10 дней назад
Sr. Software Engineer (Agentic Systems)
224 500 - 251 500$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Sr. Software Engineer (Agentic Systems) (AI/LLM platforms): Building production-grade multi-agent systems for autonomous workflow execution, real-time conversational reasoning, and secure tool use across enterprise datasets with an accent on orchestration, memory architectures, retrieval, and observability. Focus on designing scalable voice and multimodal agents, optimizing LLM inference, implementing safety guardrails, and coordinating API execution with human validation.
Location: Opportunity to be based in the Bay Area office; California-based salary range provided.
Salary: $224,500–$251,500 USD base salary for California.
Company
provides an AI customer experience platform that combines AI and human agents to resolve customer issues across voice and digital channels.
What you will do
- Own the architectural roadmap and delivery of agentic infrastructure, orchestration layers, memory architectures, and evaluation and observability systems.
- Design and deploy scalable multimodal AI agents for autonomous support, real-time voice reasoning, and secure API tool execution.
- Build multi-agent orchestration capabilities for conversational reasoning and workflow execution over large enterprise datasets.
- Mentor engineers, establish technical standards, and help define an AI-native software development lifecycle.
- Partner with Product, Engineering, Applied Research, Design, and executive leadership on technical strategy and delivery.
- Research and implement agent frameworks, LLM inference optimization, retrieval systems, and safety and policy guardrails.
Requirements
- 10+ years of relevant software engineering experience and a track record of technical leadership as a Staff, Senior Staff, or Principal Engineer.
- Strong experience scaling distributed systems and production infrastructure, with applied experience in AI, LLM platforms, and agentic architectures.
- Experience with LLM inference optimization, fine-tuning, advanced retrieval, and memory architectures.
- Hands-on experience with agent frameworks such as LangChain, LangGraph, CrewAI, or AWS and Google agent ecosystems.
- Experience with evaluation, observability, safety frameworks, streaming infrastructure, voice or conversational AI, and API tool execution.
- Ability to lead and grow a small engineering group, set technical goals, manage architectural risks, and reduce technical debt.
Nice to have
- Experience building AI products from the ground up and scaling them into robust enterprise systems.
- Experience implementing human-in-the-loop validation systems and emerging agent frameworks.
Culture & Benefits
- Work at the center of AI transformation in business communications.
- Competitive salary and comprehensive benefits.
- Access to AI tools and a structured training program.
- Inclusive offices designed to support collaboration and connection.
- Opportunities for professional growth and meaningful technical impact.
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