AI-DNA Senior Full Stack Engineer
IGNITETECH9 CORPORATION
United States
21 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Artificial Intelligence
Software as a Service
Cloud Engineering
Code Review
Continuous Integration
Cursor (Graphical User Interface Elements)
Software Debugging
Programming Tools
Cloud Services
Software Construction
+4 more
Enterprise Software Applications
ReactJS
Software Coding
Automation Anywhere
Job description
We’re building software with an AI-native engineering model. AI agents handle entire development workflows while engineers design the systems, context, and guardrails that make those agents successful.
We’re looking for a Senior Full Stack Engineer who wants to build enterprise software differently. You’ll own features end-to-end while continuously improving the AI workflows that accelerate development across the team.
What You’ll Do
- Design and deliver enterprise-grade features across Java, React, APIs, and cloud services.
- Build AI-powered development workflows that automate coding, testing, debugging, and code reviews.
- Own features from design through production with a strong focus on quality and customer experience.
- Mentor other engineers by sharing reusable AI workflows, tools, and best practices.
- Continuously improve engineering velocity through automation and AI., You’ll help define how enterprise software is built in the AI era. Instead of simply writing code faster, you’ll build AI-native engineering workflows that allow small teams to deliver at startup speed while supporting Fortune 100 customers.
- Fully remote
- Enterprise SaaS
- AI-first engineering
- Global team
- No limits on AI tooling
Requirements
- 4+ years of full-stack software engineering with strong Java and React experience.
- Experience building and shipping enterprise SaaS applications.
- Hands-on user of modern AI development tools such as Claude Code, Cursor, Codex, or similar.
- Strong software engineering fundamentals, including testing, code reviews, CI/CD, and cloud development.
- Product mindset with excellent ownership and communication skills.
- Passion for experimenting with new AI technologies and improving engineering productivity.
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