Software Engineer (AI Platform & Backend)

Design, develop, and maintain scalable AI-powered backend applications and platform services.

Build, optimize, and maintain Retrieval-Augmented Generation (RAG) pipelines using modern AI frameworks.

Develop backend engines and distributed systems for high-performance AI applications.

Design and implement event-driven architectures and event processing pipelines.

Integrate referral sidecars and backend services to improve system scalability and reliability.

Deploy, manage, and optimize cloud-native applications on AWS.

Build and maintain CI/CD pipelines for automated deployment and delivery.

Implement secrets management, monitoring, logging, and observability solutions.

Collaborate with product managers, architects, and cross-functional engineering teams to deliver secure, scalable, and high-quality software.

Troubleshoot production issues and continuously improve application performance and reliability.

Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

4+ years of experience in backend software development.

Strong experience designing and developing scalable, cloud-native applications.

Hands-on experience with AI application development using LangChain, LangGraph, and RAG architectures.

Experience working with AWS cloud services, containerized deployments, and modern DevOps practices.

Strong understanding of distributed systems, event-driven architectures, and backend integration patterns.

Excellent problem-solving, communication, and collaboration skills.

Experience building enterprise AI platforms and Generative AI solutions.

Familiarity with microservices architecture and container orchestration.

Knowledge of cloud security best practices and infrastructure automation.

Experience working in Agile development environments.