Sr Engineer, AI

Pilot Company • Knoxville, TN

105d

About The Position

Pilot's Senior AI Engineer will drive technical decisions, own complex projects, demonstrate deep expertise in AI/ML systems and mentoring junior engineers while delivering high-impact solutions.

Requirements

• 4-6 years of full-stack development with React, Next.js, TypeScript, Node.js
• 3+ years of ML engineering and production model deployment
• 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

Responsibilities

• Leads complex projects and influences technical direction
• Guides junior engineers and shares knowledge across teams
• Architects scalable AI solutions with performance optimization
• Collaborates with product, research, and platform teams
• Architect 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 CloudWatch, 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

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Food and Beverage Retailers