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
Not accepting applications on crossover.com at this time.
Description
Marketing and community engagement operations remain anchored to legacy approaches. Organizations depend on oversized teams and obsolete platforms to produce content manually, manage online discussions, and gather insights from fragmented touchpoints. Even with advanced AI technologies now available, deploying a rudimentary automation still takes weeks, often culminating in a "pilot" that fails to reach production. The consequences include squandered opportunities, exhausted personnel, and technology infrastructures unable to match the pace of contemporary commerce.
IgniteTech is dismantling this outdated framework. We replace human-intensive processes with self-optimizing, AI-driven architectures that operate at ten times the scale and velocity. Picture a marketing system that generates and releases content aligned with live market trends, or a community hub that distills, governs, and channels feedback within seconds—all built, launched, and refined by a compact cohort of AI-proficient engineers working in twenty-four-hour cycles. We move beyond experimentation; we deliver functional tools that instantly redefine operational workflows.
This position is not designed for candidates seeking to manage backlog items within a conventional DevOps cycle. You will not receive pre-defined specifications to implement. Rather, you will assume complete ownership of intelligent systems that automate and advance client operations. Your mandate includes diagnosing operational friction, designing AI-centric architectures, launching minimum viable products within a single day, and maturing them into resilient, production-grade engines that generate measurable value. If your goal is merely to explore generative AI in a low-stakes setting, look elsewhere. However, if you intend to deploy GenAI as a strategic instrument, this opportunity aligns with that ambition.
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, execute rapidly, and evaluate your contributions through tangible business results. If this describes the environment you seek, submit your application today.
What you will be doing
- Develop and deploy working AI prototypes within twenty-four hours that automate authentic business processes immediately
- Assume full accountability for AI solutions from conception through deployment and ongoing monitoring, operating autonomously without procedural delays
- Propel sustained automation enterprise-wide by surfacing new use cases and refining existing solutions to align with changing requirements and technological advances
Key responsibilities
- Construct an entirely reimagined, AI-enabled infrastructure that converts manual marketing workflows and community platforms into adaptive engines generating tenfold business value
Candidate requirements
- AI-First Mindset (if your default approach is to author code manually before leveraging AI tools for validation or improvement, instead of the inverse, do not apply)
- A minimum of 5 years in full-stack software engineering (proficiency in both front-end and back-end development is mandatory)
- Hands-on experience embedding AI/LLMs (through APIs, prompt engineering, or automation frameworks) into production applications
- Competence with cloud platforms (AWS, GCP, or Azure) and architecting scalable, distributed systems
- Knowledge of when and why to select particular LLM models for distinct use cases
- Proven familiarity with and practical 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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