Position Details
About this role
This role involves designing and implementing architectures for LLM observability, partnering with customers to deploy solutions, and providing technical guidance on large-scale AI applications.
Key Responsibilities
- Partner with customers on architecture design
- Create reference architectures and guides
- Build proofs of concept
- Drive adoption of LLM observability
- Provide technical feedback to product teams
Technical Overview
The technical environment includes distributed systems, observability tools such as tracing, metrics, logging, and programming in Python, JavaScript, and TypeScript, focused on LLM-powered applications.
Ideal Candidate
The ideal candidate is a mid-level solutions architect with strong software engineering skills, experience with LLMs, distributed systems, and observability tools, capable of guiding customer deployments and designing scalable architectures.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with distributed systems or observability, No background in software engineering or LLM applications, Unfamiliarity with SaaS or cloud environments
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile