Principal Software Engineer, AI Engineering
Leads architecture and hands-on development of secure, production-grade AI applications, including LLM orchestration, RAG pipelines, agentic experiences, and resilient backend services. Requires 12+ years of software engineering experience, strong Python and frontend expertise, and technical leadership across global teams.
About the job
Responsibilities
- Drive the architecture and design of AI solutions, leading cross-functional initiatives across Product, Design, and Data Science.
- Design, build, and refine backend services powering AI solutions, including LLM orchestration, RAG pipelines, and generative AI features.
- Build high-performance agentic experiences for web and mobile, optimized for streaming responses and low latency.
- Champion observability and operational excellence for enterprise-grade reliability and performance.
- Enable delivery of key AI projects through technical leadership and hands-on execution.
- Mentor engineers and raise technical craftsmanship and solution quality across the full stack.
- Collaborate with cross-geo peers on aligned designs, shared roadmaps, and scalable architectures.
- Partner with Security, Data, and Infrastructure teams to ensure secure, reliable, enterprise-ready AI adoption.
Requirements
- 12+ years of software engineering experience, emphasizing backend systems design and development.
- 8+ years of Python preferred.
- 6+ years with modern frontend frameworks such as React, Next.js, and TypeScript.
- Knowledge of accessibility principles (a11y) and effective collaboration with Product and Design.
- Experience building and deploying production-grade AI applications and services.
- Experience with distributed systems, microservices, and resilient REST or GraphQL APIs on cloud platforms.
- Ability to influence technical strategy and lead architecture decisions across global teams.
- Excellent communication skills and experience working across time zones and cultures.
Nice to Have
- Experience with agentic frameworks such as LangChain, LangGraph, and LangSmith.
Benefits
- Immersive, in-person onboarding experience.
- Opportunities to work on applied AI projects and enterprise-scale platform foundations.
- Well-being support, social impact initiatives, talent development, and community connection.
Skills
Python, React, Next.js, TypeScript, Llm Orchestration, RAG, Generative AI, LangChain, LangGraph, Langsmith, Distributed Systems, Microservices, Rest, GraphQL, AWS
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