Find roles where your Claude Code experience can support the work. Compare responsibilities, experience and pay, then apply directly with the employer.
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What the work involves
Compare the responsibilities and experience in these current postings to choose roles that fit your background. Scout's application ideas suggest how to demonstrate that work.
Build production AI agents, connect them to company systems with Model Context Protocol (MCP), and configure Claude Code and Codex for engineering teams.
Experience: The posting asks for 6+ years of professional software engineering, including hands-on work with AI or agentic applications.
Application idea: Show an agent integration, how you tested its outputs, and how other engineers used your workflow.
Own product features, build AI agents, and work across backend services, APIs and web interfaces.
Experience: The posting says candidates will likely have 2–4 years of professional full-stack development and experience maintaining production systems used by real users.
Application idea: Show a feature you shipped, the engineering decisions you owned, and what changed for its users.
Configure and extend Codex/Claude Code for team-wide use: AGENTS.md/CLAUDE.md hierarchies, custom slash commands, Agent Skills, path-specific rules, and plan mode.
Use AI-first development workflows (e.g., Claude Code or similar agentic tools) to work faster, while critically reviewing everything the AI generates.
A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work.
A clear account of how you constrain an agentic coding tool's context and verify its output, from daily use of Claude Code, Cursor, GitHub Copilot, or similar on production work, plus changes you turned back, and why.
AI coding is the largest use case of enterprise AI adoption today, as is evident from the success of Anthropic on Claude Code, Cursor’s $60B exit to SpaceX, and Cognition’s $48B valuation.
You'll work with frontier and cyber-gated models from providers such as Anthropic and OpenAI, agentic tools such as Claude Code, ChatGPT, and OpenCode, and open-weight models.
Proficiency with generative AI tools such as Claude or ChatGPT (including coding agents like Claude Code or Codex), along with prompt design and human-in-the-loop workflows
You reach for Claude Code, Claude Desktop, or Cursor before solving a problem by hand, and you can talk credibly about which models and tools are good at what, where they fall short, and how to prompt them well.
AI-native delivery in practice — you build daily with Claude Code, Cursor, or the current best tool, and understand context management, model selection, tool design, and the token economics that separate a prototype from an affordable production system.
Demonstrated experience delivering software with AI coding agents such as Claude Code, Devin, or Codex as a core part of your workflow, including integrating agents into CI/CD pipelines with automated quality gates.
As an AI Forward Deployed Engineer (FDE), you embed directly with global clients to drive the adoption of leading AI platforms and agentic developer tooling: generative and agentic AI solutions on AWS and Google Cloud, and agentic coding tools from Anthropic (Claude Code), OpenAI (Codex), and AWS (Kiro).
Cutting-Edge AI Tools for Productivity Access to best-in-class AI tools, including Gemini, Claude Code, and other frontier AI systems to maximize engineering and execution efficiency.
Design and demo solutions with Claude, the API, Claude Science and Claude Code across surveillance, outbreak response, data analysis and public communications.
Extend UiPath to work with external coding agents: design the skills, tools, and APIs that let agents like Claude Code author, run, and debug automations against the platform.
Experience leveraging modern agentic coding tools such as Codex and Claude Code, including defining company-wide best practices and driving adoption across the organization.
San Francisco, CA; Seattle, WA; New York City, NY; Washington, DC
Mentioned in the posting
As our dedicated Outcomes AI Manager for Strategic Tech Customers you’ll be their partner and trusted advisor helping them harness the full potential of all our Claude capabilities - API, Claude Code, Cowork, and other surface areas.
Design and own an AI-enabled content production system (e.g., Claude, Claude Code, custom agents and workflows) that sustains a high-volume, always-on cadence without sacrificing quality or brand voice.
Stay hands-on with AI tools and rapid prototyping, using platforms such as Glean, Claude Code, and approved automation tools to test concepts and inform product decisions.
Experience with agent SDKs and harnesses (such as Claude Code / Agent SDK, OpenAI Agents SDK, LangGraph, or similar) and LLM observability tooling, eval tooling such as Braintrust or MLflow, and model APIs from Anthropic, OpenAI, and Google.
You'll help us rethink how work gets planned, built, reviewed, and shipped, using Claude Code and other LLM harnesses as core parts of the workflow to accelerate experimentation and product velocity.
Hands-on experience building agentic workflows with AI coding agents (e.g., Claude Code, OpenCode, or similar), including connecting agents to the right context, tools, and platforms such as MLflow, and evaluating their output for accuracy and reliability.
Preferred Qualifications
Hands-on experience with AI development platforms and tools such as Claude, Claude Code, MCPs, LLM APIs, custom agent frameworks, or workflow automation platforms.
We’re looking for a deeply technical PM who has helped build Codex, Claude Code, Cursor, Devin, or a comparable coding agent, and who can rapidly carry that experience into robotics and physical AI.
Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step.
Hands-on experience with AI coding tools and LLMs, such as Claude Code, and the ability to build and use agent harnesses and automated workflows to build and iterate quickly
Build reusable AI skills and agents (using tools such as Claude, Claude Code, and similar platforms) for recurring work: data pulls, reconciliations, document review, variance analysis, and first-draft deliverables.
We expect engineers to be power users of AI coding tools (such as Pi, Claude Code, Conductor, Cmux etc), to constantly experiment with new workflows, and to push the boundaries of what a small team can accomplish.
Bonus Points (Preferred Qualifications)
Familiarity with leveraging AI coding assistants (e.g., Claude Code) to accelerate development and model prototyping
We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks.
Proven experience in agentic AI engineering and workflow creation: designing, building, and running multi-step AI agent workflows (e.g., with Claude Code or similar agent frameworks) on production work, with a clear view of where they fail.
You use tools such as Claude Code, Cursor, or similar tools to build and test ideas, and have examples of working prototypes or products you helped deliver.
A strong AI-assisted coding practice — you use tools like Claude Code, Codex, or Cursor as a core part of how you build, and have real opinions about what makes them work well
Daily, practical use of AI tools such as Claude, Claude Code, or Cursor, and enough understanding of data pipelines, cloud-hosted systems, and ML systems to judge feasibility.
Demonstrated projects using AI coding agents (Claude Code, Cursor, Copilot), Clay, or similar martech tools to build genuinely agentic solutions, not just templates or simple automations.
We value your AI skills if you have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks.
Demonstrated track record of using and building with modern AI and Agentic AI tools (e.g., Claude Code, Cursor, LLM APIs, MCP servers, or agentic frameworks) to accelerate software delivery and automate engineering workflows.
You'll use Coach, our forward deployed agent, and Claude Code to investigate problems, test changes and ship improvements without relying on engineers for every change.
You'll use Coach, our forward deployed agent, and Claude Code to investigate problems, test changes and ship improvements without relying on engineers for every change.
