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Specialized senior GenAI role with strong technical filters yields medium applicant competition.
Deep agentic AI, production ML and observability requirements make cross-industry transfers difficult.
Requires 10+ years, 5+ years leadership, and specific agentic GenAI production skills and tech.
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Own the architecture and hands-on development of generative and agentic AI systems within the SaaS platform, focusing on production reliability and safety.
Design, build, and productize multi-agent systems with orchestration, guardrails, human-in-the-loop controls, and observability for scalable deployment.
Set technical standards, mentor engineers, and drive build/buy decisions balancing reliability, latency, security, and cost.
10+ years of software engineering experience with production SaaS and large-scale cloud-native distributed systems (AWS, GCP, or Azure).
5+ years in technical leadership roles such as Staff, Principal, Lead, or Architect involving cross-team decisions and mentoring.
Hands-on experience with generative AI technologies including LLMs, prompt engineering, embeddings, vector databases, and RAG systems.
Proficiency in Python plus at least one of Go, Java, or TypeScript, and familiarity with AI/agent frameworks e.g., LangGraph, LangChain, CrewAI, AutoGen.
Experienced technical leader with proven delivery of production agentic AI systems featuring multi-agent orchestration, memory, and autonomous execution.
Strong background in AI productization encompassing guardrails, confidence scoring, human-in-the-loop controls, evaluation, and reliability for agent deployments.
Operates pragmatically with expertise in architecture, code quality, and integration of AI coding tools to improve team velocity and product robustness.