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 for millions.
- Write clean, scalable, and performant code.
- Work remotely with flexible hours.
- Collaborate asynchronously with global teams.
- High autonomy and ownership in projects.
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 Services
- APIs
- Data Pipelines
- Distributed Systems
- System Design
Skills & topics
- Software Engineer
- AI Infrastructure
- Python
- TypeScript
- Cloud Engineering
- Backend Development
- API Development
- Data Pipelines
- Distributed Systems
- System Design
- Remote Work
- Contract Role
How to get hired
- Tailor your resume: Highlight your 5+ years of software engineering experience, Python/TypeScript skills, and cloud platform familiarity.
- Showcase your projects: Emphasize experience with backend services, APIs, data pipelines, and system design.
- Demonstrate remote work skills: Prove your self-direction, communication, and ability to work autonomously.
- Mention AI/ML infrastructure experience: If applicable, detail your work with training pipelines or model serving.
- Apply early: Submit your application promptly for this remote, flexible contract role.
Technical preparation
Master Python/TypeScript for AI infrastructure tasks.,Deepen cloud platform (AWS, GCP, Azure) knowledge.,Practice system design and distributed architecture.,Build complex APIs and scalable data pipelines.
Behavioral questions
Demonstrate handling ambiguity in complex systems.,Showcase self-direction and reliable project delivery.,Explain how you collaborate asynchronously effectively.,Describe your approach to balancing speed and maintainability.
Frequently asked questions
- What are the primary responsibilities of a Senior Software Engineer AI Infrastructure at Alignerr?
- As a Senior Software Engineer AI Infrastructure at Alignerr, you will design, develop, and maintain production-grade software systems for AI training, evaluation, and deployment pipelines. This includes writing clean, performant code in languages like Python or TypeScript, building scalable APIs and data pipelines, and troubleshooting complex distributed systems on cloud platforms.
- Is this Senior Software Engineer AI Infrastructure role remote or on-site?
- This Senior Software Engineer AI Infrastructure role is fully remote, offering flexibility for you to set your own schedule and work from anywhere. Alignerr is committed to an async-first environment, facilitating effective collaboration across global teams.
- What programming languages and technologies are most important for this Senior Software Engineer AI Infrastructure position?
- Strong proficiency in modern programming languages such as Python, TypeScript/JavaScript, Go, or Java is essential. Experience with cloud platforms like AWS, GCP, or Azure, containerized environments, and version control systems like Git are also highly valued for this Senior Software Engineer AI Infrastructure role.
- What kind of experience is required for the Senior Software Engineer AI Infrastructure role at Alignerr?
- The role requires 5+ years of professional software engineering experience, with a solid understanding of software architecture, design patterns, and system design principles. Experience building and deploying backend services, APIs, or data-intensive applications is crucial for this Senior Software Engineer AI Infrastructure position.
- What are the benefits of joining Alignerr as a Senior Software Engineer AI Infrastructure?
- Joining Alignerr offers the opportunity to work on cutting-edge AI infrastructure, tackle technically challenging problems with real-world impact, and enjoy high autonomy and ownership. You'll collaborate with world-class engineers and researchers in a fully remote and flexible environment, with potential for ongoing work and contract extensions.
- What is the expected commitment for the Senior Software Engineer AI Infrastructure contract role?
- The commitment for this Senior Software Engineer AI Infrastructure contract role is between 20–40 hours per week, offering flexibility to manage your workload alongside other projects or commitments.
- Does Alignerr prefer candidates with experience in ML/AI infrastructure for the Senior Software Engineer role?
- While not strictly required, experience with ML/AI infrastructure such as training pipelines, model serving, data annotation platforms, or evaluation frameworks is considered a 'nice to have' for the Senior Software Engineer AI Infrastructure position at Alignerr. It can significantly strengthen your application.