Salary
💰 $200,000 - $270,000 per year
Tech Stack
AWSCloudERPKubernetesPythonTerraform
About the role
- Act like a startup CTO, turning AI vision into robust, production-ready AI solutions that ship fast and deliver measurable wins for customers
- Design and develop AI applications primarily in Python
- Run evaluations to validate models and package solutions for Kubernetes, AWS, or adapt them to customer on-premises clusters
- Lead discovery sessions, guide pilot projects, and ensure successful deployments
- Collaborate mostly remotely with occasional on-site workshops and in-person gatherings
- Monitor system performance and reliability; add to logging, billing, and auth services
- Build internal tooling to automate repetitive tasks
- Provide feedback on patterns, pain points, and reusable modules to the core product team to influence the future direction of the AI platform
Requirements
- 5+ years of experience writing solid production-quality software
- Hands-on experience with LLMs and a solid understanding of machine learning fundamentals
- Strong customer empathy: ability to listen, ask insightful questions, and translate real-world pain points into intuitive technical designs
- Product-minded approach: focus on outcomes, comfortable shaping scope with product managers, defining success metrics, and making trade-offs to accelerate learning
- Excellent communication skills, able to engage effectively with executives and engineers both remotely and on-site
- Versatile problem-solver who thrives in ambiguous environments and enjoys rapid learning
- Nice to Have: Experience in forward-deployed or product-oriented roles
- Nice to Have: Exposure to regulated industries such as healthcare or finance
- Nice to Have: Proficiency with Terraform or Pulumi and experience across multiple cloud platforms
- Nice to Have: Experience integrating with ERP, CRM, or other large enterprise systems
- Nice to Have: Experience mentoring junior engineers or leading small technical teams