Back End Developer (AI Infrastructure)

About the role

Join Alignerr as a Back End Developer focused on AI infrastructure. You will design, build, and optimise server‑side systems that power data pipelines, model‑serving platforms and high‑throughput microservices for AI products used by millions.

Key responsibilities

• Design, develop and maintain robust back‑end services, APIs and data pipelines.
• Build scalable, high‑performance architecture to support AI training and inference workloads.
• Integrate with relational and NoSQL databases, message queues, cloud services and third‑party APIs.
• Optimise system performance, reliability and scalability as traffic grows.
• Collaborate asynchronously with distributed engineers, researchers and product leads.
• Troubleshoot production issues, conduct code reviews and contribute to architectural decisions.
• Work independently on task‑based and project‑based assignments on a flexible schedule.

Required profile

• Proficient in at least one back‑end language such as Python, Go, Java, Node.js or Rust.
• Strong understanding of RESTful API design, microservices and distributed systems.
• Self‑motivated, reliable and effective when working asynchronously without close supervision.
• Clear communicator who can document decisions and collaborate across time zones.

Required skills

• Python, Go, Java, Node.js, Rust
• RESTful API design, microservices architecture, distributed systems
• PostgreSQL, MongoDB, Redis (relational and NoSQL databases)
• AWS, GCP or Azure cloud platforms
• Git, CI/CD pipelines, Docker, Kubernetes
• Apache Kafka, Spark, Airflow (data processing frameworks) – nice to have
• Authentication, authorization and security best practices
• Serverless architectures and event‑driven design patterns – nice to have

What we offer

• Fully remote, flexible contract (10–40 hours/week) with hourly compensation.
• Opportunity to work on cutting‑edge AI infrastructure alongside leading research labs.
• Freelance autonomy combined with technically challenging projects.
• Collaboration with a global network of engineers and researchers.