Position Details
About this role
This role focuses on leading the development of enterprise-scale AI systems utilizing large language models, with an emphasis on agentic reasoning, prompt engineering, and scalable AI infrastructure.
Key Responsibilities
- Define AI technical vision
- Lead architecture of multi-agent systems
- Ensure reliability of LLM applications
- Mentor engineering teams
- Collaborate on AI infrastructure development
Technical Overview
Involves designing multi-agent systems, self-correcting engines, and integrating LLMs into enterprise data environments, leveraging semantic layers and advanced AI orchestration tools.
Ideal Candidate
The ideal candidate is a senior AI engineer with over 10 years of software development experience, specializing in large language models, agentic reasoning, and enterprise AI infrastructure. They have a proven track record of deploying complex AI systems at scale and mentoring engineering teams.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 10 years of software engineering experience, No experience deploying LLM applications, Lack of understanding of LLM orchestration, No background in AI infrastructure
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