Ai Engineer / Research Scientist (senior, Staff), Explainable Ai
Seekr
Austin, Texas, United States
On-site
Strong background in machine learning and modern ai systems
Ability to move comfortably between research and engineering
Experience with llms, vlms, agent frameworks, or rag
Seekr builds trusted AI for mission-critical decisions by creating secure, explainable AI rooted in customer data across diverse environments
Job Summary
Seekr builds trusted AI for mission-critical decisions by creating secure, explainable AI rooted in customer data across diverse environments.
This role focuses on turning state-of-the-art research into production capabilities that enable users to understand, challenge, and trust AI outputs.
Success requires a candidate who can bridge the gap between research science and engineering to design systems that are testable, dependable, and transparent.
Matching Summary
Seekr builds trusted AI for mission-critical decisions by creating secure, explainable AI rooted in customer data across diverse environments.
Skills & Requirements
Must-have
Strong background in machine learning and modern AI systems
Ability to move comfortably between research and engineering
Experience with LLMs, VLMs, agent frameworks, or RAG
Fluency with AI coding assistants and modern developer workflows
Strong Python and software engineering fundamentals
Nice-to-have
Experience designing AI systems with human oversight workflows
Familiarity with governance, provenance, security, and auditability
Experience deploying AI across cloud, on-prem, edge, or air-gapped environments
Key Requirements
Master's or PhD preferred for Research Scientist candidates
Experience with inference stacks like vLLM or SGLang for Engineers
Experience with Kubernetes-based deployment and CI/CD workflows