Applied AI Engineer

Join DeepIntent as an Applied AI Engineer, where you'll work directly with our US commercial and operational teams to build an AI-powered operating system. In this role, you'll design, build, and deploy AI agents to automate administrative workflows, identify high-value automation opportunities, and serve as the technical point of contact for non-technical stakeholders. You'll also create and maintain technical documentation, monitor deployed solutions, and proactively identify opportunities for improvement. This is an ideal role for someone passionate about applied AI and excited to make an immediate impact.

• 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.
• Prototype, iterate, and ship working solutions quickly — moving from problem to deployed tool with minimal overhead.
• 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
• Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next
• Bachelors or Masters degree in Computer Science, Mathematics or Engineering
• Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently
• Comfortable working with RESTful APIs, MCP servers, and integrating third-party services
• Strong communicator who can work fluidly across business and engineering functions
• Based in or able to work effectively within Eastern Time (EST)
• 2+ years of hands-on software development experience, including internships, co-ops, or personal projects with deployed, real-world applications
• Comfortable with ambiguity — you can scope your own work and adapt as priorities shift
• Understanding of prompt engineering best practices
• 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)