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 Most companies rely on bloated teams and outdated tools to manually create content, moderate discussions, and extract insights from scattered interactions.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 full-stack software engineering experience (you must have both front-end and back-end coding expertise)
• 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
• An understanding of when and why to choose specific LLM models for different tasks
• Demonstrated understanding and prior application of the Model Context Protocol (MCP)