Full-Stack Developer (AI-Augmented Engineering)

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Skills you'll use

What you'll do

• We're looking for a full-stack developer to join our growing engineering team. This is primarily a product engineering role — you'll design, build, and maintain web applications end to end — but you'll do it in an AI-native way, relying on agent frameworks and AI coding assistants throughout the development lifecycle — not as a bonus skill, but as a core requirement. You're expected to understand how the underlying models work well enough to use them effectively and evaluate their output critically.

Who can apply

• 4+ years of professional full-stack development experience (e.g., React on the frontend; Python/Go/Rust on the backend).
• Working understanding of how LLMs function at a practical level — tokens, context windows, embeddings, prompting, and the general shape of what models can and can't reliably do.
• Hands-on experience with at least one agent framework (LangChain, CrewAI, AutoGen, or similar) — production use preferred, personal/academic projects acceptable.
• Fluent with AI coding assistants (Claude Code, Cursor, GitHub Copilot, or similar) as a daily part of your workflow — skilled at providing clear context to get production-quality output.
• Strong code ownership — able to explain and defend every line you submit regardless of how it was generated, and to catch subtly incorrect AI output.
• Familiarity with AI-native SDLC practices — using AI assistance across planning, coding, testing, and review, not just code completion.
• Basic prompt engineering and tool/function-calling fundamentals for working with LLM APIs (OpenAI, Anthropic, Gemini, or open-source equivalents).
• Comfort with REST APIs, JSON, relational databases, and version control (Git).

About Forcepoint

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