8 дней назад
Software Engineer, Agent Systems (AI)
200 000 - 325 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer, Agent Systems (AI): Building the orchestration engine, runtime, retrieval and grounding systems, and evaluation infrastructure that power production-grade AI agents with an accent on reliable reasoning, real-world actions, and enterprise workflow automation. Focus on designing agentic loops, improving retrieval accuracy, building quality feedback systems, and integrating new capabilities into customer-facing products.
Location: San Francisco, United States; on-site
Salary: $200,000–$325,000 per year, plus equity
Company
is an early-stage AI-native automation platform building intelligent agents that execute enterprise workflows across functions including IT, HR, Finance, Security, Legal, and Engineering.
What you will do
- Build end-to-end agent-based product functionality and foundational systems for the agent platform.
- Develop the orchestration engine, runtime, and core primitives that enable agents to reason, act, and interact with users and systems.
- Design and evolve agentic loops to make agents steerable, trustworthy, adaptive, and production-ready.
- Improve retrieval and grounding systems so agents use accurate organizational context for answers and actions.
- Build evaluation frameworks and feedback loops to measure, debug, and continuously improve agent quality.
- Partner with product teams to bring new agent capabilities into customer-facing workflows and establish technical standards for reliable agent systems.
Requirements
- Strong software engineering fundamentals and experience building production-grade systems.
- Experience building AI-powered systems, agent frameworks, or LLM-based applications in production.
- 4+ years of hands-on experience building software products and systems in production environments.
- Experience designing reliable, scalable, and maintainable systems from first principles.
- Strong communication skills, cross-functional collaboration ability, and comfort in a high-autonomy startup environment.
- Degree in Computer Science or a related technical field, or equivalent professional experience.
Nice to have
- Experience with retrieval systems, grounding strategies, evaluation infrastructure, or other modern agent architecture components.
- Familiarity with Go and TypeScript.
- Early-stage startup experience or a track record of zero-to-one product development.
Culture & Benefits
- Early-stage equity alongside salary.
- Comprehensive health coverage and flexible paid time off.
- Daily lunches and snacks, on-site gym access, and regular team events and offsites.
- Culture centered on innovation, ownership, accountability, and fast growth.
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