Lead AI Engineer $100,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
Traditional coding practices have long constrained the software development industry, with an estimated 30% of projects exceeding their planned timelines due to inefficiencies and errors. The average deployment cycle has historically suffered from delays, directly impacting product time-to-market and customer satisfaction. Accelerating development speed, minimizing human error, and improving code quality are now essential priorities for competitive advantage.
IgniteTech is at the forefront of this transformation, leveraging advanced GenAI technologies to fundamentally reshape software architecture and development workflows. This position extends far beyond incremental optimization. You will spearhead AI-driven initiatives that revolutionize—not merely enhance—how software is conceived, architected, and delivered, driving efficiency and strategic competitiveness across the organization.
This is a strategic role for those committed to operating at the cutting edge of technology and innovation. It is not task-oriented or operational in nature; instead, it demands extensive research and development, prototyping, and the strategic application of AI to build next-generation software solutions. We seek candidates who are not only technically proficient in AI and software architecture but also visionary in applying technology to unlock business innovation.
You will lead our team in defining the architectural frameworks and strategies that embed AI into our software ecosystem. Your contributions will be integral to our mission, directly shaping the productivity and quality of what we deliver. If you are passionate about redefining technological boundaries and eager to drive measurable impact in the software industry, we invite you to join us.
What you will be doing
- Architect comprehensive AI-driven systems that automate sophisticated aspects of software development, including architecture generation, dependency management, and advanced predictive coding capabilities.
- Immerse yourself in the forefront of AI and software engineering through R&D initiatives, conference participation, and active engagement with academic and professional networks. We expect you to be among the first to identify and assess emerging AI technologies as they become available.
What you will NOT be doing
- Routine Code Maintenance: Performing regular updates or debugging of existing codebases to address minor issues or incremental functionality improvements.
- Standard Software Development: Executing basic coding or development tasks that involve straightforward feature implementation without AI integration.
Key responsibilities
- Apply your engineering expertise to achieve measurable gains in development velocity, reduction of human error, and enhancement of code quality, resulting in accelerated time-to-market for software products and improved customer satisfaction.
Candidate requirements
- A minimum of 3 years of experience as a full-stack software developer (both front-end and back-end coding expertise required)
- Extensive hands-on experience with GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev)
- Proven track record of successfully implementing Generative AI products/projects/solutions/tools
- Demonstrated experience applying different LLMs (e.g., GPT, Claude, Mistral) to address business challenges
- Clear understanding of when and why to select specific LLM models for distinct tasks
- Verified understanding and practical application of the Model Context Protocol (MCP)
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