Technical Lead $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 practices. Organizations continue to depend on oversized teams and antiquated platforms to manually produce content, manage discussions, and synthesize insights from fragmented data sources. Even with AI advancements widely accessible, the typical deployment timeline for basic automation stretches into weeks, frequently culminating in a "pilot" that never reaches production. The consequences include lost opportunities, exhausted personnel, and infrastructure unable to match the pace of contemporary business demands.
IgniteTech is dismantling this paradigm. We replace labor-intensive processes with AI-native, self-optimizing systems that operate at 10x the scale and velocity. Consider a marketing infrastructure that generates and distributes content driven by real-time market signals, or a community ecosystem that synthesizes, curates, and channels insights within seconds—all developed, launched, and refined by a compact team of AI-proficient engineers working in 24-hour cycles. Our focus is not on prototyping; we deliver production-grade tools that immediately redefine operational workflows.
This position is not suited for someone seeking to manage Jira backlogs within conventional DevOps frameworks. You will not receive detailed specifications to implement. Rather, you will control the complete lifecycle of intelligent automation systems that transform client operations. Your mandate includes diagnosing operational friction, designing AI-centric architectures, delivering MVPs within a single day, and evolving them into robust production engines with measurable impact. If your goal is a testing ground for GenAI experimentation, look elsewhere. But if you intend to leverage GenAI as a strategic tool for decisive execution, this is your opportunity.
You will join a select team reimagining entire business functions with AI as the foundation. You will engage directly with leadership, operate at high velocity, and evaluate success by tangible business outcomes. If this environment aligns with your ambitions, submit your application today.
What you will be doing
- Design and deploy functional AI prototypes within 24 hours that immediately automate operational business processes
- Manage AI solutions across their full lifecycle—from conception through deployment to ongoing monitoring—without dependency on external oversight or procedural delays
- Sustain and expand automation coverage by proactively identifying new use cases and refining existing solutions to align with changing business requirements and emerging AI capabilities
Key responsibilities
- Architect and implement a fully reconceived, AI-driven ecosystem that converts manual marketing operations and community platforms into intelligent systems generating 10x business value
Candidate requirements
- AI-First Mindset (if your default approach is to write code manually before leveraging AI tools for validation or refinement, rather than beginning with AI-assisted generation, do not apply)
- Minimum 5 years of full-stack software engineering experience (you must possess proficiency in both front-end and back-end development)
- Professional experience integrating AI/LLMs (through APIs, prompt engineering, or automation frameworks) into production applications
- Proficiency with cloud platforms (AWS, GCP, or Azure) and constructing scalable, distributed architectures
- Understanding of how to select appropriate LLM models based on task requirements and performance criteria
- Proven knowledge 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 
job skills.
Interview with the hiring manager.
Pass
proctored test.
Accept job offer.
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