
AI-DNA Staff Full Stack Engineer
IgniteTech · 2 locations
Show all 2 locations
About this role
The candidate will design and deliver enterprise-grade features using a stack including Java, React, APIs, and cloud services. The role involves building AI engineering systems to automate software development, testing, code reviews, and delivery. As a Staff Engineer, the position involves leading technical direction, mentoring engineers, and partnering with product leadership to turn ideas into production features. The work environment is focused on an AI-native engineering model where engineers build workflows and guardrails for AI agents. The team is a global, fully remote team working on enterprise SaaS products.
Skills & technologies
Must have
- Java
- React
- Cloud-native
- LLM
- AI APIs
- Claude Code
- Cursor
- Codex
Read full description
We're building products with an AI-native engineering model. AI agents own large portions of the development lifecycle, while engineers build the workflows, context, and guardrails that make those agents successful.
We're looking for a Staff Full Stack Engineer to lead by example—building enterprise software while creating the AI engineering systems that multiply the productivity of the entire team.
What You'll Do
- Design and deliver enterprise-grade features across Java, React, APIs, cloud services, and AI-powered workflows.
- Build AI engineering systems that automate software development, testing, code reviews, and delivery.
- Lead technical direction, mentor engineers, and raise engineering quality across the team.
- Partner closely with product leadership to rapidly turn ideas into production features.
- Continuously improve engineering velocity through AI, automation, and reusable development workflows.
- 5+ years of full-stack software engineering with strong technical leadership experience.
- Deep expertise in Java, React, cloud-native development, and enterprise SaaS.
- Experience building AI-powered applications using LLMs, agents, or modern AI APIs.
- Advanced user of AI engineering tools such as Claude Code, Cursor, Codex, or similar.
- Strong architectural judgment, ownership, and product mindset.
- Experience mentoring engineers, reviewing code, and driving technical excellence.
You'll help define how enterprise software is built in the AI era. Rather than simply delivering features, you'll build AI-native engineering systems that allow small teams to produce the output of organizations many times their size.
- AI-first engineering
- No limits on AI tooling or compute
- Fully remote
- Enterprise SaaS
- Global team