Software Engineer
micro1 · NAMER
- Hybrid
- Part-time
- $140,000 / year
- NAMER
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Shape next-gen AI solutions remotely.
- Develop and optimize AI training pipelines.
- Manage production systems and CI/CD.
- Collaborate with global AI teams.
- Requires 5+ years, Python, Go, Rust.
About the role
Software Engineer AI Solutions
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.
Key skills/competency:
- Software Engineering
- AI Solutions
- Python
- GoLang
- JavaScript
- Rust
- Docker
- CI/CD
- System Administration
- Problem Solving
Skills & topics
- Software Engineer
- AI Solutions
- Python
- GoLang
- JavaScript
- Rust
- Docker
- CI/CD
- SRE
- DevOps
- Remote
- Contractor
How to get hired
- Tailor your resume: Highlight AI, Python, Go, Rust, and CI/CD experience.
- Showcase problem-solving: Detail your terminal-based and system administration skills.
- Prepare for interviews: Practice coding challenges and behavioral questions.
- Demonstrate communication: Emphasize your ability to document and collaborate.
Technical preparation
Master Python, Go, JavaScript, and Rust.,Practice Docker and CI/CD implementation.,Solve complex terminal-based problems.,Build and manage production infrastructure.
Behavioral questions
Describe a complex system error.,How do you optimize training pipelines?,How do you collaborate with global teams?,How do you document technical solutions?
Frequently asked questions
- What are the primary programming languages required for the Software Engineer AI Solutions role at micro1?
- The Software Engineer AI Solutions role at micro1 primarily requires expert proficiency in Python, JavaScript/TypeScript, Go, and Rust. Familiarity with C/C++ and Bash is also considered a plus for this position.
- Is this a remote position, and are there any location preferences for the Software Engineer AI Solutions job at micro1?
- Yes, this Software Engineer AI Solutions position is fully remote. While not strictly required, experience working on international, distributed engineering teams in US/CAN, LATAM, or UK regions is preferred.
- What type of experience is most valued for the Software Engineer AI Solutions role at micro1?
- micro1 highly values at least 5 years of hands-on experience as a software engineer, SRE, or DevOps engineer in production environments. Expertise in terminal-based workflows, system administration, and AI/ML model training is also greatly appreciated.
- What are the key technical skills needed for the Software Engineer AI Solutions job at micro1?
- Key technical skills for this role include developing AI training pipelines, managing production systems with Docker, CI/CD workflows, and demonstrating advanced problem-solving in terminal environments. Experience with build systems, databases, and version control is also crucial.
- How does micro1 assess candidates for the Software Engineer AI Solutions position?
- micro1 likely assesses candidates through a combination of resume review, technical interviews focusing on coding and system design, and behavioral interviews to gauge problem-solving and collaboration skills, especially regarding terminal-based operations and AI development.