Synthires
Senior Software Engineer (Remote | $100–$150/hr)
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Senior Software Engineer
Position: Senior Software Engineer
Type: Hourly Contract (Part-Time)
Compensation: $100–$150/hour
Location: Remote
About the Opportunity
This opportunity is for experienced Senior Software Engineers to contribute to advanced AI research and evaluation projects focused on training and improving next-generation AI systems. In this role, you'll apply your software engineering expertise to create and evaluate Reinforcement Learning environments that test AI models on complex software engineering tasks using Model Context Protocol (MCP) tools. Tasks may involve bug fixing, feature implementation, codebase refactoring, performance optimization, and debugging.
No prior AI experience is required. Your software engineering expertise, problem-solving abilities, and experience working with complex codebases are the primary qualifications for success in this role.
Responsibilities
- Create and evaluate Reinforcement Learning environments that test AI models on realistic software engineering tasks.
- Develop tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization.
- Design reproducible environments, deterministic verification systems, and reference solutions for evaluating AI performance.
- Apply expertise in algorithms, data structures, software architecture, debugging, and performance tuning.
- Evaluate AI-generated code for correctness, maintainability, scalability, and performance.
- Identify bugs, edge cases, implementation failures, and architectural tradeoffs.
- Work with Model Context Protocol (MCP) tools and real-world software engineering workflows.
- Provide structured technical feedback to improve AI coding capabilities, reasoning, and software engineering performance.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Qualifications
- 2+ years of professional Software Engineering experience or equivalent industry experience.
- Proficiency in one or more programming languages, including C++, Python, Java, Go, TypeScript, or Rust.
- Strong understanding of algorithms, data structures, software engineering principles, and performance optimization.
- Demonstrated experience with debugging complex software issues and delivering maintainable solutions.
- Strong background in feature development, codebase refactoring, and software optimization.
- Ability to analyze complex engineering problems and identify bugs, edge cases, and performance bottlenecks.
- Excellent analytical, problem-solving, written, and verbal communication skills.
- Ability to work independently in a fully remote environment.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
Preferred Qualifications
- Experience working with large-scale or distributed codebases.
- Familiarity with AI, machine learning, reinforcement learning, or AI coding systems.
- Experience with Model Context Protocol (MCP) or tool-based AI workflows.
- Background in code reviews, software quality assurance, and engineering best practices.
- Experience working with cloud platforms, distributed systems, or performance-critical applications.
- Experience collaborating with cross-functional or remote engineering teams.
Compensation
- Competitive compensation of $100–$150/hour.
- Output-based compensation tied to completed tasks.
- Independent contractor engagement.
- Approximately 15 hours per week, depending on project requirements.
Application Process
- Apply to the role and complete the screening questions
- Complete an AI Interview (approximately 30 minutes)
- Complete a Technical Assessment, if required
- Hiring Manager Review
Start Timeline & Availability
The team typically aims to fill positions quickly. Selected candidates should be prepared to begin tasks within 24–48 hours after completing onboarding, subject to project requirements and availability.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location