Software Development Engineer (AI)

TL;DR

Software Development Engineer – Backend (AI/Java): Building and optimizing high-throughput, low-latency microservices and scalable production-grade backend systems for AI and machine learning workflows with an accent on API design, database performance, and distributed systems architecture. Focus on solving complex concurrency challenges at scale, ensuring system reliability, and enhancing observability in production.

Location: On-site in Hyderabad, India

Company

hirify.global is a global leader in data for the AI Lifecycle, providing sourcing, annotation, and model evaluation services to enable organizations to launch innovative artificial intelligence products with speed and at scale.

What you will do

• Design, build, and operate high-throughput, low-latency microservices using Java and Spring Boot.
• Develop and evolve RESTful APIs consumed by internal and external systems.
• Own features end-to-end, from design and development to deployment and production support.
• Collaborate with product managers, data scientists, and platform teams to translate business problems into elegant technical solutions.
• Write high-quality, maintainable, and well-tested code with a strong focus on performance and security.
• Participate actively in architecture discussions, design reviews, and code reviews, raising the bar for engineering excellence.

Requirements

• Bachelor’s degree in Computer Science, or equivalent practical experience.
• 3+ years of hands-on backend development experience.
• Strong proficiency in Java and the Spring ecosystem (Spring Boot, Spring MVC, etc.).
• Deep understanding and expertise of REST APIs and microservices architectures.
• Strong fundamentals in data structures, algorithms, and system design.
• Experience working with RDBMS (schema design, indexing, query optimization).

Nice to have

• Experience with AWS (EKS/ECS, RDS, S3, IAM, monitoring tools).
• Familiarity with CI/CD pipelines and hands-on experience with Kafka or other event-streaming systems.
• Experience using Elasticsearch / OpenSearch for search or analytics use cases.
• Exposure to distributed systems and high-scale SaaS platforms and interest in AI/ML systems and data platforms.

Culture & Benefits

• Purpose-driven company committed to unlocking the power of AI to build a better world.
• Learn-it-all culture that values perspective, growth, and innovation.
• Customer-obsessed, action-oriented, and celebrates winning together.
• Committed to creating an inclusive and diverse workplace and is an equal opportunity employer.

Hiring process

• AI tools may be used to support parts of the hiring process, but final hiring decisions are made by humans.