Staff Software Engineer – AI Backend Services

• Define technical strategy and architecture for Python-based AI backend platforms using FastAPI
• Support LLM integration, generative AI pipelines, and AI agent orchestration
• Architect scalable, reliable, and secure AWS systems using Lambda and EKS
• Drive organization-wide technical decisions and engineering practices
• Design and champion AI system observability using LangChain, Langfuse, and litellm
• Establish standards for monitoring, logging, observability, and operational excellence
• Lead initiatives to optimize performance, security, and scalability of large-scale AI applications
• Mentor and technically guide engineers through code reviews, architecture reviews, and technical leadership
• Identify technical debt, performance bottlenecks, and architectural limitations and drive long-term solutions
• Collaborate with engineering leadership, product, and stakeholders to align technical strategy with business objectives
• Influence technology choices, design patterns, and best practices across the AI Software & Operations department
• Represent the team in organization-wide technical discussions and drive adoption of innovative solutions

• 7+ years of professional software engineering experience with extensive backend and distributed systems expertise
• Expert-level proficiency in Python for large-scale production systems
• Comprehensive understanding of LLMs, generative AI architectures, and AI infrastructure, including LangChain, litellm, Langfuse, and OpenAI/Anthropic APIs
• Proven experience architecting and delivering complex, scalable platforms on AWS
• Expert knowledge of microservices architecture, distributed systems design, and event-driven architectures
• Experience with containerization, orchestration using Docker/Kubernetes, and cloud-native patterns
• Strong technical leadership, mentoring, and organizational impact
• Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience
• Extensive experience designing platform-level AI/ML infrastructure at scale
• Expertise in FastAPI, asynchronous Python, and high-performance backend systems
• Experience with event-driven and real-time systems for AI applications
• Experience establishing engineering best practices and technical standards
• Background in MLOps, model deployment strategies, and AI system reliability
• Expertise with infrastructure-as-code, CI/CD automation, and platform engineering
• Experience translating product and business requirements into technical strategy
• Experience leading cross-functional technical initiatives
• Excellent strategic thinking, communication, and influence skills

• Equal employment opportunity employer
• Reasonable adjustments to support candidates and future careers
• Accessibility assistance for the website, online application process, and interviewing