GenAI Platform Staff Software Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
GenAI Platform Staff Software Engineer (AI): Developing and delivering production-quality agentic AI systems and a developer platform with an accent on multi-agent orchestration and EKS deployment. Focus on architecting data flywheels for agent quality improvement and embedding security guardrails into AI runtimes.
Location: Must be based in San Francisco, CA (Hybrid: 10+ days per month in office)
Salary: $208,000 — $250,000 USD
Company
builds crypto solutions for financial institutions, businesses, and governments to improve the global financial system and create greater economic fairness.
What you will do
- Develop end-to-end agentic AI systems using Python, Go, and Java, including EKS deployment and memory systems.
- Define and advance the Enterprise Agentic AI and developer platform architecture through practical implementations.
- Build multi-agent orchestration patterns (planner, executor, reviewer) using frameworks like LangGraph or MCP.
- Architect data flywheels to improve agent quality through telemetry, benchmarking, and automated evaluation.
- Embed security guardrails, sandbox isolation, and policy enforcement into AI runtimes for payment systems.
- Evaluate and integrate third-party agent platforms and drive build-vs-use decisions.
Requirements
- Bachelor's degree in Computer Science or related field; Master's or PhD preferred.
- 10+ years of experience building large-scale distributed systems with hands-on coding in Python, Go, or Java.
- Proven track record in constructing agentic AI systems, RAG pipelines, and multi-agent orchestration.
- Expert-level depth in Kubernetes (EKS), service mesh (Istio), and containerized workloads.
- Experience creating benchmarking, telemetry, and observability systems (OpenTelemetry, Prometheus, Grafana).
- Must be located in San Francisco, CA to support the hybrid work model.
Nice to have
- Experience building AI-native developer platforms or cross-repo context engines (vector databases, code embeddings).
- Background in blockchain, payments infrastructure, or the XRPL/RLUSD ecosystem.
- Meaningful open-source contributions as a core committer or maintainer.
- Familiarity with formal methods like TLA+ or property-based testing.
Culture & Benefits
- Fast-paced environment with experienced industry leaders and a professional development budget.
- Competitive salary, bonuses, and equity packages.
- Comprehensive physical and mental healthcare, retirement, and family support.
- Flexible hybrid work model with in-office collaboration.
- Generous vacation policy, R&R days, and industry-leading parental leave.
- Catered lunches and fully-stocked kitchens.
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