Why this role stands out
This role offers an exceptional opportunity to pioneer the future of agentic AI, directly impacting enterprise applications and developing novel model architectures. You'll thrive here if you're a mid-senior engineer eager to build, test, and deploy cutting-edge AI solutions while collaborating closely with customers and world-class researchers. Apply to join a groundbreaking company backed by top-tier investors and founded by AI leaders.
Quick overview
Job description
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. 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.
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 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.
This isn't about prompt engineering or wrapping existing LLMs. You'll be working with a novel model architecture that reasons deterministically—building the future of reliable AI agents from the ground up.
As a Forward Deployed Engineer at Scaled Cognition you will:
Design and build AI agents for customers across finance, healthcare, legal, operations, and more—tailored to their specific domain requirements
Work with the research team to expand our models' reasoning capabilities and add new domains of expertise
Partner directly with customers to iterate on implementations, gathering feedback that shapes our platform roadmap
Build robust evaluation frameworks to rigorously test agent performance and reliability across edge cases
Create reusable patterns and tools that make it easier to deploy agents in new domains
Example projects could include:
A multilingual banking support agent that handles account inquiries, financial transactions, and compliance workflows across 12+ languages
A retail agent that manages complex product customization requests, inventory checks, and order modifications in real-time
A telecommunications agent that diagnoses hardware issues, walks customers through troubleshooting steps, and escalates to technicians when needed
You might be the right person for the job if you:
Love working directly with customers and translating their needs into technical solutions
Are excited about building agentic systems and exploring what's possible at the frontier of AI capabilities
Thrive in ambiguous environments where you have the autonomy to define the path forward
Key Qualifications:
Have 3+ years of experience as a software engineer, with a track record of shipping production systems
Strong Python skills and familiarity with modern AI agent development
Previous experience in a customer-facing technical role (solutions engineer, forward deployed engineer, etc.)
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