Forward Deployed Engineer
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Role details
Tech stack
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Job description
Join an AI-focused engineering team building and deploying production systems for enterprise clients. You will take projects from architecture through launch, helping organizations put practical AI workflows into operation., * Build and deploy AI workflows and agentic systems for enterprise clients, owning projects from architecture through production.
- Get up to speed in unfamiliar client codebases and ship reliable production software with minimal hand-holding.
- Work with executive stakeholders and enterprise engineering teams across industries such as finance, entertainment, and consumer goods.
- Collaborate with strategy partners to scope projects and deliver systems that operate reliably after deployment.
- Use modern AI coding tools to accelerate development and delivery.
Requirements
Production Systems, Artificial Intelligence (AI), Team Building, Finance, Project Estimates, Software Engineering, Engineering, Cloud Computing, Microsoft Windows Azure, GCP (Good Clinical Practices), * Three to eight years of full-stack software engineering experience, with a track record of personally building and shipping substantial production systems.
- Hands-on experience deploying software on AWS, GCP, or Azure, including work with real cloud infrastructure complexity.
- Strong product engineering experience and the ability to work across application layers; this is a hands-on coding role.
- Experience working in a startup or similarly fast-paced environment, with a high degree of ownership.
- Strong communication skills and experience partnering with enterprise engineering teams and executive stakeholders.
- Experience with Python and TypeScript; familiarity with agentic AI systems or tools such as Claude Code, Cursor, or Codex is useful.
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