AI Software Engineer $200,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
The marketing and community engagement world is still stuck in the past. Most companies rely on bloated teams and outdated tools to manually create content, moderate discussions, and extract insights from scattered interactions. Despite the explosion of AI capabilities, the average time to implement even a basic automation is weeks, and the outcome is often a "pilot" that never sees daylight. The result is missed opportunities, burned out teams, and tech stacks that can't keep up with the velocity of modern business.
IgniteTech tearing that model apart. Our approach is to replace manual operations with self-improving, AI-native systems that execute at 10x scale and speed. Imagine a marketing engine that drafts and publishes content based on real-time trends, or a community platform that summarizes, moderates, and routes insights in seconds, all created, deployed, and iterated by a lean team of AI power coders in 24-hour sprints. We don't just prototype; we ship real tools that immediately transform how work gets done.
This role isn’t for someone who wants to tweak Jira tickets inside a DevOps hamster wheel. You won't be handed a spec to execute. Instead, you'll own the entire lifecycle of intelligent systems that automate and evolve our client operations. You’ll identify pain points, architect AI-first solutions, ship MVPs in under a day, and harden them into production-ready engines with real impact. If you’re looking for a sandbox to experiment with GenAI, this isn’t it. But if you want to wield GenAI like a weapon, then you’ll find what you’re looking for here.
You’ll be joining a small, elite team rewriting the operating model of entire business functions with AI at the core. You’ll collaborate directly with decision-makers, move fast, and measure your work in real-world outcomes. If that sounds like your kind of environment, apply now!
What you will be doing
- Build and ship functional AI prototypes in under 24 hours that immediately automate real business workflows
- Own AI solutions end-to-end, from design to deployment to monitoring, without hand-holding or bottlenecks
- Drive continuous automation across the business by identifying new opportunities and iterating on past solutions to keep pace with evolving needs and capabilities
Key responsibilities
- Build a completely reimagined, AI-powered ecosystem that transforms manual marketing operations and community platforms into intelligent engines delivering 10x business impact
Candidate requirements
- AI-First Mindset (if your instinct is to write code first and then use AI tools to verify or enhance your code, rather than the other way around, then please do not apply)
- At least 5 years of software engineering experience
- Professional experience integrating AI/LLMs (via APIs, prompt engineering, or automation) into real-world applications
- Proficiency with cloud infrastructures (AWS, GCP, or Azure) and building scalable, distributed solutions
How it works
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.
STEP 1
Pass Cognitive Aptitude Test.
STEP 2
Pass English Proficiency Test.
STEP 3
Prove Real-World Job & AI Skills.
STEP 4
Ace An Interview Or Two.
STEP 5
Accept Job Offer.
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Why Crossover
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.
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