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Remote, attractive AI platform remit but senior (12+) requirement reduces applicant density.
Requires deep ML/AI production experience, LLM deployment, and agent orchestration, limiting cross-industry transferability.
Explicit 12+ years and mandatory LLM, agent orchestration, and cloud production experience impose strict filters.
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Lead the architecture and technical direction of customer-facing AI agents, ensuring reliable and intelligent user interactions.
Develop advanced multi-agent systems ('Super Agents') capable of reasoning, planning, and executing complex workflows.
Design and implement frameworks to automate business workflows, enhancing operational efficiency and reducing manual tasks.
12+ years experience in architecting and developing scalable enterprise-level services or platforms.
Proven expertise with AI/ML frameworks (e.g., PyTorch, TensorFlow) and deploying LLMs and agentic architectures in production.
Strong programming skills in backend technologies (Java, Node.js, Python, Golang) and experience with SQL/NoSQL databases.
Experience with cloud and serverless architectures (AWS/GCP/Azure).
Experienced in technical leadership roles with hands-on guidance on AI integration and scalable system design.
Familiarity with agent orchestration patterns, chain-of-thought prompting, and automated workflow development.
Has worked in startup or high-growth environments, able to collaborate cross-functionally with product and data science teams.