AI Software 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
Software development continues to transform at an accelerating pace, shaped by the need to increase velocity, minimize errors, and improve code standards. These improvements directly impact product launch timelines and customer experience. Historically, deployment cycles have been delayed by conventional methods, with roughly 30% of initiatives running over schedule because of process gaps and defects.
IgniteTech is driving this shift by embedding cutting-edge GenAI capabilities into software architecture and engineering practices. This position moves beyond incremental refinement—it provides the opportunity to spearhead transformative AI initiatives. You will work on the leading edge, applying AI not simply to optimize but to fundamentally reshape how software is built, delivering substantial gains in operational efficiency and market position.
This is a role built for individuals committed to advancing the frontier of technology. It is not focused on routine execution or narrowly defined tasks; rather, it is a strategic function centered on sustained research, prototyping, and the deployment of AI in next-generation software systems. We seek candidates who combine deep expertise in AI and software design with the vision to translate technology into business advantage.
You will guide our team in defining the architectural models and integration strategies that embed AI throughout our software offerings. This work is central to our objectives, and your contributions will shape both the speed and caliber of what we deliver. If you are committed to expanding what technology can achieve and ready to drive measurable progress in the software sector, we encourage you to apply.
What you will be doing
- Architect end-to-end frameworks for AI-powered systems that automate sophisticated elements of software engineering, including architecture synthesis, dependency resolution, and intelligent code prediction.
- Engage deeply with emerging trends in AI and software development through dedicated R&D, conference participation, and collaboration with academic and industry networks. When breakthrough AI capabilities emerge, we expect to be among the earliest adopters.
What you will NOT be doing
- Routine Code Maintenance: Ongoing updates or debugging of existing codebases to address minor defects or incrementally enhance functionality.
- Standard Software Development: Conventional programming assignments that deliver basic features or capabilities without meaningful AI involvement.
Key responsibilities
- Apply your engineering knowledge to achieve measurable gains in development velocity, error reduction, and code quality—directly accelerating product delivery cycles and elevating customer satisfaction.
Candidate requirements
- A minimum of 3 years of full-stack software development experience (proficiency in both front-end and back-end implementation is required)
- Substantial hands-on use of GenAI code assistants (e.g., Github Copilot, Cursor.sh, v0.dev)
- Proven track record of successfully delivering Generative AI products, projects, solutions, or tools
- Demonstrated experience applying various LLMs (e.g., GPT, Claude, Mistral) to address business challenges
- Clear understanding of the rationale and criteria for selecting particular LLM models for specific use cases
- Established knowledge and practical application of the Model Context Protocol (MCP)
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