Sr Engineer, AI

Pilot's Senior AI Engineer

Drive technical decisions, own complex projects, demonstrate deep expertise in AI/ML systems and mentor junior engineers while delivering high-impact solutions.

• Lead complex projects and influence technical direction.
• Mentor junior engineers and share knowledge across teams.
• Architect scalable AI solutions with performance optimization.
• Collaborate with product, research, and platform teams for cross-functional impact.
• Design and implement end-to-end AI applications using modern web frameworks and cloud-native architectures.
• Lead implementation of complex front-end interfaces with advanced React.js patterns.
• Design robust backend services with event-driven architectures using AWS services.
• Implement gRPC and GraphQL microservices and optimize system performance.
• Ensure application security, performance optimization, and scalability across the full stack.
• Design and optimize ML model deployment strategies for production scale.
• Establish MLOps best practices including automated testing and evaluation.
• Implement comprehensive monitoring using Cloud Watch, Prometheus, and Grafana.
• Optimize model performance and cost efficiency.
• Lead infrastructure design with Terraform IaC and multi-cloud strategies.
• Research and implement state-of-the-art generative AI models and agent architectures.
• Build sophisticated multi-agent orchestration systems.
• Develop advanced RAG systems with performance optimization.
• Create agent evaluation frameworks measuring performance, reliability, and safety.
• Drive prompt engineering strategies and multi-modal AI applications.
• Lead integration of LLM APIs and open-source models with optimization techniques.

• 4-6 years of full‑stack development with React, Next.js, Type Script, and Node.js.
• 3+ years of ML engineering and production model deployment experience.
• Extensive AWS experience with advanced services and architectures.
• Deep understanding of AI/ML fundamentals and generative AI systems.
• Experience with system design and performance optimization.

• Nation‑wide Medical Plan/Dental/Vision.
• 401(k). Flexible Spending Accounts.
• Employee Fuel Discount.
• Adoption Assistance.
• Tuition Reimbursement.
• Onsite Gym and Cafeteria.
• Weekly Pay.

All your information will be kept confidential according to EEO guidelines.

This position requires candidates to be legally authorized to work in the United States without employer sponsorship.