Senior Software Engineer - Pairwise Evaluation

Senior Software Engineer (AI Systems)

About the Role

What if your engineering expertise could power the AI systems that are transforming how millions of people work, learn, and communicate every day? We're looking for a Senior Software Engineer to design, build, and scale the core infrastructure behind cutting-edge AI products — working alongside world-class research teams on problems that genuinely matter.

This is a fully remote contract role for experienced engineers who thrive on autonomy, care deeply about code quality, and want their work to have outsized impact.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 20–40 hours/week

What You'll Do

• Design, develop, and maintain scalable backend systems and services that support AI training and deployment pipelines
• Write clean, well-tested, production-quality code in Python, Go, TypeScript, or similar languages
• Architect and optimize data pipelines, APIs, and microservices for performance and reliability at scale
• Collaborate with machine learning engineers and researchers to integrate models into production environments
• Troubleshoot complex distributed systems issues and drive root-cause analysis
• Contribute to system design decisions, code reviews, and engineering best practices
• Work across the stack as needed — from infrastructure and DevOps to frontend integration
• Operate independently with minimal supervision, managing your own priorities and deliverables

Who You Are

• 5+ years of professional software engineering experience, with a strong track record of shipping production systems
• Deep proficiency in at least one modern programming language — Python, Go, Java, TypeScript, or Rust
• Strong understanding of distributed systems, cloud infrastructure (AWS, GCP, or Azure), and containerization (Docker, Kubernetes)
• Experience designing and building RESTful APIs, data pipelines, or event-driven architectures
• Comfortable with relational and non-relational databases — PostgreSQL, Redis, MongoDB, or similar
• Excellent problem-solving skills and the ability to navigate ambiguity with confidence
• Strong written communication — you can document decisions clearly and collaborate effectively in async-first environments
• Self-directed and reliable — you ship quality work without needing someone looking over your shoulder

Nice to Have

• Experience with ML/AI infrastructure — model serving, training pipelines, vector databases, or LLM integration
• Familiarity with CI/CD pipelines, infrastructure-as-code (Terraform, Pulumi), and observability tooling
• Background in high-throughput, low-latency systems or real-time data processing
• Open-source contributions or a portfolio of side projects that demonstrate engineering depth
• Experience working in remote-first or distributed engineering teams
• Exposure to NLP, large language models, or AI safety/alignment workflows

Why Join Us

• Work on cutting-edge AI infrastructure alongside leading research labs and top-tier engineering talent
• Fully remote and flexible — set your own schedule and work from anywhere
• Tackle meaningful, high-impact technical challenges at the frontier of AI development
• Freelance autonomy with access to intellectually stimulating, purpose-driven projects
• Develop deep expertise in AI/ML systems engineering — one of the most in-demand skill sets in tech
• Potential for ongoing work and long-term contract extensions as new initiatives launch