Description

You will design and develop a scalable AI platform for building, testing, evaluating, and deploying GenAI/LLM applications.

This role is hybrid.

Responsibilities

• Build self-service tools, SDKs, and APIs to enable seamless AI application development across teams.
• Develop and maintain agent orchestration systems, evaluation pipelines, and ModelOps/LLMOps workflows.
• Architect and implement microservices-based backend systems using Python (FastAPI) with asynchronous and concurrent programming techniques.
• Implement and manage CI/CD pipelines, DevOps practices, and observability frameworks.
• Integrate and manage data and streaming systems including Kafka, Redis, and vector databases.

Required Skills

• 6+ years of experience in Python development, with strong expertise in FastAPI or similar frameworks.
• Hands-on experience in GenAI and LLM-based application development, including agent orchestration and LLM evaluation frameworks.
• Strong understanding of microservices architecture and RESTful API development.
• Experience with DevOps practices, CI/CD pipelines, and observability tools.
• Proficiency in asynchronous and concurrent programming techniques.
• Experience integrating data and streaming systems such as Kafka and Redis.
• Bachelor's degree in a relevant field.

Key Skills

Education

Bachelor's degree