Help architect and deliver AI-native platforms
Play a key technical leadership role in evolving traditional SaaS patterns
Partner closely with Product and Engineering leadership
Contribute to architectural direction
Ensure platforms can support large language models (LLMs), agentic workflows, and AI-driven capabilities at scale
Design and build scalable, cloud-native microservices
Contribute to the technical roadmap for AI-native systems
Build and operate production-grade AI/ML systems
Partner on architectural planning for AI agents and inference optimization
Establish best practices for observability, resiliency, and cloud-native deployments
Improve CI/CD automation and developer workflows
Translate AI-first product direction into production-ready technical plans
Lead and contribute to cross-team initiatives spanning multiple engineering domains
Help set engineering standards for modern AI system design
Stay current on emerging AI approaches and apply useful techniques

Requirements

8+ years of professional software engineering experience
2+ years operating in a Staff-level (or equivalent) capacity
Proven track record shipping complex systems beyond basic CRUD applications
Strong expertise in distributed systems, system design, and performance optimization
Hands-on experience building or deploying production AI/ML features using LLMs, agentic frameworks, or similar technologies
Strong proficiency in Java, Scala, or Python
Experience with Kubernetes, container orchestration, and cloud platforms (AWS, GCP, or Azure)
Experience with vector search / vector databases (for example Pinecone, Milvus, Weaviate) and AI infrastructure at scale
Strong understanding of CI/CD automation and AI-augmented development workflows
Bachelor's or Master’s degree in Computer Science, Engineering, or equivalent practical experience
Strong communication skills and the ability to influence technical and non-technical partners.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AI-native platformsSaaS patternslarge language modelscloud-native microservicesAI/ML systemsinference optimizationCI/CD automationJavaScalaPython

Soft Skills

technical leadershipcommunication skillsinfluencecollaborationcross-team initiatives

Certifications

Bachelor's degree in Computer ScienceMaster’s degree in Engineering