Principal AI Engineer

We are looking for an experienced Principal AI Engineer to lead the architecture, technical strategy, and evolution of enterprise-scale AI platforms and GenAI-powered solutions. The role requires strong hands-on experience with production AI systems, RAG, AI orchestration, distributed platforms, and AI engineering standards.

Responsibilities

• Define and own the architecture of enterprise-scale AI platforms
• Design and develop production-grade GenAI systems and AI-powered solutions
• Lead the development of RAG pipelines, retrieval infrastructure, and AI orchestration frameworks
• Design scalable distributed systems, APIs, data pipelines, and event-driven architectures
• Establish standards for AI quality, evaluation, observability, governance, and model lifecycle management
• Define and scale AI-driven software-development practices, including tools, guardrails, and automation patterns
• Drive architecture decisions and technical alignment across multiple engineering teams
• Build reusable AI platform components, frameworks, and internal tooling
• Conduct architecture and code reviews and mentor senior and Staff-level engineers
• Collaborate with product, data, security, infrastructure, and engineering teams
• Document architectural decisions, technical standards, and organizational best practices

• Lead technical initiatives across distributed international teams

   

Requirements

• 12+ years of professional software-engineering experience
• Significant experience working at Staff or Principal Engineer level
• Strong hands-on experience building and deploying production-grade GenAI / LLM systems
• Expert-level Python engineering skills
• Strong experience with LLM applications, RAG, vector databases, and retrieval infrastructure
• Experience with LangChain, LlamaIndex, semantic search, or similar AI frameworks
• Strong understanding of AI evaluation, model lifecycle management, observability, and MLOps
• Proven experience designing and evolving large-scale distributed systems
• Strong knowledge of APIs, data pipelines, event-driven systems, and high-scale platforms
• Experience driving architecture and platform initiatives across multiple teams
• Hands-on experience with AI-assisted development tools such as Copilot, Claude Code, or Cursor
• Strong engineering fundamentals in code quality, testing, CI/CD, and observability
• Ability to influence technical decisions and drive alignment without formal authority
• Experience collaborating with distributed teams across different regions and time zones

• Professional English, Upper-Intermediate or higher

   

Nice to have

• Experience building enterprise AI platforms or internal AI developer platforms
• Experience with Kubernetes, cloud platforms, and infrastructure automation
• Experience with MLOps platforms and model monitoring
• Experience with event-driven architectures and large-scale data processing
• Experience establishing AI governance and engineering standards across organizations
• Experience working with distributed teams across the US, China, and LATAM
• Experience in enterprise SaaS, FinTech, healthcare, or other complex domains