Software Engineer

Job Type: Contractor

Location: Remote

Job Summary:

Join our customer's team as a Software Engineer and shape the next generation of AI solutions. You’ll leverage your expertise in modern programming languages and terminal-based problem solving to guide AI systems in real-world, production-grade engineering environments. Collaborate closely with a global team, contributing high-impact insights and driving meaningful advancements in AI training methodologies.

Key Responsibilities:

• Develop and optimize AI training pipelines using Python, GoLang, JavaScript, and Rust within complex engineering stacks.
• Design, troubleshoot, and manage production-grade system builds, Dockerized sandboxes, and CI/CD workflows.
• Demonstrate advanced problem-solving by navigating filesystems, managing processes, and recovering from system errors.
• Collaborate with cross-functional teams to refine data sets, model behaviors, and infrastructure for AI learning.
• Document and communicate technical solutions clearly, ensuring effective knowledge transfer and process improvements.
• Implement best practices for security, scalability, and maintainability across infrastructure and codebases.
• Continuously evaluate cutting-edge tools, libraries, and frameworks to enhance AI training efficiency.

Required Skills and Qualifications:

• 5+ years of hands-on experience as a software engineer, SRE, or DevOps engineer in production environments.
• Expert proficiency with Python, JavaScript/TypeScript, Go, and Rust; familiarity with C/C++ and Bash is a plus.
• Robust experience with build systems, package managers, ML frameworks, databases, cryptography, and version control tools.
• Demonstrated mastery in terminal-based workflows, including problem decomposition and dynamic replanning under constraints.
• Proven ability to design and maintain complex infrastructure, including Docker and server administration.
• Exceptional written and verbal communication skills; ability to document, teach, and advocate for technical best practices.
• Fluent English proficiency, with a commitment to clear communication and collaborative teamwork.

Preferred Qualifications:

• Experience working on international, distributed engineering teams (US/CAN, LATAM, UK regions preferred).
• Background in AI/ML model training, data engineering, or human-in-the-loop systems.
• Exposure to large-scale infrastructure projects or cryptography-driven applications.