Lead the design and build of advanced generative AI systems, spanning LLM-powered applications, multi-agent workflows, RAG, and domain-specific reasoning engines
Architect and own robust APIs and platform capabilities that bring AI to real business workflows at enterprise scale
Drive the engineering of high-quality data, feature, and evaluation pipelines that support reliable and continuously improving AI behavior
Partner with data scientists, platform engineers, and product leaders to transform conceptual ideas into resilient, testable, observable production systems
Set engineering standards and elevate team culture, emphasizing clarity, craftsmanship, iteration, and objective measures of excellence
Mentor other engineers and guide teams through complex technical decision-making
Serve as a thought leader on the practical application of generative AI technologies, emerging patterns, and their fit within our ecosystem
Champion observability, measurement, and operational excellence, ensuring deployed systems are trustworthy, maintainable, and high-performing
Stay at the forefront of AI/ML advancements and help the organization understand the right time, and the right way, to adopt new technologies

Requirements

Bachelor’s or Master’s in Computer Science, Engineering, or a related quantitative field
10+ years of professional software or platform engineering experience
Deep expertise in Python, including building production services and shared libraries used by others
Hands-on experience with modern AI systems, including LLM integration, RAG, embeddings, and applied generative AI patterns
Strong background in machine learning engineering, including model deployment, monitoring, evaluation, and lifecycle management
Expert-level understanding of FastAPI, Flask, or similar frameworks, and REST/gRPC service design
Strong proficiency with cloud-native development on AWS, GCP, or Azure
Minimum 5 years of containerization and orchestration experience (Docker, Kubernetes)
Production experience with CI/CD pipelines, version control, and modern DevOps practices
Demonstrated ability to own large, ambiguous problems and deliver high-value, high-quality solutions

Benefits

medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
short-term and long-term disability
life insurance and many other opportunities

Applicant Tracking System Keywords

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

Hard Skills & Tools

PythonLLM integrationRAGembeddingsgenerative AImachine learning engineeringmodel deploymentFastAPIFlaskDocker

Soft Skills

mentoringtechnical decision-makingteam cultureclaritycraftsmanshipiterationoperational excellencethought leadershipcommunicationproblem-solving

Certifications

Bachelor’s in Computer ScienceMaster’s in Computer Science