AI Software Engineer, IgniteTech (Remote) - $200,000/year USD

Step into the future of marketing and community engagement! While many are stuck in the slow lane, bogged down by outdated practices and cumbersome teams, we at IgniteTech are blazing a new trail. By harnessing the power of AI, we're revolutionizing the way businesses operate. Imagine systems that autonomously create, moderate, and analyze—all at lightning speed. This isn’t about endless pilot projects; it's about delivering transformative tools that redefine productivity.

Join us in shattering the old paradigms. We're on the hunt for innovators ready to build AI-driven solutions that propel businesses into the next level. Here, you won't be confined to tweaking specs or spinning in a DevOps cycle. Instead, you'll be at the helm, crafting intelligent systems that revolutionize client operations. If you're ready to wield GenAI like a master, this is your stage.

Become part of our elite team, where you'll work directly with decision-makers and drive change at the speed of thought. Are you ready to make a real-world impact? Apply now and let's transform the business landscape together!

What you will be doing

• Develop and deploy AI prototypes that automate business workflows in less than 24 hours.
• Take full ownership of AI solutions, overseeing everything from design to deployment and monitoring, without any micromanagement.
• Continuously drive automation by spotting new opportunities and refining existing solutions to match the ever-evolving needs and capabilities of our business.

What you will NOT be doing

Engaging in routine tasks or simply following pre-set specifications.

Key Responsibilities

• Craft an innovative AI-driven ecosystem that transforms traditional marketing and community operations into intelligent engines, amplifying business impact tenfold.

Candidate Requirements

• Possess an AI-First Mindset (if you prefer writing code first and using AI as a secondary tool, this role isn't for you).
• A minimum of 5 years in software engineering.
• Hands-on experience in integrating AI/LLMs into real-world applications via APIs, prompt engineering, or automation.
• Expertise in cloud infrastructures (AWS, GCP, or Azure) and building scalable, distributed solutions.

This position is also known as:

• Technical Lead
• Senior AI Engineer
• AI Solutions Architect