Applied AI Engineer

About the role

DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at www.deepintent.com.

What You’ll Do:

We are looking for an Applied AI Engineer to embed directly with our US commercial and operational teams building a human and agentic “operating system” that powers how we work as a company. In this role, you will be a builder and a problem-solver — someone who translates day-to-day operational pain points into practical AI agent and automation solutions that free up capacity for higher-value work.

This is an ideal role for someone who is passionate about applied AI, comfortable working across business and technical teams, and excited to see their work make an immediate and measurable impact.

Build & Deploy AI Agents and Automations

- Design, build, and deploy AI agents that automate administrative and repetitive workflows across commercial operations.

- Identify high-value automation opportunities by working directly with stakeholders to map processes and surface inefficiencies.

- Develop solutions using LLMs (e.g., OpenAI, Anthropic Claude), workflow automation tools, RESTful APIs, and Python scripting.

- Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.

Partner with Business Teams

- Serve as the technical point of contact embedded within commercial and PMO teams, building strong working relationships with non-technical stakeholders.

- Translate ambiguous business needs into clear technical requirements and executable solutions.

- Communicate progress, surface blockers, and present solutions in a way that is accessible to both technical and non-technical audiences.

Maintain & Document

- Create and maintain clear technical documentation for all tools, workflows, and integrations you build.

- Monitor deployed solutions and proactively identify opportunities to improve reliability, performance, and adoption.

Who You Are

- Bachelors or Masters degree in Computer Science, Mathematics or Engineering

- Hands-on experience with AI/LLM tools, including configuring and prompting models from providers such as OpenAI or Anthropic (i.e. you’ve successfully shipped a product or feature using Claude Code)

- 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications

- Comfortable working with RESTful APIs, MCP servers, and integrating third-party services.