Description

You will design and implement scalable back-end systems for AI applications, focusing on agent workflows and production-grade services.

This role is on-site.

Responsibilities

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

Required Skills

• 7+ years of professional software engineering experience.
• Strong proficiency in Python; experience with Golang or Java is considered.
• Proven track record building and deploying production-grade back-end services.
• Deep understanding of RESTful APIs and microservice architectures.
• Knowledge of AWS, GCP, or Azure cloud platforms.
• Experience with version control (Git) and CI/CD pipelines.
• Solid grasp of AI/ML concepts and integration patterns.

Preferred Skills

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

Key Skills

Education

Any Gradute