Sr Engineer, AI at Pilot Company — Knoxville, TN

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 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

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
• 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

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