Back End Developer AI Infrastructure

Alignerr Corp.; India; Remote; INR 3,234,000 - 7,761,000; Part time

Job summary

Alignerr is seeking a backend engineer for a remote hourly contract to design, develop, and maintain robust server-side services and data pipelines. You will build scalable architectures to support AI training and inference workloads and ensure code quality with tests and documentation.

You will collaborate across distributed teams, integrate with databases, cloud services, and third-party APIs, and help optimize performance and reliability as usage grows.

Qualifications

• Proficiency in backend languages and RESTful API design is required.
• Experience with microservices, distributed systems, and scalable back-end architectures.
• Familiarity with relational and NoSQL databases such as PostgreSQL, MongoDB, and Redis.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Version control (Git) and CI/CD pipelines are essential.

Responsibilities

• Design, develop, and maintain robust back-end services, APIs, and data pipelines.
• Build scalable 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 performance, reliability, and scalability as usage grows.
• Collaborate asynchronously with distributed teams of engineers, researchers, and product leads.
• Troubleshoot production issues, review code, and contribute to architectural decisions.
• Work independently on task-based and project-based assignments on your own schedule.

Skills

Python

Go

Java

Node.js

Rust

RESTful API design

Microservices architecture

Distributed systems

Problem solving

Communication

Tools

PostgreSQL

MongoDB

Redis

AWS

GCP

Azure

Docker

Kubernetes

Git

CI/CD

Job description

Job Description:

About The Role

• 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
• 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