Staff AI Engineer

Accountabilities

• Take ownership of the technical direction and execution of AI-driven systems, helping define scalable architectures and engineering practices across the organization.
• Act as a technical force multiplier by solving complex challenges, mentoring engineers, and building reliable AI infrastructure.
• Design and develop core AI system architectures that support multiple product areas, ensuring scalability, reliability, and reuse.
• Establish engineering standards, evaluation frameworks, testing strategies, and shared infrastructure for AI and machine learning systems.
• Identify and proactively address technical challenges, improving system performance and preventing future engineering issues.
• Own the development of complex AI solutions, including conversational agents, deep learning models, and personalization systems.
• Partner with product, engineering leadership, and research teams to translate complex business goals into effective technical solutions.
• Raise the technical capabilities of the engineering organization through design reviews, code reviews, and knowledge sharing.

Requirements

• The ideal candidate is a highly experienced AI engineer with strong software engineering fundamentals and a passion for solving challenging technical problems.
• You bring experience building production AI systems and influencing technical decisions across teams.
• 8+ years of professional experience developing AI and machine learning systems in production environments.
• Proven ability to lead complex technical initiatives spanning multiple teams, systems, or platforms.
• Strong expertise in software engineering principles, including system design, testing, CI/CD, debugging, and scalable architecture.
• Experience building and deploying LLM-powered applications, generative AI solutions, AI agents, RAG systems, and advanced prompt engineering workflows.
• Experience designing AI evaluation frameworks, monitoring systems, and shared tooling for machine learning applications.
• Strong programming skills in Python and familiarity with software engineering best practices.
• Experience working with cloud environments, including AWS services and serverless technologies.
• Knowledge of relational databases and production data systems.
• Ability to mentor senior engineers and influence technical strategy without direct management responsibility.
• Strong communication skills with the ability to collaborate across technical and non-technical teams.
• Experience with voice AI, multimodal models, or specialized language models is a plus.
• Bachelor’s or Master’s degree in Computer Science, Statistics, or a related technical field preferred.

Benefits

• Competitive annual compensation ranging from $250,000 to $265,000 USD.
• Opportunity for equity participation.
• Fully remote work environment with a global and collaborative team.
• Work on impactful AI technology solving meaningful real-world challenges.
• Unlimited vacation policy with manager approval.
• 16 weeks of fully paid parental leave for delivering parents and 8 weeks for non-delivering parents.
• 100% employer-sponsored healthcare, dental, and vision coverage for employees, with family coverage support.
• Health Savings Account (HSA) and Flexible Spending Account (FSA) options.
• 401(k) retirement savings plan with employer contribution.
• Healthy living and wellness stipend.
• Mobile phone bill stipend.
• Continuing education credits and professional development opportunities.