We are sharing a specialised full-time consulting opportunity for experienced full-stack software engineers with hands-on production experience building and shipping modern applications across backend, frontend, database, and cloud environments.
This role supports an advanced generative AI initiative focused on building, integrating, and stress-testing real software using frontier AI models. Selected engineers will develop production-quality applications and internal tools, integrate pre-release model APIs, investigate model and integration failures, and contribute working code quickly across evolving technical requirements.
Key Responsibilities
Full-Stack Software Development
- Build and ship full-stack applications, backend services, APIs, and internal engineering tools
- Develop production software using Python, Java, Rust, C#, C++, TypeScript, or related technologies
- Work across backend services, frontend applications, databases, and cloud environments
- Develop maintainable, production-quality software for realistic application workflows
- Contribute to architecture, implementation, testing, and deployment
AI Model & API Integration
- Integrate pre-release AI model APIs into working software
- Build supporting tool interfaces, application scaffolding, and evaluation harnesses
- Develop telemetry and instrumentation for observing model and system behaviour
- Test frontier model capabilities through realistic end-to-end applications
- Identify technical limitations and integration issues during development
Engineering Analysis & Debugging
- Diagnose model, application, and integration failure modes
- Investigate unexpected system behaviour and implementation problems
- Document reproducible technical issues clearly
- Translate engineering observations into actionable written feedback
- Support research and engineering teams with technically precise findings
Rapid Prototyping & Delivery
- Prototype solutions quickly as requirements evolve
- Onboard onto unfamiliar codebases and contribute working code with minimal ramp-up
- Deliver functional increments with limited up-front specification
- Collaborate with engineers and technical leadership on architecture and implementation decisions
- Maintain consistent standards for code quality and technical documentation
Ideal Profile
Strong candidates may have:
- At least 3 years of dedicated professional software engineering experience
- Hands-on experience building and shipping production software
- Production expertise in at least one of Python, Java, Rust, C#, or C++
- Working proficiency in a second programming language or technical ecosystem
- Experience developing backend services and APIs
- Hands-on experience with React or another modern frontend framework
- Experience with relational or document databases
- Familiarity with cloud deployment and production environments
- Ability to learn unfamiliar codebases and deliver working software quickly
- Demonstrable professional progression
- Strong written communication and technical reasoning skills
- Reliable weekday availability for approximately 40 hours per week
Educational Background
- A degree in computer science, software engineering, computer engineering, or a related technical discipline may be helpful
- Advanced technical education may strengthen an application
- Equivalent professional software engineering experience may also be considered
- Hands-on production engineering experience is particularly important for this engagement
Nice to Have
- Professional experience across multiple programming-language ecosystems
- Strong Python, Java, Rust, C#, C++, or TypeScript experience
- Experience building AI-powered applications
- Familiarity with LLM or foundation-model APIs
- Experience developing evaluation harnesses or engineering tooling
- Background building internal developer tools or platforms
- Experience with cloud infrastructure and production operations
- Familiarity with observability, telemetry, and system instrumentation
- Experience working in fast-moving technology or research environments
Why This Opportunity
- Build production-quality software around frontier AI systems
- Work across backend, frontend, databases, cloud, and model-integration workflows
- Test advanced AI capabilities through realistic software applications
- Identify technical limitations and integration failures before broader deployment
- Collaborate with experienced engineering and research teams
- Develop working software across multiple modern technology stacks
- Contribute full-time to technically demanding, rapidly evolving projects
Contract Details
- Full-time W-2 contingent employment opportunity
- Expected commitment of approximately 40 hours per week during weekdays
- Competitive rates between $45–$60 per hour depending on experience and project scope
- Work may include full-stack application development, API integration, AI model testing, debugging, engineering tooling, and technical documentation
- Candidates should have production experience in at least one of Python, Java, Rust, C#, or C++, together with working proficiency in a second technical ecosystem
- Projects and responsibilities may evolve according to research and engineering requirements
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
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