Senior Ai Software Engineer (Remote | $100 –$150/Hr) - Synthires

Synthires; Madrid; A distancia; EUR 127.000 - 190.000; A tiempo parcial

Descripción de la vacante

Synthires busca Ingeniero de Software Senior para trabajar en entornos de IA avanzada desde remoto. Trabajo por contrato (~15 horas/semana) con pago semanal y enfoque en investigación y evaluación de modelos.

Se valorará experiencia en Python/Java/Rust y capacidades para diseñar entornos de RL que evalúen tareas de ingeniería de software, con documentación técnica y soluciones de referencia de alta calidad.

Formación

• Experiencia en desarrollo de software con los lenguajes listados.
• Conocimiento de estructuras de datos y algoritmos.
• Capacidad de depurar problemas complejos de software y proponer soluciones mantenibles.
• Experiencia en desarrollo de características y refactorización de código.
• Buenas habilidades de comunicación escrita y verbal.
• Capacidad para trabajar de forma independiente y en entornos remotos.

Responsabilidades

• Diseñar y construir entornos de aprendizaje por refuerzo para evaluar capacidades de ingeniería de software.
• Crear tareas de corrección de bugs, implementación de features, refactorización y optimización de rendimiento.
• Desarrollar entornos de evaluación reproducibles y sistemas de verificación deterministas.
• Producir soluciones de referencia y documentación técnica de alta calidad.
• Evaluar soluciones generadas por IA por precisión y buenas prácticas de ingeniería.
• Colaborar con ingenieros e investigadores para mantener altos estándares de evaluación.

Conocimientos

Python

Java

Rust

C++

Go

TypeScript

Descripción del empleo

Descripción del trabajo

Senior Software Engineer

Location: Remote

Engagement Type: Contractor (~15 hours/week)

Compensation: $100–$150/hour

About the Opportunity

This opportunity is for experienced Software Engineers interested in contributing to advanced AI research and evaluation projects. The role involves applying deep software engineering expertise to help improve the reasoning, problem-solving, and tool-usage capabilities of next-generation AI systems.

You will create Reinforcement Learning (RL) environments that evaluate AI models on real-world software engineering tasks such as bug fixing, feature implementation, code refactoring, and performance optimization. These environments will leverage Model Context Protocol (MCP) tools and require the creation of reproducible tasks, deterministic verification methods, and high-quality reference solutions.

Ideal Qualifications

• Python
• Java
• Rust
• C++
• Go
• TypeScript
• Strong proficiency in one or more of the following languages:
• Deep understanding of algorithms, data structures, and software performance optimization.
• Experience debugging complex software issues and delivering maintainable solutions.
• Strong background in feature development, codebase refactoring, and software architecture.
• Excellent written and verbal communication skills.
• Ability to work independently and collaborate effectively in remote environments.

Responsibilities

• Design and build Reinforcement Learning environments that test software engineering capabilities.
• Create tasks involving bug fixing, feature implementation, code refactoring, and performance optimization.
• Develop reproducible evaluation environments and deterministic verification systems.
• Produce high-quality reference solutions and technical documentation.
• Evaluate AI-generated solutions for correctness, efficiency, and software engineering best practices.
• Contribute expertise to improve AI model reasoning and tool usage capabilities.
• Collaborate with engineers and researchers to maintain high-quality evaluation standards.

Preferred Qualifications

• Experience working with large-scale distributed systems and codebases.
• Familiarity with AI, machine learning, or developer tools is a plus.
• Experience conducting code reviews and contributing to software engineering best practices.

Compensation

• Competitive compensation of $100–$150/hour.
• Weekly payments.
• Independent contractor engagement.

Application Process

• Apply to the role and complete screening questions.
• Complete an AI Interview (approximately 30 minutes).
• Participate in a Technical Assessment (if required).
• Hiring Manager Review.