace requests and data across system boundaries to identify root causes
  • Work effectively within unfamiliar repositories and understand existing architecture
  • Evaluate architectural fit, system dependencies, and implementation trade-offs
  • Develop technically sound and maintainable fixes
• Multi-Language Engineering & Testing
  • Review and modify code across Python, JavaScript, TypeScript, Java, Node.js, Rust, Go, or comparable technologies
  • Translate software implementations between languages where required
  • Preserve intended behaviour and architectural constraints
  • Develop or review unit, integration, regression, and end-to-end tests
  • Validate fixes and identify missing test coverage
• AI-Generated Code Evaluation
  • Review AI-generated solutions for correctness, completeness, performance, security, and maintainability
  • Identify implementation or architectural weaknesses
  • Assess whether solutions fit repository conventions
  • Provide structured technical feedback
  • Document important engineering decisions and findings clearly

Qualifications

• Strong professional experience developing production full-stack applications
• Meaningful hands-on experience with both front-end and back-end engineering
• Production experience with multiple programming languages
• Strong knowledge of browser applications, APIs, databases, application state, and service integration
• Experience contributing to complete software-system architecture
• Ability to work effectively in unfamiliar codebases
• Strong debugging and technical problem-solving skills
• Experience with Python, JavaScript, TypeScript, Java, Node.js, Rust, Go, or comparable languages
• React experience is valuable
• Ability to evaluate code for correctness, security, performance, and maintainability
• Experience translating implementations between programming languages is advantageous
• No prior AI-training or model-evaluation experience is required

Engagement Details

• Part-time independent contractor engagement
• Fully remote and open globally
• Expected commitment: approximately 15 hours per week
• Flexible schedule; contributors may choose their working hours and days, including weekends, provided there is regular activity
• Displayed compensation range: $50–$100/hour
• Actual compensation structure is output-based, with payment made per task that meets project specifications
• Task completion time may vary depending on experience and workflow
• Minimum weekly submission requirements apply; the source does not specify the exact number of required tasks
• Work will involve full-stack development, APIs, databases, debugging, architecture, testing, multi-language engineering, and AI-generated code evaluation
• Roles are typically filled within approximately 48 hours
• Selected experts are expected to begin initial tasks within approximately 24–48 hours after onboarding
• Project scope, repositories, languages, and evaluation standards may evolve depending on project requirements
• Work must be completed without using confidential or proprietary information belonging to any employer, client, private repository, software organisation, or other third party