Understand what a Forward Deployed Engineer does and how the role differs from a regular software engineer.
Find AI companies actively hiring FDEs in 2026, including Anthropic, OpenAI, and enterprise AI startups.
Prepare for an FDE interview by learning the expected skills like Python, LLM APIs, and AI agent building.
Pivot from a crypto or blockchain engineering background into a Forward Deployed Engineer role at an AI company.
This is a documentation-only repository, no code to install or run.
Awesome-FDE is a curated resource collection for engineers who want to understand or move into the role of Forward Deployed Engineer, commonly abbreviated as FDE. A Forward Deployed Engineer works directly alongside customers, writing production code, diagnosing problems, and building integrations inside real client environments rather than from a central office. The role is most associated with Palantir, which popularized it, but it has spread widely across AI companies in recent years. The repository organizes its content into several sections. One section explains what the FDE role is and how it differs from a traditional software engineer or a solutions engineer: FDEs own delivery outcomes, write real code, and operate at the intersection of engineering, consulting, and product thinking. Another section lists companies actively hiring FDEs as of 2026, including AI labs such as Anthropic, OpenAI, and Cohere, as well as enterprise AI startups and the defense sector. A separate table covers Asia-Pacific companies, noting that the role often appears under different job titles in that region. The skills section covers what companies expect candidates to know, including Python, working with large language model APIs, building AI agents, connecting systems through APIs, and handling data pipelines. There are also notes on the interview process and suggested ways to prepare, along with a section specifically addressing engineers coming from crypto or blockchain backgrounds who want to pivot into this type of role. The project is a community resource rather than code, and contributions are encouraged. It is released under the MIT license. The compensation figures mentioned in the README, ranging from around $238,000 to over $550,000 in total compensation for US-based roles, reflect 2026 market data cited by the author.
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