Job description

A leading organization is seeking a Backend Engineer to support and operationalize an AI data annotation and review platform. The Backend Engineer will develop templates, improve review workflows, integrate data pipelines, and automate processes that support AI and data science teams.

The position focuses on making annotation and prompt review processes more consistent and efficient while reducing manual operational work for data scientists.

Responsibilities

• Develop and maintain templates for AI data annotation and review processes.
• Build backend workflows that support annotation, validation, and review activities.
• Create and maintain integrations for moving data into and out of the annotation platform.
• Use Python and APIs to automate data processing and platform workflows.
• Support structured prompt review processes used by AI and data science teams.
• Standardize annotation and review workflows to improve consistency.
• Develop SQL-based processes to support data movement and management.
• Work with GCP to support cloud-based data and application workflows.
• Improve platform utilization through repeatable backend processes and automation.
• Reduce manual operational activities currently performed by data scientists.

Required experience and skills

• Python
• GCP
• API development and integration
• SQL
• AI
• Backend engineering experience supporting data and workflow processes

FAQs

1. What does a Backend Engineer do?

A Backend Engineer designs, develops, and maintains the server-side systems that support applications and digital products. The role typically includes building business logic, APIs, database integrations, background services, and reliable production workflows.

2. What programming languages are commonly used by Backend Engineers?

Backend engineers may work with languages such as Python, Java, JavaScript or Node.js, Go, C#, or similar technologies. The required language depends on the organization’s existing architecture, application requirements, and technology stack.

3. How does a Backend Engineer design and develop APIs?

Backend engineers design API endpoints, data contracts, authentication mechanisms, validation rules, error handling, and integration patterns. They also consider API versioning, documentation, performance, security, and backward compatibility as services evolve.

4. What database skills are important for a Backend Engineer?

Backend engineers commonly work with relational databases such as PostgreSQL, MySQL, or SQL Server and may also use NoSQL technologies such as MongoDB, DynamoDB, or Redis. Important skills include schema design, queries, indexing, transactions, data modeling, and database performance optimization.

5. How do Backend Engineers build scalable applications?

Scalability may involve efficient application architecture, caching, asynchronous processing, load balancing, database optimization, and appropriate use of cloud infrastructure. Engineers also consider service dependencies, resource utilization, fault tolerance, and expected traffic growth when designing systems.

6. How does a Backend Engineer test server-side code?

Testing can include unit, integration, API, database, and end-to-end tests depending on the system. Engineers use automated tests to validate business logic, integrations, error handling, and critical workflows before changes are deployed.

7. How do Backend Engineers troubleshoot production issues?

Troubleshooting typically involves examining logs, metrics, traces, database behavior, API responses, and recent deployments to identify the root cause of an issue. Engineers may then implement and validate fixes while also addressing underlying reliability or monitoring gaps.

8. How does a Backend Engineer collaborate with frontend developers?

Backend engineers work with frontend developers to establish API contracts, data structures, authentication flows, validation rules, and error-handling behavior. Clear coordination ensures that backend services provide predictable data and functionality for the user interface.