Full Stack Software Engineer | $80/hr | Remote

The Ai Training Company; England; Remote; GBP 70,000 - 110,000; Full time

Job summary

The Ai Training Company is seeking experienced Full-Stack Software Engineers to contribute to advanced AI training through building and refining production-grade software across frontend and backend domains.

Ideal candidates will handle API design, code translation between languages, and cross-cutting concerns such as security, performance, and maintainability while collaborating across unfamiliar codebases and repositories.

Qualifications

• Strong professional experience building and shipping production full‑stack applications.
• Hands-on experience with both frontend and backend engineering.
• Proficiency in multiple programming languages.
• Ability to work effectively inside unfamiliar repositories and debug efficiently.
• Excellent written communication and technical documentation skills.

Responsibilities

• Develop and modify frontend and backend application components.
• Build APIs, services, and data models that support them.
• Trace requests and data through complete application workflows.
• Review and translate code across languages and technologies.
• Document technical decisions, tradeoffs, and implementation details.
• Identify bugs, architectural weaknesses, and optimization opportunities.
• Refactor existing code while preserving expected behavior.
• Ensure security, performance, and maintainability of systems.

Skills

Full-stack development

Frontend & Backend engineering

API design

Code translation

Documentation

Tools

REST APIs

GraphQL

gRPC

CI/CD

Containerization

Job description

Full-Stack Software Engineers, Backend & Frontend Developers. Remote AI Project

We are seeking experienced Full-Stack Software Engineers, Backend Engineers, Frontend Engineers, Application Developers, and Software Engineers to contribute to advanced AI training through realistic software development, debugging, architecture, and code-evaluation tasks.

What You’ll Do

• Develop and modify frontend and backend application components
• Build user-facing features and the APIs, services, and data models that support them
• Trace requests and data through complete application workflows
• Work inside unfamiliar repositories and quickly understand existing architecture
• Diagnose authentication, authorization, persistence, networking, state-management, and deployment issues
• Review and improve software written in multiple programming languages
• Translate full software implementations from one programming language or technology stack into another
• Preserve functionality, behavior, architecture, and edge-case handling during code translation
• Review AI-generated code for correctness, completeness, performance, security, and maintainability
• Identify bugs, missing functionality, architectural weaknesses, and implementation shortcuts
• Refactor existing code while maintaining expected application behavior
• Create technically rigorous reference solutions and validation criteria
• Document technical decisions, assumptions, tradeoffs, and implementation details

Who Can Apply

Relevant backgrounds include:

Full-Stack Software Engineers, Senior Full-Stack Engineers, Staff Full-Stack Engineers, Principal Full-Stack Engineers, Full-Stack Developers, Senior Software Engineers, Software Developers, Application Engineers, Application Developers, Product Engineers, and Web Application Engineers.

Frontend backgrounds may include:

Backend backgrounds may include:

Backend Engineers, Senior Backend Engineers, API Engineers, Server-Side Engineers, Node.js Engineers, Python Backend Engineers, Java Backend Engineers, .NET Engineers, Go Engineers, Rust Engineers, and Backend Application Developers with meaningful frontend experience.

Additional relevant backgrounds include:

Platform Engineers, Systems Engineers, Cloud Engineers, Distributed Systems Engineers, Software Architects, Technical Leads, Developer Tools Engineers, Integration Engineers, DevOps Engineers, Site Reliability Engineers, SREs, and Infrastructure Engineers who regularly work across application layers.

Language-focused candidates may include:

Strong candidates may have experience with:

• Backend service development
• REST APIs
• GraphQL APIs
• RPC and gRPC services
• Server-side applications
• Authentication and authorization
• Session management
• Application state
• ORM and query layers
• Caching
• File storage
• Background jobs
• Third-party integrations
• Webhooks
• Containerized applications
• Observability
• Monitoring
• CI/CD

Requirements

• Strong professional experience building and shipping production full-stack applications
• Meaningful hands-on experience with both frontend and backend engineering
• Production experience with multiple programming languages
• Experience understanding and contributing to complete software architectures
• Ability to work effectively inside unfamiliar repositories
• Strong debugging and technical problem-solving skills
• Ability to trace failures across multiple application layers
• Experience reading and evaluating code written by other engineers
• Ability to reason about correctness, performance, security, and maintainability
• Strong written communication and technical documentation skills
• Ability to work independently on technically complex tasks

Preferred Background

• Experience owning complete features from UI through database
• Experience working across multiple programming languages
• Experience translating or migrating software between languages or frameworks
• Experience modernizing legacy applications
• Experience working with large or mature production codebases
• Experience with distributed systems and cloud infrastructure
• Experience conducting rigorous code reviews
• Experience designing APIs and database schemas
• Experience building secure authentication and authorization systems
• Experience mentoring software engineers
• Experience writing technical design documents

This opportunity is ideal for experienced full stack engineers who enjoy building real products, learning unfamiliar systems quickly, working across multiple technologies, and testing the limits of next-generation AI models. We are a referral partner of the client