Senior Software Engineer (AI Infrastructure)
Alignerr · United States
- Hybrid
- Contract
- $150,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Design and build AI infrastructure systems.
- Write clean, scalable code in Python/TypeScript.
- Optimize APIs and data pipelines.
- Work remotely with high autonomy.
- Collaborate with global AI teams.
About the role
About The Role
What if your engineering skills could directly shape the platforms and systems behind the AI revolution? We're looking for Senior Software Engineers in Singapore to design, build, and scale the infrastructure that powers cutting-edge AI products used by millions of people worldwide.
This is high-impact, technically challenging work — the kind that keeps great engineers engaged. You'll tackle real architectural problems, write code that matters, and collaborate with some of the sharpest minds in AI research and engineering.
This is a fully remote, flexible contract role. If you're an experienced engineer who thrives on autonomy, writes clean and scalable code, and wants to work at the frontier of technology — we want to hear from you.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 20–40 hours/week
What You'll Do
- Design, develop, and maintain production-grade software systems that support AI training, evaluation, and deployment pipelines
- Write clean, well-tested, and performant code in Python, TypeScript, or other modern languages
- Build and optimize APIs, data pipelines, and backend services that operate reliably at scale
- Architect solutions that balance speed of delivery with long-term maintainability
- Troubleshoot complex technical issues across distributed systems and cloud infrastructure
- Collaborate asynchronously with cross-functional teams — including ML engineers, researchers, and product managers
- Participate in code reviews and contribute to engineering best practices across the team
- Work independently on well-scoped projects with meaningful ownership and autonomy
Who You Are
- 5+ years of professional software engineering experience
- Strong proficiency in at least one modern programming language — Python, TypeScript/JavaScript, Go, Java, or similar
- Solid understanding of software architecture, design patterns, and system design principles
- Experience building and deploying backend services, APIs, or data-intensive applications
- Comfortable working with cloud platforms (AWS, GCP, or Azure) and containerized environments
- Familiar with version control (Git), CI/CD workflows, and modern development tooling
- Strong debugging and problem-solving skills — you can navigate ambiguity and find root causes efficiently
- Excellent written communication skills — you can document decisions, explain tradeoffs, and collaborate effectively in an async-first environment
- Self-directed and reliable — you manage your own time and deliver consistently without close supervision
Nice to Have
- Experience with ML/AI infrastructure — training pipelines, model serving, data annotation platforms, or evaluation frameworks
- Familiarity with large-scale data processing tools (Spark, Kafka, Airflow, or similar)
- Background in distributed systems, microservices architecture, or event-driven design
- Experience with infrastructure-as-code (Terraform, Pulumi) or Kubernetes
- Contributions to open-source projects or a public portfolio of technical work
- Previous experience in a remote-first or async-heavy engineering culture
Why Join Us
- Work on cutting-edge AI infrastructure alongside world-class research labs and engineering teams
- Fully remote and flexible — set your own schedule and work from anywhere
- Tackle genuinely hard technical problems with real-world impact at scale
- High autonomy and ownership — no micromanagement, just meaningful engineering work
- Collaborate with a global community of top-tier engineers and researchers
- Potential for ongoing work, expanded scope, and long-term contract extension as projects grow
Key skills/competency
- Senior Software Engineer
- AI Infrastructure
- Python
- TypeScript
- Cloud Platforms (AWS, GCP, Azure)
- Backend Development
- API Design
- Distributed Systems
- System Design
- Agile Methodologies
Skills & topics
- Senior Software Engineer
- AI Infrastructure
- Python
- TypeScript
- Backend Development
- Cloud Computing
- Distributed Systems
- API Development
- System Design
- Remote Work
How to get hired
- Tailor your resume: Highlight 5+ years of software engineering and AI infrastructure experience. Emphasize Python/TypeScript proficiency, cloud platforms, and system design skills.
- Showcase your projects: Quantify your impact on backend services, APIs, or data pipelines. Mention contributions to open-source or a public portfolio if applicable.
- Address remote work: Demonstrate your self-direction, problem-solving abilities, and excellent async communication skills in your application and cover letter.
- Prepare for technical interviews: Be ready to discuss system design, architecture, and troubleshooting complex distributed systems and cloud infrastructure.
- Research Alignerr: Understand their focus on AI infrastructure and their remote-first, autonomous work culture.
Technical preparation
Practice system design problems.,Implement AI/ML pipeline components.,Write and test Python/TypeScript code.,Deploy applications on cloud platforms.
Behavioral questions
Describe a complex technical problem you solved.,How do you manage your time autonomously?,Explain a challenging system design decision.,How do you collaborate asynchronously with teams?
Frequently asked questions
- What is the work arrangement for the Senior Software Engineer AI Infrastructure role at Alignerr?
- The Senior Software Engineer AI Infrastructure position at Alignerr is fully remote. This offers flexibility in terms of work location and schedule, emphasizing autonomy and self-management.
- What programming languages are preferred for the Senior Software Engineer AI Infrastructure job?
- Alignerr prefers candidates proficient in modern languages like Python, TypeScript/JavaScript, Go, or Java for the Senior Software Engineer AI Infrastructure role. Python and TypeScript are specifically mentioned for their AI infrastructure projects.
- What level of experience is required for the Senior Software Engineer AI Infrastructure position at Alignerr?
- A minimum of 5 years of professional software engineering experience is required for the Senior Software Engineer AI Infrastructure role. Strong experience in system design, backend development, and cloud platforms is also essential.
- How does Alignerr support remote work for its Senior Software Engineers?
- Alignerr fosters a remote-first and async-heavy engineering culture, offering high autonomy and ownership. They value self-directed individuals who can manage their time effectively and deliver results without close supervision.
- What are the key responsibilities of a Senior Software Engineer AI Infrastructure at Alignerr?
- Key responsibilities include designing, developing, and maintaining AI training, evaluation, and deployment pipelines. This involves writing clean code, building scalable APIs and data pipelines, architecting solutions, and troubleshooting complex distributed systems.
- Is this a full-time or contract position for the Senior Software Engineer AI Infrastructure role?
- The Senior Software Engineer AI Infrastructure position at Alignerr is an hourly contract role. The commitment is between 20-40 hours per week, with potential for ongoing work and contract extension.
- What kind of technical challenges can I expect as a Senior Software Engineer AI Infrastructure at Alignerr?
- You can expect to tackle technically challenging problems related to AI infrastructure, including designing scalable systems for AI training, evaluation, and deployment, optimizing complex data pipelines, and troubleshooting distributed systems in a cloud environment.