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Generalist full-stack title, metro location, and mid-level (4+ years) experience make applicant competition high.
Full-stack plus LLM and agent framework requirements moderately limit cross-industry fit.
Multiple mandatory technical requirements (4+ years, LLM/agent experience, AI-native SDLC) increase strictness.
Design, build, and maintain production web applications across frontend, backend, and data layers with AI-native development practices.
Integrate and extend AI/LLM-powered features and agent frameworks (e.g., LangChain, CrewAI) into product workflows for real user and operational value.
Own code quality fully by critically reviewing, debugging, refactoring AI-generated and manual code, and collaborating on API and feature scoping under deadlines.
4+ years professional full-stack development experience including React frontend and backend languages like Python, Go, or Rust.
Hands-on experience with at least one agent framework (LangChain, CrewAI, AutoGen) and daily use of AI coding assistants (Claude Code, Cursor, GitHub Copilot).
Working understanding of LLM concepts including tokens, context windows, embeddings, prompting, and practical model limitations.
Comfortable with REST APIs, JSON, relational databases, version control (Git), and basic prompt engineering for LLM API usage.
Experienced in AI-native software development lifecycle, leveraging AI tools throughout planning, coding, testing, and code review.
Proven ability to critically evaluate AI outputs and fully own the technical correctness and maintenance of AI-augmented code.
Familiarity or experience shipping LLM-powered features or products, with practical knowledge of integrating agent frameworks into production apps.