AI Engineer
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Job Description
Contract AI Engineer creating MCP-based reinforcement learning environments for next-generation AI systems. Designing deterministic tests and reference solutions for complex software engineering tasks.
Responsibilities:
- Apply software engineering expertise to help train next-generation AI systems
- Create reinforcement learning environments that test AI models on complex software engineering problems using Model Context Protocol (MCP) tools
- Work on tasks such as fixing bugs, implementing features, refactoring code, and optimizing performance
- Enable agents to discover and reason over information from real MCP servers
- Design reproducible environments, deterministic verification, and golden reference solutions
- Measure MCP tool use and software engineering ability
- Complete screening questions, an approximately 30-minute AI interview, and a tentative technical assessment
Requirements:
- Proficiency in C++, Python, Java, Go, TypeScript, or Rust
- Deep understanding of algorithms, data structures, and performance tuning
- Demonstrated experience debugging complex software issues and delivering maintainable solutions
- Strong background in feature development and codebase refactoring
- Proven ability to optimize software for performance and scalability
- Exceptional written and verbal communication skills, with keen attention to detail
- Track record of success in collaborative, cross-functional teams, ideally in remote settings
- No prior experience in AI is required
Benefits:
- Flexible schedule; choose your hours and days, including weekends if desired
- Remote work
- Contractor work arrangement
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