Climb
Climb2h ago
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Forward Deployed Engineer

United States
Full Time
Mid Level

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Full Job Description

About the Role

We are seeking Forward Deployed Engineers to build production-quality features and components for our client engagements. You will work inside real client environments alongside Senior Forward Deployed Engineers or Architects, taking well-scoped pieces of work from design through implementation.

Your Responsibilities:

  • Build Production Systems: Develop data pipelines, LLM applications, intelligent agents, and workflow automations that meet strict specifications and handle real-world load.
  • Own Your Scope: Make independent implementation decisions within your assigned scope. You are accountable for the quality, testing, reliability, and maintainability of what you ship.
  • Demonstrate Autonomy: Turn defined requirements into working software without needing constant direction. Ask early questions that surface constraints before they become blockers.
  • Collaborate with Clients: Engage directly with client engineers and stakeholders, adapting to their unique environments and standards while leveraging support from senior leadership for broader context.

Required Qualifications:

  • Experience: 2+ years in software engineering, data engineering, or technical delivery.
  • Technical Skills: Strong fundamentals in Python, Scala, Java, and SQL. Experience with cloud environments (AWS, Azure, GCP) is essential.
  • Demonstrated Delivery: Proven ability to deliver working software with limited supervision using best-in-class tools for the job at hand.

Preferred Qualifications:

  • Familiarity with Databricks, Delta Lake, Unity Catalog, or comparable modern data platforms.
  • Experience building production AI/LLM systems (RAG pipelines, agents).
  • Budget for obtaining Databricks and Anthropic certifications post-hire is available.

Company

Climb

Climb

Climb is an AI-native data and transformation firm dedicated to helping enterprises operationalize artificial intelligence at scale.While many organizations are still in the experimental phase of AI a...

United States
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