Back End Developer (AI Infrastructure)

Alignerr Corp.

München

Remote

EUR 55,000 - 96,000

Full time

10 hours ago
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Job summary

Alignerr is seeking a Back End Developer for Munich to design, build, and optimize the server-side systems and APIs powering AI products, from data pipelines to model-serving infrastructure and scalable microservices that handle real-world traffic.

This fully remote hourly contract lets you work on your own terms, collaborating asynchronously with distributed teams, and taking ownership of features from design through to production.

Qualifications

  • Proficient in one or more back end languages: Python, Go, Java, Node.js, or Rust.
  • Strong understanding of RESTful APIs, microservices, and distributed systems.
  • Experience with relational and NoSQL databases (PostgreSQL, MongoDB, Redis).
  • Comfortable with cloud platforms such as AWS, GCP, or Azure.
  • Familiar with Git, CI/CD pipelines, and containerization (Docker, Kubernetes).
  • Strong problem-solving skills and capable of working asynchronously.

Responsibilities

  • Design, develop, and maintain back end services, APIs, and data pipelines.
  • Build scalable server-side architecture to support AI workloads.
  • Write clean, well-documented, testable code following best practices.
  • Integrate with databases, queues, cloud services, and 3rd-party APIs.
  • Optimize performance, reliability, and scalability as usage grows.
  • Collaborate asynchronously with distributed engineers and researchers.
  • Troubleshoot production issues, review code, and contribute to architecture.
  • Work independently on task- and project-based assignments on your own schedule.

Skills

Python
Go
Java
Node.js
Rust
RESTful APIs
Microservices
Distributed systems
Git
Docker
Kubernetes

Tools

PostgreSQL
MongoDB
Redis
AWS
GCP
Azure
CI/CD

Job description

About The Role

What if the code you write could directly power the AI systems shaping how millions of people interact with technology? We're looking for Back End Developers in Munich to design, build, and optimize the server-side systems and APIs that drive cutting‑edge AI products — from data pipelines and model‑serving infrastructure to scalable microservices that handle real-world traffic at scale.

Munich is one of Germany's most vibrant engineering cities. This is a fully remote, flexible contract role that lets you contribute to globally impactful AI infrastructure while working on your own terms.

  • Organization: Alignerr
  • Type: Hourly Contract
  • Location: Remote
  • Commitment: 10–40 hours/week
What You'll Do
  • Design, develop, and maintain robust back end services, APIs, and data pipelines
  • Build scalable, high-performance server‑side architecture to support AI training and inference workloads
  • Write clean, well‑documented, and testable code following engineering best practices
  • Integrate with databases, message queues, cloud services, and third‑party APIs
  • Optimize system performance, reliability, and scalability as usage grows
  • Collaborate asynchronously with distributed teams of 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 your own schedule
Who You Are
  • Proficient in one or more back end languages — Python, Go, Java, Node.js, Rust, or similar
  • Solid understanding of RESTful API design, microservices architecture, and distributed systems
  • Experienced with relational and/or NoSQL databases (PostgreSQL, MongoDB, Redis, etc.)
  • Comfortable working with cloud platforms such as AWS, GCP, or Azure
  • Familiar with version control (Git), CI/CD pipelines, and containerization (Docker, Kubernetes)
  • Strong problem‑solving skills and the ability to debug complex systems independently
  • Self‑motivated, reliable, and effective when working asynchronously without close supervision
  • Clear communicator who can document decisions and collaborate across time zones
Nice to Have
  • Experience building infrastructure for machine learning or AI systems
  • Familiarity with data processing frameworks (Apache Kafka, Spark, Airflow, or similar)
  • Background in performance optimization, caching strategies, or high‑throughput systems
  • Knowledge of authentication, authorization, and security best practices
  • Experience with serverless architectures or event‑driven design patterns
  • Contributions to open‑source projects or a strong portfolio of personal/professional work
Why Join Us
  • Work on cutting‑edge AI infrastructure projects alongside leading research labs
  • Fully remote and flexible — set your own hours and work from anywhere
  • Freelance autonomy with access to meaningful, technically challenging work
  • Build systems at the intersection of software engineering and artificial intelligence
  • Collaborate with a global network of talented engineers and researchers
  • Potential for ongoing work and contract extension as new projects launch
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