Senior AI Engineer

Key Responsibilities

• API-First Development: Design, implement, and maintain high-performance RESTful APIs that serve as the backbone for AI model orchestration and resource management.
• Full-Stack Ownership: Develop end-to-end features, from building responsive React/Next.js front-ends to engineering scalable Python/Go back-end services.
• Platform Design & Governance: Collaborate on the design of AI Platform components, ensuring that internal services are modular, discoverable, and capable of supporting LLM, RAG, and Agentic workflows.
• AI-Augmented Engineering: Proactively integrate AI coding assistants (e.g., Open Code, Cline, Roo, Cursor) and custom LLM agents into your daily workflow to automate boilerplate, generate tests, and conduct initial code reviews.
• Service Integration: Bridge the gap between low-level Kubernetes infrastructure and high-level user interfaces by creating middleware that abstracts complexity for the end user.
• System Architecture: Optimize the data flow between front-end dashboards, back-end metadata stores (PostgreSQL/Redis), and the underlying GPU-accelerated compute clusters.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
• Experience building and maintaining production backend services in a modern language (e.g., Python, Go, Java, C#).
• Experience designing, implementing, and operating REST APIs in production.
• Experience deploying and operating containerized services in Kubernetes.
• Experience collaborating across teams to deliver software from design through production.
• Must be a US Citizen.

Pay

Competitive compensation package including base salary, performance-based incentives, and benefits.

Schedule

Flexible work schedule to accommodate remote and onsite roles.

Benefits

Comprehensive benefits package including health insurance, retirement plans, and paid time off.