Hands-On AI Systems Architect & Full-Stack Engineer

Empiric; Indianapolis (IN); On-site; USD 100,000 - 150,000; Full time

Job summary

A tech solutions provider is seeking a highly skilled software engineer with expertise in building AI-native applications. This role involves designing and optimizing workflows, collaborating with multidisciplinary teams, and utilizing modern development tools. Candidates should have over 5 years of experience in software engineering, with a strong focus on AI technologies. The ideal candidate will excel in full-stack development across various technologies, including React and Python, while managing cloud-native systems. This is a unique opportunity to shape the future of AI applications while ensuring robust engineering principles are at the forefront.

Qualifications

• 5+ years of professional software engineering experience, including at least 2 years building AI-powered systems.
• Strong background in full-stack technologies and modern front-end frameworks.
• Familiarity with AI and LLM development tools.

Responsibilities

• Design, prototype, and scale AI-native applications and agent-based systems.
• Optimize LLM-driven workflows with retrieval-augmented generation techniques.
• Partner with teams to translate experimentation into production-ready features.

Skills

Software engineering

AI-powered systems

Full-stack development

React

TypeScript

Python

Node.js

Go

SQL

NoSQL

Cloud-native architectures

Kubernetes

Docker

CI/CD workflows

Monitoring

Tools

Cursor

Claude Code

GitHub Copilot

LangChain

CrewAI

Job description

A tech solutions provider is seeking a highly skilled software engineer with expertise in building AI-native applications. This role involves designing and optimizing workflows, collaborating with multidisciplinary teams, and utilizing modern development tools. Candidates should have over 5 years of experience in software engineering, with a strong focus on AI technologies. The ideal candidate will excel in full-stack development across various technologies, including React and Python, while managing cloud-native systems. This is a unique opportunity to shape the future of AI applications while ensuring robust engineering principles are at the forefront.