Tech Lead Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Tech Lead Manager (AI): Building the low‑latency, reliable, and secure foundation that powers ’s AI agents and assistant experiences at scale with an accent on multi‑turn orchestration, tool calling, model routing, memory, streaming, and safety. Focus on optimizing cost and reliability, integrating with leading LLM providers, and hardening the platform with fault isolation and observability.
Location: Hybrid (4 days a week in one of our SF Bay Area offices)
Salary: $250,000 - $300,000 annually
Company
is the Work AI platform that helps everyone work smarter with AI, powering intelligent Search, an AI Assistant, and scalable AI agents on one secure, open platform.
What you will do
- Own impactful runtime problems end‑to‑end — from architecture and design to production launch and ongoing reliability.
- Build and evolve core services for session lifecycle, streaming responses, structured tool execution, memory/state, and policy/guardrails.
- Design for performance, correctness, and cost: reduce latency, improve tail behavior, and optimize token/tool budgets.
- Integrate with leading LLM providers and internal evaluation frameworks to improve quality and predictability.
- Harden the platform with fault isolation, retries, timeouts, circuit‑breaking, backpressure, and graceful degradation.
- Instrument deep observability and collaborate closely with product, quality, and application teams.
Requirements
- 8+ years of software engineering experience building production distributed systems or cloud‑native applications.
- 1+ years of engineering management experience
- BS/BA in Computer Science or related field, or equivalent practical experience.
- Strong coding skills in at least one of: Python, Go, Java, or C++, with a focus on reliability, performance, and tests.
- Product‑minded with a positive, proactive attitude.
- Experience operating services on Kubernetes and at least one major cloud (e.g., GCP, AWS, or Azure).
Nice to have
- Familiarity with event/streaming systems, caching, and data stores for low‑latency paths.
- Practical understanding of LLM/agents building blocks: tool/function calling, structured outputs, streaming, and model selection/routing.
- Strong observability and debugging skills: tracing, metrics, dashboards, and production forensics.
- Background in policy/guardrails, multi‑tenant isolation, rate‑limiting, concurrency control, cost optimization.
Culture & Benefits
- Comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage.
- Generous time-off policy and the opportunity to contribute to your 401k plan.
- Home office improvement stipend, as well as an annual education and wellness stipends.
- Vibrant company culture through regular events, and healthy lunches daily.
- Committed to an inclusive and diverse company.
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