Staff Software Engineer — AI-Driven Distributed Systems

FlowGen Labs; San Francisco (CA); Vor Ort; USD 225.000 - 450.000; Vollzeit

Benefits dieser Stelle

Visa Sponsorship available

Zusammenfassung

FlowGen Labs is building frontier enterprise AI to automate complex SAP environments and enable autonomous workflows across finance and operations. You will define architecture and standards, leading Node.js services, AI workloads, and integrations with enterprise systems to deliver reliable outcomes at scale.

The role emphasizes ownership, fast delivery, and a hands-on approach to AI tool usage, with direct impact on how agents reason and act within live systems.

Qualifikationen

• Strong experience building distributed systems or backend platforms in production environments.
• Proficiency with Infrastructure as Code using Terraform or CDK and strong observability with metrics, tracing, logs, and SLOs.
• Proficiency with Postgres and experience with vector databases such as pgvector, Pinecone, or Milvus for retrieval and semantic search.
• Experience orchestrating agentic workflows and retrieval augmented generation.
• Hands on use of AI tools with clear ideas for applying AI to development, testing, data, and support.
• Ownership mentality, crisp communication, comfortable deciding with 80 percent information.
• Move fast without breaking things, not afraid to learn new stacks, bring a we will figure it out attitude.

Aufgaben

• Define architecture, standards, and deliver solutions end to end.
• Lead builds across Node.js services, AI and agent workflows, and integrations with enterprise systems, owning quality and reliability.
• Your work will directly impact how agents reason, take actions, and deliver outcomes at scale.

Kenntnisse

Distributed systems

Terraform

CDK

Observability

AI tooling

Ownership mentality

Tools

pgvector

Pinecone

Milvus

CDK

Terraform

Jobbeschreibung

FlowGen Labs is building frontier enterprise AI to automate complex SAP environments and enable autonomous workflows across finance and operations. You will define architecture and standards, leading Node.js services, AI workloads, and integrations with enterprise systems to deliver reliable outcomes at scale.

The role emphasizes ownership, fast delivery, and a hands-on approach to AI tool usage, with direct impact on how agents reason and act within live systems.