Cornerstone - AI Engineer

Description :

Job Title : AI Engineer

Location : Hyderabad, India

Years of Experience : 2+ years of hands-on software engineering experience, building and operating production systems

Position Overview :

We are seeking a AI Engineer to design, build, and scale high-quality software systems that power our product platforms. This role is ideal for a strong, hands-on engineer with solid backend fundamentals, cloud experience, and growing exposure to AI-driven development.

The ideal candidate has strong experience with Java and AWS, a good understanding of SQL and NoSQL data stores, and an interest or hands-on experience integrating AI or Generative AI capabilities into real-world applications. You will work closely with senior engineers, architects, and product teams to deliver reliable, scalable solutions that drive customer value.

In this role you will :

Software Development & System Design :

- Design, implement, and maintain backend services and APIs using Java and modern frameworks.

- Build and operate cloud-native services on AWS, ensuring scalability, reliability, and performance.

- Develop and expose API-first services using REST and GraphQL.

- Contribute to system design discussions and help implement scalable, distributed architectures.

- Write clean, maintainable, well-tested code following engineering best practices.

Data & Platform Engineering :

- Design and work with SQL and NoSQL databases to support high-scale application workloads.

- Implement data access patterns with a focus on performance, reliability, and consistency.

- Contribute to event-driven and asynchronous processing where appropriate.

AI-Aware Development :

- Integrate AI or ML capabilities into applications, including LLM-based features or intelligent automation.

- Collaborate with senior engineers and architects on AI-enabled system designs.

- Apply best practices for using AI services safely, reliably, and cost-effectively.

Cloud, DevOps & Quality :

- Deploy and operate services on AWS using Docker and Kubernetes (EKS).

- Contribute to CI/CD pipelines, automated testing, and infrastructure automation.

- Monitor, debug, and optimize production systems.

- Partner with QA, DevOps, and Security teams to ensure quality and compliance.

Collaboration & Growth :

- Work closely with Product Managers, UX designers, and cross-functional teams to deliver customer-facing features.

- Participate in code reviews, design reviews, and technical discussions.

- Mentor junior engineers and contribute positively to team culture.

You've got what it takes if you have :

Required :

- 2+ years of hands-on software engineering experience building production systems.

- Strong experience with Java in backend and service-oriented architectures.

- Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.).

- Experience working with SQL and NoSQL databases in production.

- Experience building RESTful APIs; exposure to GraphQL is a plus.

- Experience with Docker; exposure to Kubernetes (EKS) is a plus.

- Strong problem-solving skills and a quality-first mindset.

Nice to Have :

- Exposure to AI or Generative AI in production systems.

- Experience with modern frontend frameworks (e.g., React).

- Familiarity with Infrastructure as Code (Terraform or AWS CDK).

- Experience working in agile, product-driven environments.

Why Join Us ?

- Strong Engineering Culture : Build well-architected, high-quality systems.

- Growth Path : Clear progression toward Staff, Principal, or AI-focused roles.

- Modern Stack : Java, AWS, Kubernetes, SQL/NoSQL, and AI-enabled services.

- Collaboration : Work with talented engineers, product leaders, and designers.

- Core Values : Be part of a company that lives by Shattering Boundaries, Sparking Greatness, and Sharing Success.