Job DescriptionPilot'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
Qualifications- 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
Additional Information- 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
