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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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

3:39 min

Addressing code review surrender and process exploitation

Laura Tacho Laura Tacho · World Congress 2026 Europe

2:41 min

Transitioning artificial intelligence infrastructure into scalable commodity cloud services

juarezjunior juarezjunior · World Congress 2024

1:28 min

Directing mixed intelligence as an AI-native engineer

Ayotunde Obasa Ayotunde Obasa · Europe 2026 Virtual

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall · JS Congress

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