FlowGen Labs Logo

FlowGen Labs

Founding Research Engineer

Posted 2 Days Ago
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-375K Annually
Entry level
In-Office
San Francisco, CA, USA
200K-375K Annually
Entry level
Own a zero-to-one AI product and infrastructure for autonomous enterprise workflows in SAP environments. Build agentic systems with verification, reflection, retrieval, prompt pipelines, inference serving, observability, and light fine-tuning. Work directly with customers, shape product strategy and engineering standards, and help establish company culture while shipping quickly and reliably.
The summary above was generated by AI
About Us

FlowGen 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. FlowGen 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, FlowGen Labs brings together a frontier AI and SAP team from DeepMind, SAP, Meta AI, and Amazon AGI Labs.

Role Summary

You will own a zero-to-one product and its infrastructure. You will build the secure connector and runtime that understands complex enterprise systems, the tooling experience developers use every day, and the analysis and planning engine that transforms legacy code. You will work directly with customers on high-leverage projects and help define our culture, our engineering bar, and our roadmap.

  • Design the agentic layer. Implement self-checking, reflection, and verification passes before results reach humans or downstream systems.

  • Experience orchestrating agentic workflows and retrieval augmented generation. Familiarity with LangGraph is a plus.

  • Stand up inference paths with low latency serving and token-level observability

  • Productionize prompt pipelines, retrieval, and light fine-tuning, where it moves the needle

  • Hands-on use of AI tools with clear ideas for applying AI to development, testing, data, and support.

  • Ownership mentality, crisp communication, and comfortable making decisions 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

HQ

FlowGen Labs San Francisco, California, USA Office

2261 Market St, San Francisco, California, United States, 94114 1612

Similar Jobs

2 Months Ago
In-Office or Remote
6 Locations
Senior level
Senior level
Artificial Intelligence • Software • Industrial • Manufacturing
Design, train, evaluate, and optimize agent-native LLMs and RAG pipelines for enterprise use. Build training and RL pipelines (RLHF/DPO/PPO), embedding-based memory, evaluation harnesses, observability, and inference optimization across cloud and on-prem environments.
Top Skills: ChromaCohereDeepspeedDelta LakeDuckdbDustFaissFalconFlashattentionFsdpHuggingface TransformersIcebergJavaScriptJinaKubernetesLambdalabsLangchainLanggraphLangsmithLlama 3LlamaindexLoraMistralMixtralModalNeo4JOpenllm EvalsOwlParquetPineconePostgresPuppygraphPythonQdrantQloraRagasRayRdfRustSagemakerTgiTrulensVllmWeaviateWeights & Biases
2 Months Ago
In-Office
San Francisco, CA, USA
Mid level
Mid level
Information Technology • Software
Design and run research programs focused on agent systems, signal classification, cost-efficient inference, and behavioral benchmarking in applied AI. Build evaluation frameworks, conduct experiments, and convert findings into production systems to define applied AI research agendas.
Top Skills: Knowledge Graph SystemsProduction Ml SystemsRetrieval-Augmented Generation
9 Days Ago
In-Office
Mountain View, CA, USA
160K-320K Annually
Mid level
160K-320K Annually
Mid level
Artificial Intelligence • Big Data • Information Technology • Software
The Founding ML Research Engineer will design and evaluate ML models, develop experimentation pipelines, and contribute to AI research while optimizing training processes.
Top Skills: JaxPyTorchTensorFlow

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account