AI-DNA Staff Full Stack Engineer
IGNITETECH9 CORPORATION
United States
20 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Software Applications
Systems Engineering
Software as a Service
Cloud Computing
Code Review
Cursor (Graphical User Interface Elements)
Cloud Services
Software Engineering
Enterprise Software Applications
+2 more
ReactJS
Large Language Models
Job description
- 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., 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
Requirements
- 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.
About the company
The future of software engineering isn’t writing more code - it’s building AI systems that write, test, and improve software alongside you.
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.
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Apply on arc.dev
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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