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 & ScopeTechnical Leadership: Leads complex projects and influences technical directionMentorship: Guides junior engineers and shares knowledge across teamsSystem Design: Architects scalable AI solutions with performance optimizationCross-functional Impact: Collaborates with product, research, and platform teamsFull Stack DevelopmentArchitect end-to-end AI applications using modern web frameworks and cloud-native architecturesLead implementation of complex front-end interfaces with advanced React.js patternsDesign robust backend services with event-driven architectures using AWS servicesImplement gRPC and GraphQL microservices and optimize system performanceEnsure application security, performance optimization, and scalability across the full stackMachine Learning Engineering & OperationsDesign and optimize ML model deployment strategies for production scaleEstablish MLOps best practices including automated testing and evaluationImplement comprehensive monitoring using CloudWatch, Prometheus, and GrafanaOptimize model performance and cost efficiencyLead infrastructure design with Terraform IaC and multi-cloud strategiesApplied Generative AI Research & Agent DevelopmentResearch and implement state-of-the-art generative AI models and agent architecturesBuild sophisticated multi-agent orchestration systemsDevelop advanced RAG systems with performance optimizationCreate agent evaluation frameworks measuring performance, reliability, and safetyDrive prompt engineering strategies and multi-modal AI applicationsLead integration of LLM APIs and open-source models with optimization techniques#LI-CR1
