Description

You will design and implement scalable back-end systems for AI applications.

Responsibilities

• Develop and optimize AI agent systems and workflows using modern agent frameworks.
• Collaborate with AI/ML and front-end developers to create seamless AI experiences.
• Build robust APIs and services that power AI features.
• Implement and maintain efficient data pipelines for AI model training and inference.
• Contribute to technical architecture decisions and best practices.

Required Skills

• 7+ years of professional software engineering experience.
• Strong proficiency in Python (Golang and Java considered).
• Experience building and deploying production-grade back-end services.
• Knowledge of RESTful APIs and microservice architectures.
• Understanding of AI/ML concepts and integration patterns.
• Experience with version control systems (Git) and CI/CD pipelines.
• Proficiency in Software Engineering principles.
• Experience with Microservice architectures.
• Knowledge of AWS, GCP, or Azure.

Preferred Skills

• Experience with AI agent frameworks such as LangGraph, smolagents, or Autogen.
• Experience working with large language models and generative AI.
• Experience with containerization and orchestration (Docker, Kubernetes).

Key Skills

Education

Any Gradute