Senior Applied AI Engineer

Jobtailor; California (MO); On-site; USD 150,000 - 200,000; Full time

Job summary

Jobtailor is seeking a senior software engineer to design, build, and improve scalable AI infrastructure that powers next-gen AI applications. You will push architecture, performance, and reliability improvements while collaborating with hardware, software, and research teams to deliver robust AI-enabled services.

The ideal candidate has MS or higher in a relevant field, 5+ years of production software experience, and strong Python skills with a track record of shipping AI/LLM-powered solutions

Qualifications

• MS or higher degree in Computer Science, Engineering, AI, or related field.
• 5+ years of hands-on software engineering experience building production-grade systems.
• Proven experience shipping AI/LLM-powered applications in production environments.
• Strong Python engineering skills.
• Ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools.

Responsibilities

• Design, develop, and improve scalable infrastructure to support the next generation of AI applications.
• Drive improvements in architecture, performance, and reliability.
• Collaborate across hardware, software, and research teams.
• Stay informed of the latest advancements in AI infrastructure.

Skills

Python

AI infrastructure

LLM experience

Communication

Ownership

Education

MS or higher in CS/Engineering/AI

Job description

• Design, develop, and improve scalable infrastructure to support the next generation of AI applications
• Drive improvements in architecture, performance, and reliability
• Collaborate across hardware, software, and research teams
• Stay informed of the latest advancements in AI infrastructure

Requirements

• MS or higher degree (or equivalent experience) in Computer Science, Engineering, AI, or a related technical field
• 5+ years of hands-on software engineering experience building production-grade software systems
• Demonstrated experience shipping AI/LLM-powered applications, agents, or automation workflows into real production environments
• Strong Python engineering skills
• Ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools
• Practical experience building LLM-powered agents or agentic workflows
• Solid software engineering fundamentals and production mindset
• Ability to identify repetitive, high-friction, or knowledge-intensive workflows and turn them into practical AI-enabled tools
• Demonstrated end-to-end ownership of engineering solutions
• Excellent communication skills and a collaborative, proactive approach.

Core Competencies

Demonstrates expertise in designing and developing scalable AI infrastructure, with a strong focus on Python engineering and production-graded software systems. Proven ability to collaborate across teams and drive improvements in architecture, performance, and reliability of AI applications.