Staff AI Engineer, AI Engineering

7+ years in software engineering, with recent focus on AI/ML solutions, automation, or platform engineering. Strong proficiency in Python and experience with modern AI technologies including LLMs (OpenAI, Anthropic Claude, etc.), agentic orchestration frameworks, and RAG architectures. Comfortable working with APIs, integration patterns, and data management. Hands-on experience integrating with business systems such as CRM (Salesforce), marketing automation (Marketo, HubSpot), and support platforms (Zendesk). Understanding of enterprise data models and workflows. Deep understanding of multiple business functions (Sales, Marketing, Customer Success, Finance, Operations). Track record of owning complex initiatives from discovery through delivery. Ability to scope MVPs, prioritize ruthlessly, and deliver iteratively. Strong analytical skills with ability to define KPIs, measure impact, and use data to drive decisions. Excellent written and verbal communication skills. Self-starter who takes ownership and moves fast. Effective in distributed, asynchronous work environments.

Own end-to-end delivery of AI initiatives from requirements to deployment. Design, develop, and deploy AI-powered solutions with a focus on rapid iteration and ROI. Build on top of modern AI platforms and integrate AI capabilities into existing business systems via APIs. Partner with business stakeholders across multiple functions to understand needs and identify AI impact opportunities. Define success metrics, track adoption, and demonstrate ROI. Contribute to technology selection, architectural decisions, and the technical roadmap. Set technical standards, document solutions, and create reusable frameworks. Provide mentorship and technical guidance to junior engineers as the team grows. Stay current with AI innovations and evaluate new technologies.