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Software Engineering Lead

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: FlowGen Labs, Inc.
Full Time position
Listed on 2026-06-25
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below

About Us

Flow Gen Labs is a frontier enterprise AI company building the zero-touch enterprise: context-aware agents that operate inside highly customized SAP environments at machine speed, grounded in each company’s ontology, live operational data, and operating procedures so complex workflows can run autonomously instead of relying on manual support teams. Flow Gen is focused on turning legacy ERP from a system of record into an execution layer for finance and operations.

Deployed at Fortune 500 companies across CPG, distribution, high tech, and oil and gas, Flow Gen Labs brings together a frontier AI and SAP team from Deep Mind, SAP, Meta AI, and Amazon AGI Labs.

Role Summary

Define architecture, standards, and deliver solutions end to end. This hybrid, generalist role blends core platform design in cloud (AWS/Azure) data and application architecture with hands on, customer facing delivery. You will lead builds across Node.js services, AI and agent workflows, and integrations with enterprise systems, owning quality and reliability.

  • Cloud and Systems Design with depth in building secure, scalable systems across networking, autoscaling, multi tenant patterns. Proficiency with Infrastructure as Code using Terraform or CDK and strong observability with metrics, tracing, logs, and SLOs.
  • Application Engineering Strong Node.js and Type Script for APIs and services. 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. Familiarity with Lang Graph is a plus.
  • Dev Ops and Delivery Solid engineering practices including CI/CD with Git Hub Actions or Git Lab CI, automated testing, code reviews, trunk based development. Comfortable with Docker and modern release management.
  • 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.
Why Join
  • Direct product and company impact with minimal bureaucracy.
  • High bar for craft, velocity, and pragmatic shipping.
Logistics
  • Location:

    In person, San Francisco Bay Area
  • Visa Support/Sponsorship available
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