Alignerr
Back End Developer (AI Infrastructure)
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Back End Developer (AI Infrastructure)
About The Room
We’re seeking Back End Developers in London to shape the future of AI-driven technology by designing, building, and optimizing mission-critical server-side systems and APIs. Your work will power AI systems that directly influence how millions interact with technology—from data pipelines, to model-serving infrastructure, and scalable microservices handling real-world traffic.
This is a fully remote, flexible contract role. Whether you’re a seasoned engineer seeking impactful projects or developing AI-adjacent infrastructure, this role lets you deliver meaningful work independently.
Organization: Alignerr Type: Hourly Contract Format: Remote Commitment: 10–40 hours/week
What You’ll Contribute
- Design, develop, and maintain server-side services, APIs, and data pipelines
- Architect high-performance, scalable back-end systems for AI training and inference
- Write clean, documented, and testable code adhering to best practices
- Integrate with:
- Databases (PostgreSQL, MongoDB, Redis)
- Message queues & cloud platforms (AWS, GCP, Azure)
- Third-party APIs
- Optimise performance, reliability, and scalability
- Troubleshoot production issues and contribute to code reviews and architecture discussions
- Execute task/project-based assignments autonomously, scheduling work around a flexible timetable
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Who This Role Suits You
Core Requirements
✔ Proficient in back-end languages: Python, Go, Java, Node.js, Rust, or similar ✔ Hands-on experience with:
- RESTful APIs
- Microservices & distributed systems ✔ Experience with:
- Relational/NoSQL databases (PostgreSQL, MongoDB, Redis)
- Cloud platforms (AWS/GCP/Azure) ✔ Familiarity with:
- Version control (Git)
- CI/CD pipelines
- Containerization tools (Docker, Kubernetes) ✔ Independent problem solver and debugging expert ✔ Self-motivated, dependable, and comfortable working asynchronously ✔ Clear communicator, skilled in collaboration & technical documentation
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Nice to Have
- Experience building AI/ML infrastructure
- Knowledge of data processing frameworks (Kafka, Spark, Airflow)
- Background in performance optimisation, caching, or high-throughput systems
- Prioritisation of authentication, security, and best practices
- Experience with serverless* or event-driven systems
- Open-source contributions or a strong portfolio of past projects
Why Join Us?
✅ Partner with cutting-edge AI teams across research labs and scalable infrastructure ✅ Flexible hours with 100% remote work options—set your own rhythm ✅ Freelance autonomy: self-driven, high-stakes work with high clarity ✅ Build software engineering infrastructure convergence with AI systems ✅ Collaborate with a global talent network of researchers and engineers ✅ Clear growth path: potential for new projects and contract renewal
Note: Contract negotiations will consider your availability, work quality, and role-specific trajectory.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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