Sr Engineer, AI

Pilot Company is an industry-leading network of travel centers with more than 30,000 team members and over 750 retail and fueling locations in 44 states and six Canadian provinces. Our energy and logistics division serves as a top supplier of fuel, employing one of the largest tanker fleets and providing critical services to oil operations in our nation's busiest basins. Pilot Company supports a growing portfolio of brands with expertise in supply chain and retail operations, logistics and transportation, technology and digital innovation, construction, maintenance, human resources, finance, sales and marketing.

Founded in 1958 by Jim A. Haslam II and currently led by CEO Adam Wright, our founding values, people-first culture and commitment to giving back remains true to us today. Whether we are serving guests, a fellow team member, or a trucking company, we are dedicated to fueling people and keeping North America moving.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or any other characteristic protected under applicable federal, state, or local law.

Military encouraged to apply.

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.

Key Responsibilities & Scope

• Technical Leadership: Leads complex projects and influences technical direction
• Mentorship: Guides junior engineers and shares knowledge across teams
• System Design: Architects scalable AI solutions with performance optimization
• Cross-functional Impact: Collaborates with product, research, and platform teams

Full Stack Development

• Architect end-to-end AI applications using modern web frameworks and cloud-native architectures
• Lead implementation of complex front-end interfaces with advanced 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

Machine Learning Engineering & Operations

• 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

Applied Generative AI Research & Agent Development

• 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

#LI-CR1

• 4-6 years of full-stack development with React, , TypeScript,
• 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

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

All your information will be kept confidential according to EEO guidelines