Senior AI 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
Not accepting applications on crossover.com at this time.
Description
Marketing and community engagement operations remain trapped in legacy paradigms. Organizations continue to depend on oversized teams and obsolete tooling to produce content manually, moderate community activity, and mine insights from fragmented user interactions. Even with the recent surge in AI technology, deploying a simple automation typically requires weeks of effort, often culminating in a "pilot" initiative that never reaches production. The consequences include squandered opportunities, exhausted personnel, and technology infrastructure incapable of matching the pace of contemporary commerce.
IgniteTech is dismantling this outdated framework. We substitute manual processes with self-optimizing, AI-first architectures that operate at 10x the scale and velocity. Picture a marketing system that composes and distributes content in response to live market signals, or a community infrastructure that synthesizes, filters, and channels feedback within seconds—all built, launched, and refined by a compact team of AI-fluent engineers in 24-hour cycles. We move beyond experimentation; we deliver functioning tools that immediately redefine operational execution.
This position is not for candidates seeking to manage Jira workflows within a conventional DevOps cycle. You will not receive predefined specifications to implement. You will instead assume full ownership of intelligent systems that automate and advance our client operations. Your mandate includes pinpointing operational friction, designing AI-centric solutions, delivering MVPs in less than a day, and evolving them into robust production systems with measurable results. If your goal is a sandbox for GenAI experimentation, look elsewhere. But if you intend to deploy GenAI as a strategic instrument, you will find the right environment here.
You will join a compact, high-caliber team reconstructing the operational blueprint of entire business domains with AI as the foundation. You will engage directly with leadership, operate at high velocity, and evaluate your contributions through tangible business outcomes. If this aligns with your professional expectations, submit your application now!
What you will be doing
- Deliver functional AI prototypes within 24 hours that instantly automate operational business processes
- Assume complete ownership of AI solutions across the full lifecycle—from architecture through deployment and monitoring—without dependencies or friction
- Propel ongoing automation throughout the organization by surfacing fresh opportunities and refining existing solutions to align with shifting 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 first and subsequently use AI tools to verify or enhance your code, rather than the reverse, then please do not apply)
- A minimum of 5 years of full-stack software engineering experience (you must possess both front-end and back-end development skills)
- Professional experience embedding AI/LLMs (through APIs, prompt engineering, or automation) into production applications
- Proficiency with cloud platforms (AWS, GCP, or Azure) and constructing scalable, distributed architectures
- An understanding of when and why to select particular LLM models for distinct use cases
- Demonstrated understanding and prior application of the Model Context Protocol (MCP)
Applying for a role? Here’s what to expect.
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Prove real-world 
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Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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