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Senior staff level with niche agentic AI and architecture demands reduces general applicant competition.
Highly specialized agentic AI, evals-first, and platform architecture requirements limit cross-industry transferability.
Explicit 8+ years, deep agentic AI, Python, architecture, and leadership requirements make shortlisting highly strict.
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Own end-to-end architecture and technical direction of agentic AI systems including orchestration, retrieval, evaluation, observability, and scaling.
Design and ship complex multi-service, multi-agent platforms using Python, TypeScript/JavaScript, React, and integrate with backend APIs and cloud infrastructure.
Lead technical strategy, set standards for system design, code quality, CI/CD, and mentor mid-level engineers while collaborating with leadership and cross-functional teams.
8+ years in Software Engineering or Data Science with deep engineering experience, including substantial hands-on Generative AI/agentic AI production systems.
Expertise in Python, SQL for analytics, and TypeScript/JavaScript.
Experience with agentic frameworks such as OpenAI Agents SDK and workflow orchestration with Temporal.
Strong background in system architecture, cloud platforms (GCP Kubernetes and AWS ECS/EC2), containerization (Docker), CI/CD, and observability tools (ELK, LangSmith).
Senior individual contributor with proven experience setting technical direction and owning complex AI system architecture.
Strong systems thinker comfortable making and justifying high-impact design trade-offs across scalable multi-agent platforms.
Experienced in applying an evals-first engineering discipline and integrating best-of-breed LLM/multimodal providers to optimize agent workflows.