LEAD FULL STACK ENGINEER - AI DATA PLATFORM TEAM

As a Lead Engineer on the AI/ML and Agent Platform team, you will provide technical leadership and design and build enterprise-grade full-stack capabilities for agent development, orchestration, evaluation, observability, sandboxing, and production execution. You will work at the intersection of distributed systems, platform engineering, GenAI, and modern application development to create scalable and intuitive agentic experiences., Lead the architecture and development of scalable full-stack solutions for agent orchestration, execution, evaluation, and monitoring

Build reusable capabilities for agent lifecycle management, context and memory, tool integration, model and prompt configuration, secure sandbox execution, and workflow orchestration

Develop intuitive experiences for building, testing, orchestrating, and managing AI agents and workflows

Integrate LLMs, AI agents, enterprise tools, and external systems into reliable production-grade solutions with appropriate guardrails

Build APIs, SDKs, platform services, and developer tools that enable teams to create, test, deploy, and operate intelligent agents

Develop evaluation and observability capabilities including testing, quality metrics, tracing, monitoring, dashboards, and debugging

Ensure solutions meet enterprise standards for security, governance, privacy, reliability, and auditability

Partner with Product, UX, Data Science, Architecture, and engineering teams to define and deliver platform capabilities

Drive scalability, resiliency, performance, and cost efficiency across cloud-native systems

Provide technical direction, mentor engineers, and establish engineering standards for AI/ML and agentic systems

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.

• 4-year degree or equivalent experience
• 7+ years of full stack software engineering experience including technical leadership of complex systems and initiatives
• Strong programming skills in Java, Kotlin, Go, or Python
• Strong experience building end-to-end applications across backend services/APIs and modern frontend technologies such as React and TypeScript
• Experience building production AI/ML or GenAI applications using LLMs, agents, or agentic workflows
• Strong experience designing scalable distributed systems, APIs, and microservices architectures
• Deep understanding of system design, scalability, reliability, security, and observability
• Experience with containers, Kubernetes, CI/CD, and cloud-native development
• Experience with agent orchestration, tool calling, prompt management, context management, memory, and multi-agent systems
• Experience building evaluation frameworks for LLMs or AI agents
• Experience with secure sandboxing or isolated execution environments for AI agents
• Knowledge of AI tracing, observability, monitoring, and debugging
• Experience with RAG, vector databases, semantic search, embeddings, or model gateways
• Experience developing platform APIs, SDKs, or reusable developer tooling
• Understanding of Responsible AI, governance, guardrails, security, and privacy
• Experience with Google Cloud Platform, AWS, or Azure cloud
• Demonstrated ability to lead technical initiatives, mentor engineers, and influence architecture across teams
• Self-driven and results-oriented, with strong ownership, sound judgment, and the ability to move quickly while maintaining high technical standards
• Collaborative team player with a commitment to continuous learning, knowledge sharing, and building reliable AI-powered applications that create business value

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