5 дней назад
Senior Software Engineer, AI Agent Platform
105 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, AI Agent Platform (AI/distributed systems): Building GEICO's enterprise platform for durable agentic workflows, RAG, agent evaluation, operational insights, and reusable skills with an accent on scalable backend services, reliability, and production operations. Focus on designing distributed systems, building observability and evaluation pipelines, and operating resilient AI infrastructure at enterprise scale.
Location: Palo Alto, California, United States
Annual salary: $105,000–$230,000
Company
is a large United States auto insurer and a member of the Berkshire Hathaway family, building enterprise AI platforms for associates and customers.
What you will do
- Design, build, and own significant platform components from technical design and API definition through rollout and iteration.
- Develop durable agent execution systems with state management, checkpointing, retries, idempotency, and recovery for long-running workflows.
- Build RAG ingestion, embedding, indexing, retrieval, insight, evaluation, and skills marketplace services.
- Develop integrations, APIs, SDKs, deployment infrastructure, and developer-facing tools for consuming teams.
- Define SLOs, observability, alerting, capacity planning, and resilience practices for production systems.
- Participate in on-call rotations, incident response, postmortems, design reviews, and mentoring.
Requirements
- 5+ years of professional experience building and operating production backend systems at scale.
- Experience owning service or major feature delivery end to end.
- Strong proficiency in Python, Java, Go, or a comparable language.
- Strong distributed systems fundamentals, including concurrency, consistency, fault tolerance, data modeling, API design, and scalability.
- Experience with CI/CD, automated testing, Kubernetes or other container platforms, monitoring, alerting, on-call support, and incident response.
- Experience scaling systems or improving reliability through SLOs, performance tuning, capacity planning, or failure-mode reduction.
Nice to have
- Experience with workflow orchestration, event-driven architectures, internal developer platforms, multi-tenant services, or SDKs.
- Experience with GenAI applications, agentic harnesses, RAG systems, evaluation frameworks, or AI skills ecosystems.
- Experience with data pipelines, analytics systems, observability tooling, SRE practices, Azure, AWS, or managed agent services.
- Understanding of AI security and governance, including prompt injection, sandboxing, and third-party tool security.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture focused on shared success.
- Competitive pay, benefits, and flexibility supporting employee well-being.
- will consider sponsoring employment authorization for a qualified new applicant.
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