Applied AI Engineer
Build and deploy AI agents and automations that streamline commercial operations. Partner with business teams to translate operational pain points into practical LLM-powered solutions.
About the job
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.
- Scripting language (i.e. Python) proficiency — you can write scripts, build lightweight automations, and debug independently.
- Understanding of prompt engineering best practices.
- Naturally curious and proactive — you seek out problems, propose solutions, and don’t wait to be told what to build next.
- Strong communicator who can work fluidly across business and engineering functions.
- Comfortable with ambiguity — you can scope your own work and adapt as priorities shift.
- Based in or able to work effectively within Eastern Time (EST).
Compensation & Benefits
- Competitive base salary range of $105,000 - $120,000
- Annualized bonus plan
- Comprehensive medical, dental, and vision insurance
- 401K match program
- Unlimited PTO policy and paid holidays
- Remote friendly culture with flexible work options
- Career development and advanced education support
- WFH and internet stipends
Skills
Python, OpenAI, Anthropic Claude, LLMs, REST APIs, Prompt Engineering, Workflow Automation
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