AI Engineer

About Titan:

Titan is an AI holding company transforming IT services with its Augmented AI platform. We acquire and partner with the best Managed Service Providers (MSPs) and embed AI at the core of their operations, empowering technicians to work faster, smarter, and more strategically. Our augmented AI platform enables MSPs to scale like technology companies while delivering faster resolutions, better uptime, and more proactive, personalized support for their customers.

In under a year, we’ve raised over $70M from General Catalyst, acquired market-leading MSPs like RFA, and deployed agents seeing real-world impact to productivity. Our team bring together AI product expertise from Scale AI, Google, MIT, and Stanford with private equity experience from H.I.G. Capital and seasoned MSP executives who have led some of the industry’s top providers. Joining Titan means helping to redefine how work is done in IT Services and building a $100B company.

About The Role:

As an AI Engineer at Titan, you’ll play a pivotal role in shaping the future of AI-powered IT service delivery. You’ll work across the stack to build intuitive, high-impact products that blend human expertise with autonomous AI agents, transforming how managed service providers (MSPs) operate. This is an opportunity to join an early-stage team, have meaningful product ownership, and help define the engineering culture as we scale.

What You Will Do:

• Design, build, and optimize AI models that enhance automation and decision-making for IT operations.

• Work closely with design and product teams to build user-centric experiences that empower technicians and enhance service delivery.

• Research and experiment with cutting-edge AI techniques to improve model accuracy and performance.

• Collaborate with AI and backend engineers to integrate our AI-powered platform into customer-facing tools.

• Make key technical decisions around model architecture, training infrastructure, and AI best practices.

• Ship fast and iterate, balancing speed with quality in a fast-paced, startup environment.

Who You Are:

• 4+ years of experience in AI/ML engineering, with hands-on experience in training, deploying, and optimizing models.

• Comfortable working with large datasets and deploying models in production environments.

• Startup mindset—comfortable with ambiguity, eager to take ownership, and ship quickly.

• Experience working closely with designers and product managers to bring ideas to life.

• Bonus: Experience with LLMs, fine-tuning, prompting, model distillation, or AI agents is a plus.