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The marketing and community engagement landscape remains anchored to outdated methods. Companies still depend on oversized teams and legacy tools to manually generate content, manage community discussions, and pull insights from fragmented interactions. Even with AI's rapid advancement, deploying a simple automation typically takes weeks, often resulting in a "pilot" that never reaches production. The consequences include lost opportunities, exhausted teams, and technology infrastructure unable to match the pace of modern business demands.
IgniteTech is dismantling that paradigm. We replace manual workflows with self-optimizing, AI-first systems that operate at 10x the scale and velocity. Picture a marketing operation that generates and releases content driven by real-time market signals, or a community hub that consolidates, moderates, and channels insights within seconds—all built, launched, and refined by a compact team of AI-fluent engineers working in 24-hour cycles. We move beyond prototyping; we deliver functional tools that immediately reshape operational realities.
This position is not for those seeking to manage Jira queues within a traditional DevOps cycle. You won't receive predefined specifications to implement. You will instead take full ownership of intelligent systems that automate and advance our client operations. You'll surface operational bottlenecks, design AI-centric solutions, deliver MVPs in less than a day, and mature them into production-grade engines with measurable impact. If your goal is a testing ground for GenAI experiments, look elsewhere. But if you intend to deploy GenAI with precision and force, this is your opportunity.
You'll join a focused, high-caliber team reengineering entire business functions with AI as the foundation. You'll work directly with stakeholders, operate at high velocity, and evaluate your contributions through tangible business results. If this describes your ideal setting, submit your application now.
What you will be doing
- Deliver working AI prototypes within 24 hours that instantly automate actual business processes
- Take complete ownership of AI solutions from concept through deployment and monitoring, with full autonomy and no bureaucratic delays
- Continuously expand automation coverage by discovering new use cases and refining existing solutions to align with changing requirements and emerging capabilities
Key responsibilities
- Construct a fully reimagined, AI-driven ecosystem that converts manual marketing workflows and community platforms into intelligent systems producing 10x business value
Candidate requirements
- AI-First Mindset (if your default approach is to write code manually and then employ AI tools for validation or refinement, rather than leading with AI, please do not apply)
- A minimum of 5 years in full-stack software engineering (you must possess both front-end and back-end development capabilities)
- Professional experience embedding AI/LLMs (through APIs, prompt engineering, or automation) into production applications
- Expertise with cloud platforms (AWS, GCP, or Azure) and developing scalable, distributed architectures
- Knowledge of when and why to select particular LLM models for different use cases
- Proven understanding and practical application of the Model Context Protocol (MCP)
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.
Accept job offer.
Pass proctored test.
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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
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