Lead Applied AI Software Engineer – AI

Jobtailor; Kentucky; On-site; USD 140,000 - 180,000; Full time

Job summary

Jobtailor in Kentucky, United States, is seeking an experienced AI Systems Engineer to architect end-to-end AI solutions and lead production deployments with strong observability. The role focuses on scalable data ingestion architectures and establishing evaluation frameworks to drive continuous improvement.

You will mentor engineers, promote responsible AI practices, and contribute to ethics, transparency, and user benefit while delivering production-grade generative AI systems.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or Data Science.
• 7+ years of experience in software engineering with a strong focus on applied AI/ML.
• Deep expertise designing and deploying production-grade generative AI systems.
• Proficiency in Python and modern web frameworks such as React and FastAPI.
• Experience with vector databases, embedding models, LLM APIs, and orchestration frameworks.
• Established organization-wide best practices for prompt engineering.

Responsibilities

• architect comprehensive end-to-end AI systems
• lead deployment of AI systems into production environments with strong observability
• design scalable data ingestion architectures
• drive quantitative evaluation and continuous improvement of AI systems through evaluation frameworks
• mentor engineers at various levels through technical guidance
• foster a culture of responsible AI development that prioritizes ethics, transparency, and user benefit

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Data Science

Tools

Python

React

FastAPI

vector databases

embedding models

LLM APIs

orchestration frameworks

data ingestion architecture

AI systems architecture

generative AI systems

Job description

Responsibilities

• architect comprehensive end-to-end AI systems
• lead deployment of AI systems into production environments with strong observability
• design scalable data ingestion architectures
• drive quantitative evaluation and continuous improvement of AI systems through establishment of evaluation frameworks
• mentor engineers at various levels through technical guidance
• foster a culture of responsible AI development that prioritizes ethics, transparency, and user benefit

Requirements

• over 7 years of experience in software engineering with a strong focus on applied AI/ML
• Bachelor's degree in Computer Science, Engineering, Data Science, or a related field
• deep expertise designing and deploying production-grade generative AI systems
• strong technical proficiency in Python, including advanced language features and design patterns
• experience with modern web application frameworks, such as React and FastAPI
• strong knowledge of AI‑specific technologies, including vector databases, embedding models, LLM APIs, and orchestration frameworks
• established organization‑wide best practices for prompt engineering

Hard Skills

• AI systems architecture
• data ingestion architecture
• Python
• React
• FastAPI
• generative AI systems
• vector databases
• embedding models
• LLM APIsorchestration frameworks

Soft Skills

• mentoring
• technical guidance
• leadership
• communication
• fostering culture
• responsible AI development
• ethics
• transparency
• user benefit
• continuous improvement

Certifications & Qualifications

• Bachelor's degree in Computer Science
• Bachelor's degree in Engineering
• Bachelor's degree in Data Science