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
Not accepting applications on crossover.com at this time.
Description
Traditional software development practices have historically constrained project timelines, with approximately 30% of initiatives running over schedule due to process inefficiencies and coding errors. The industry now faces mounting pressure to accelerate delivery cycles, minimize defects, and improve overall code standards—factors that directly influence market responsiveness and client satisfaction.
IgniteTech is spearheading a strategic shift by deploying advanced GenAI capabilities to fundamentally reshape how software systems are architected and built. This position diverges from conventional engineering roles focused on iterative refinement. Instead, you will drive transformative AI initiatives that redefine development workflows, delivering measurable gains in efficiency and competitive positioning at an organizational scale.
This is a leadership role for professionals who seek to operate at the vanguard of technological innovation. It is not structured around routine execution or tactical assignments; the emphasis is on research, experimentation, prototyping, and applying artificial intelligence to architect next-generation software platforms. We seek candidates who combine deep technical expertise in AI and system design with a strategic vision for technology-enabled business transformation.
You will guide our engineering team in defining architectural blueprints and integration strategies that embed AI throughout our software portfolio. Your contributions will be central to our organizational objectives, with direct impact on the speed and quality of what we deliver. If you are motivated to expand the limits of what technology can achieve and committed to driving measurable change in the software sector, we encourage you to apply.
What you will be doing
- Architect comprehensive frameworks for AI-powered systems that automate sophisticated elements of the software development lifecycle, including architecture synthesis, dependency orchestration, and predictive code generation.
- Engage deeply with emerging trends in artificial intelligence and software engineering through research and development efforts, conference participation, and collaboration with academic and industry networks. Staying informed about new AI technologies as they emerge is a core expectation of this role.
What you will NOT be doing
- Routine Code Maintenance: Ongoing updates or debugging of legacy codebases to address minor defects or incremental enhancements.
- Standard Software Development: Conventional programming assignments that deliver basic features or capabilities without AI-driven innovation.
Key responsibilities
- Apply your engineering knowledge to deliver substantial gains in development velocity, error reduction, and code quality standards, thereby accelerating product launch timelines and strengthening customer satisfaction metrics.
Candidate requirements
- At least 3 years of experience as a full-stack software developer (you must have both front-end and back-end coding expertise)
- Experience using GenAI code assistants heavily (e.g., Github Copilot, Cursor.sh, v0.dev)
- Previous experience successfully implementing Generative AI products/projects/solutions/tools
- Previous experience leveraging different LLMs (e.g., GPT, Claude, Mistral) to solve business problems
- An understanding of when and why to choose specific LLM models for different tasks
- Demonstrated understanding and prior application of the Model Context Protocol (MCP)
Meet the hiring manager
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Chat-style
screening interview.
Cognitive 
aptitude test.
Prove real-world 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
Frequently asked questions
About the role
Reviews
Meet some people who've landed similar jobs
Recruitment sucks. So we’re fixing it.
The Olympics of work
It’s super hard to qualify—extreme quality standards ensure every single team member is at the top of their game.
Premium pay for premium talent
Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.
Shortlist by skills, not bias
We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.
Join the world's largest community of 
AI-first remote workers.