Senior Staff Machine Learning Engineer

• Design and implement AI platforms to enable scalable and secure access to LLMs from multiple model providers for diverse use cases
• Design and implement agentic workflows, agentic tool ecosystems, and LLM prompt management solutions
• Design, build, and optimize scalable model training, fine tuning, and inference pipelines, ensuring robust integration with production systems
• Influence technical strategy and approach to developing embedding stores, vector databases, and other reusable assets
• Lead initiatives to streamline ML and AI workflows, improve operational efficiency, and establish standardized procedures to achieve consistent, high-quality results across our AI systems
• Design and develop backend services and RESTful APIs using Python and FastAPI, integrating seamlessly with ML pipelines and services
• Take operational responsibility for team-owned services, including performance monitoring, optimization, troubleshooting, and participation in an on-call rotation
• Collaborate with both technical and non-technical colleagues, including data and applied scientists, software engineers, product managers, and business stakeholders, to deliver reliable and scalable ML-driven products
• Coach and mentor fellow ML engineers, promoting a culture of collaboration, continuous improvement, and engineering excellence within the team
• Employ a diverse set of tools and platforms including Python, AWS, Databricks, Docker, Kubernetes, FastAPI, Terraform, Snowflake, Coralogix, and GitHub to build, deploy, and maintain scalable, highly available machine learning infrastructure

• 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields
• Experience emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation
• Extensive experience designing, developing, and operating scalable backend systems
• Experience applying software engineering best practices such as domain-driven design, event-driven architectures, and microservices
• Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices
• Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design
• Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices
• Strong leadership skills, including effective planning and management of complex projects, mentoring of team members, and fostering a collaborative, high-performing engineering culture
• Excellent communicator, able to articulate complex technical concepts clearly to both technical and non-technical stakeholders
• Bachelor's degree in Computer Science, Software Engineering, or a related technical field (preferred)
• Proficient in Python and provisioning cloud-based infrastructure via code (AWS preferred)

Sense of humor is optional but appreciated

• Competitive pay
• Comprehensive healthcare benefits
• Financial assistance for things like hybrid work, family planning
• Generous parental leave
• Flexible time-off policies
• Mental health and wellness resources
• Learning, development, and recognition programs