AI Engineer

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.

Qualifications and Skills

Required

   •  3 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.