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Описание вакансии
Текст:
TL;DR
Software Engineer, Agentic Runtime (AI): Building low-latency, reliable, and secure runtime services for AI agents and assistant experiences with an accent on multi-turn orchestration, tool calling, model routing, memory, streaming, and safety. Focus on designing distributed systems, reducing latency and cost, integrating LLM providers, and hardening production services with observability and fault tolerance.
Location: Hybrid, with 4 days per week in the Mountain View, California office
Salary: $180,000–$210,000 annual base salary
Company
Glean provides an enterprise Work AI platform with search, AI assistants, scalable AI agents, SaaS connectors, LLM integrations, and APIs.
What you will do
- Own agentic runtime problems from architecture and design through production launch and ongoing reliability.
- Build core services for session lifecycle, streaming responses, structured tool execution, memory and state, policies, and guardrails.
- Improve performance, correctness, and cost by reducing p50/p95 latency, optimizing tail behavior, and managing token and tool budgets.
- Integrate OpenAI, Anthropic, Google Gemini, and internal evaluation frameworks to improve agent quality and predictability.
- Implement fault isolation, retries, timeouts, circuit breaking, backpressure, and graceful degradation.
- Develop observability, tracing, metrics, dashboards, playbooks, SLOs, and on-call practices while collaborating with product, quality, and application teams.
Requirements
- 3+ years of software engineering experience building production distributed systems or cloud-native applications.
- BS/BA in Computer Science or a related field, or equivalent practical experience.
- Strong coding skills in at least one of Python, Go, Java, JavaScript, TypeScript, or C++.
- Experience operating services on Kubernetes and at least one major cloud provider such as GCP, AWS, or Azure.
- Familiarity with event and streaming systems, caching, low-latency data stores, LLM tool calling, structured outputs, streaming, and model routing.
- Strong observability and production debugging skills, including tracing, metrics, dashboards, and production forensics.
Nice to have
- Experience with policy and guardrails, multi-tenant isolation, rate limiting, concurrency control, or cost optimization.
- Experience leading projects or working on agentic systems and ML infrastructure integrations.
Culture & Benefits
- Medical, vision, and dental coverage.
- Generous time-off policy and access to a 401(k) plan.
- Home office improvement, education, and wellness stipends.
- Regular company events and daily healthy lunches.
- Inclusive workplace with a focus on diversity and equal opportunity.
Hiring process
- Complete a brief AI-focused exercise or discussion during the interview process.
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