Scaled Cognition
Forward Deployed Engineer
Mountain View
Sponsorship not specifiedDetected 174 days ago
PythonNLPAgentic AIResearch
About the role
- Scaled Cognition is the world's only model lab dedicated exclusively to customer experience and pioneering agentic models purpose-built for reliable action-taking enterprise applications.
- Backed by Khosla Ventures, the company's flagship Agentic Pretrained Transformer (APT) eliminates hallucinations, enforces enterprise policies and increases reliability in real-world CX workflows.
- This isn't about prompt engineering or wrapping existing LLMs.
Responsibilities
- As a Forward Deployed Engineer, you'll have significant autonomy to build, test, and deploy AI agents that solve real problems across industries.
- You'll be working with a novel model architecture that reasons deterministically-building the future of reliable AI agents from the ground up.
Requirements
- Have 3+ years of experience as a software engineer, with a track record of shipping production systems
- Previous experience in a customer-facing technical role (solutions engineer, forward deployed engineer, etc.)
- Thrive in ambiguous environments where you have the autonomy to define the path forward
- Strong Python skills and familiarity with modern AI agent development
Skills
- Work with the research team to expand our models' reasoning capabilities and add new domains of expertise
Company info
- Founded by serial AI entrepreneurs, former Microsoft Corporate Vice President of Conversational AI Dan Roth, and UC Berkeley AI Professor Dan Klein, and built by a team of world-class PhD researchers and engineers, Scaled Cognition advances the science of agentic AI to deliver safe, policy-aligned automation that enterprises can trust.
- You'll work directly with customers to understand their challenges, collaborate with our research team to push the boundaries of what's possible, and partner with product and engineering to ship solutions that work.
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This listing is sourced directly from Scaled Cognition's careers page and normalized into a canonical job model.