Description

You will design, build, and deploy complex multi-agent AI solutions using large language models.

This role is hybrid.

Responsibilities

• Design and implement complex multi-agent architectures, including systems with five or more agents.
• Deploy generative AI applications into production environments.
• Apply MLOps practices to ensure stable and scalable AI workflows.
• Develop full-stack components using Python to support AI integrations.

Required Skills

• 5+ years of experience in software engineering or related roles.
• Expert-level Python programming with full-stack development capabilities.
• Deep understanding of LLMs, transformer architectures, and foundation models.
• Hands-on proficiency with LangChain and LangGraph for building agent workflows.
• Experience integrating and utilizing OpenAI APIs.
• Proven track record of deploying Gen AI applications to production.
• Proficiency in MLOps practices for model lifecycle management.
• Experience with AWS cloud infrastructure.

Preferred Skills

• Experience with multi-agent orchestration and complex system design.
• Background in full-stack development supporting AI services.

Key Skills

Education

Any Gradute