How to hire Claude Code developers: Skills, costs, and hiring guide
Claude Code is part of that shift. Anthropic describes it as an agentic coding tool that can read a codebase, edit files, run commands, and integrate with development tools. But getting value from these capabilities still depends heavily on the engineers using them.
That makes hiring Claude Code developers different from simply finding software engineers who have experimented with an AI coding assistant. Strong Claude Code experts combine solid software engineering fundamentals with practical experience in agentic workflows, context management, Model Context Protocol (MCP), testing, code review, and AI-assisted development.
As a member of the Claude Partner Network, Globaldev works hands-on with Claude Code, MCP integrations, agentic workflows, and AI-assisted software engineering. Our teams are developing practical ways to integrate Claude into real development processes rather than treating AI as a standalone coding tool.
This guide explains what Claude Code developers do, what skills to evaluate, where to find Claude Code developers, which hiring model may work best, and what determines the cost to hire an AI developer with Claude expertise.
What is Claude Code?
Claude Code is Anthropic’s agentic coding tool designed to work directly with software projects. It can understand a codebase, edit files across a repository, execute commands, build features, fix bugs, work with Git, and connect to external development tools.
According to the official Claude Code documentation, developers can use Claude Code through the terminal, IDEs, desktop application, or browser. It can also participate in broader workflows such as automated code review, issue triage, CI/CD processes, and multi-agent development.
This is what makes Claude Code for developers different from basic AI autocomplete. Instead of only suggesting the next few lines of code, Claude Code can work with a broader task and the surrounding project context.
For example, a developer might ask Claude Code to investigate a bug. Claude can trace the relevant code, identify dependencies, propose a solution, modify several files, run tests, and help prepare the resulting commit or pull request. The developer remains responsible for reviewing the approach and validating the result.
It is also useful to distinguish a Claude Code developer from a Claude API developer.
A Claude Code developer primarily uses Claude Code to improve and automate software engineering workflows. A Claude API developer builds software that uses Claude models as part of the application itself. Many experienced AI engineers can do both, but the capabilities solve different problems.
What does a Claude Code developer actually do?
A Claude Code developer is first and foremost a software engineer. Claude Code changes how some engineering work is performed, but it does not eliminate the need for architecture, programming, debugging, testing, security, and product understanding.
Depending on the project, Claude Code developers may use the tool to:
- explore and understand unfamiliar codebases;
- implement features across multiple files and services;
- diagnose and fix bugs;
- refactor legacy code;
- generate and maintain tests;
- review code and identify potential issues;
- automate repetitive engineering tasks;
- create reusable project instructions and AI workflows;
- integrate development tools and data sources through MCP;
- create custom agents or subagents for specialized tasks;
- automate parts of Git, CI/CD, issue management, and documentation workflows.
The important difference is not simply whether a developer uses AI, but how AI is integrated into the engineering process.
MCP and connected development workflows
MCP experience is becoming particularly relevant when assessing Claude Code skills for developers.
The Model Context Protocol is an open standard that allows AI applications to connect with external systems, including data sources, tools, and workflows. For Claude Code, this can mean connecting the coding environment with systems such as Jira, design files, documentation, databases, or internal development tools.
Instead of repeatedly copying information between systems, developers can give Claude controlled access to the context and tools required for a task.
That creates the foundation for a more connected agentic coding workflow.
How Globaldev uses Claude Code
At Globaldev, this is already more than an experimental use case.
We have developed a documented workflow using Claude Code with tools including Figma, Jira, and Confluence through MCP. This approach has already helped reduce development estimates on internal projects.
Our broader approach to AI-enabled software development follows the same principle: AI can support analysis and execution throughout the SDLC, while experienced specialists remain accountable for architecture, decisions, validation, security, and quality.
This practical experience became one of the foundations for Globaldev's expansion within the Anthropic ecosystem and our admission to the Claude Partner Network.
What to look for when hiring a Claude Code developer
When businesses ask what to look for when hiring a Claude Code developer, familiarity with Claude should be only one part of the answer.
The strongest candidates combine conventional engineering expertise with the ability to structure and control AI-assisted development.
- Strong software engineering fundamentals
Start with engineering, not AI. A developer should understand the technology stack required for your project as well as software architecture, APIs, databases, version control, testing, debugging, security, deployment, and maintainability.
A developer who can generate code quickly but cannot evaluate whether that code belongs in a production system creates more risk than value.
When screening AI developers for hire, assess their conventional engineering ability just as rigorously as you would for any senior developer.
- Hands-on Claude Code experience
There is a meaningful difference between someone who has asked Claude programming questions and someone who has incorporated Claude Code into day-to-day development.
Ask candidates to explain how they have used Claude Code on actual repositories.
Good examples might include implementing multi-file features, navigating an unfamiliar codebase, refactoring existing functionality, debugging complex issues, creating tests, reviewing changes, or automating recurring engineering work.
Their answers should demonstrate a repeatable process rather than isolated prompting.
- Agentic development skills
Agentic development requires developers to think differently about task execution.
Instead of using AI for a single request, an engineer may need to break a larger goal into tasks, determine what context each task requires, coordinate tools or agents, evaluate intermediate results, and decide when human intervention is necessary.
When you hire agentic AI developers or hire AI agent developers, look for experience with task decomposition, orchestration, tool permissions, context management, validation, and failure handling.
- MCP and integration experience
For more advanced Claude implementations, MCP knowledge can be an important differentiator.
A developer should understand not only how to connect Claude to an MCP server, but also which tools and data Claude should be allowed to access and under what conditions.
This becomes especially important when Claude interacts with internal systems, repositories, business data, project management platforms, or production-related tooling.
- Prompt and context engineering skills
Effective Claude development is not about finding a magical prompt.
Developers need to know how to provide useful project context, establish constraints, create reusable instructions, describe tools clearly, structure tasks, and prevent irrelevant information from overwhelming the model.
Claude Code, for example, supports project-level instructions that can capture coding standards, architectural decisions, preferred libraries, and review requirements.
These prompt engineering skills and context-management practices help make AI-assisted development repeatable across a team rather than dependent on one developer's personal prompting habits.
- Testing and code review discipline
AI-generated code should be treated as code that needs verification.
Ask candidates how they validate changes created with Claude. Their code review workflow should include the appropriate combination of automated testing, static analysis, security checks, acceptance criteria, and human review.
The strongest Claude developers know when not to trust an AI-generated solution.
How to evaluate Claude Code developers before hiring
A strong technical vetting process should evaluate both engineering capability and the candidate's ability to use Claude effectively.
Instead of testing candidates on Claude terminology, give them a realistic development problem.
Step 1: Evaluate conventional engineering skills
Start with the project's actual technology requirements.
A backend engineer still needs strong backend engineering skills. A React developer still needs to understand frontend architecture and performance. AI expertise should complement these capabilities rather than replace them.
Step 2: Ask candidates to explain their Claude workflow
Useful questions include:
- How do you introduce Claude Code to an unfamiliar repository?
- How do you decide what context Claude needs?
- When would you use a subagent or separate agent?
- How do you validate code generated by Claude?
- How would you prevent Claude from accessing tools or data it does not need?
- How do you incorporate Claude Code into code review and testing?
These questions reveal much more than asking whether somebody knows Claude.
Step 3: Use a practical task
Give the candidate a small repository and a realistic assignment.
For example, ask them to investigate a bug, understand its root cause, propose a solution, implement the change, and verify that it works.
Evaluate both the resulting code and how the candidate works with Claude.
Step 4: Evaluate the process
Look at how the developer decomposes the task, supplies context, evaluates Claude's suggestions, handles unexpected results, uses tests, and explains engineering decisions.
AI can make a developer faster. It should not make their engineering reasoning invisible.
Step 5: Look for production experience
Experiments and personal projects can demonstrate curiosity, but production experience provides a much stronger signal.
Ask what the developer has actually shipped, how AI-assisted changes were reviewed, what problems occurred, and how their workflow evolved as a result.
Claude Code developer vs. general AI developer: Who do you need?
Not every project involving Claude requires the same type of specialist.
The boundaries are not strict. A senior AI engineer may combine several of these capabilities.
That is why companies looking to hire generative AI developers, hire gen AI developers, or hire Claude AI developers for business automation should define the business and engineering problem before choosing a job title.
Where can I hire Claude developers?
Businesses can hire Claude developers through specialized AI engineering companies, Anthropic ecosystem partners, staff augmentation providers, freelance platforms, or direct recruitment.
The right option depends on whether you need one specialist, several developers, a complete engineering team, or broader Claude consulting and implementation support.
Specialized AI and software engineering companies
A specialized Claude Code experts company can be a strong option when you need more than an individual developer.
This model can provide access to engineering leadership, AI expertise, QA, DevOps, architecture, and delivery processes alongside Claude specialists.
It can be particularly valuable when a company is introducing agentic development for the first time and needs help defining how Claude should fit into its existing engineering environment.
Anthropic partners
Another option when determining where to find Claude Code developers is to consider companies within Anthropic's partner ecosystem.
Globaldev was officially approved as a member of the Claude Partner Network in July 2026.
For us, joining the network has provided access to Anthropic partner resources and support from Anthropic's Applied AI experts for complex implementations. The partnership also builds on practical work already happening inside Globaldev, including our documented Claude Code and MCP workflow.
This matters because Claude proficiency should be based on practical capability rather than a logo alone. Partnership, certification, real engineering experience, and production work provide much stronger signals when considered together.
AI staff augmentation
AI staff augmentation services are well suited to companies that already have an engineering organization but need additional Claude or AI capabilities.
Under an IT staff augmentation model, external engineers join or extend the client's existing team while the client retains substantial control over priorities, processes, and product decisions.
This can work particularly well if you need to hire remote AI developers quickly without building an entire AI recruiting and vetting capability internally.
Freelancers
Freelancers can be appropriate for smaller, clearly scoped tasks.
The tradeoff is that the client generally takes greater responsibility for technical vetting, continuity, security processes, and integration with the broader development organization.
Direct hiring
Direct recruitment makes sense when Claude and AI engineering will become a long-term internal capability.
However, companies need enough recruiting and technical expertise to identify strong candidates in a rapidly evolving field.
For organizations that need capability sooner, AI staff augmentation or a dedicated external team can shorten the path to delivery.
Which hiring model should you choose?
There is no universally best way to hire AI developers. The engagement model should match the scope, duration, and level of control your organization needs.
Companies that hire dedicated remote developers can also choose between nearshore and offshore development depending on required timezone overlap, budget, talent availability, and communication preferences.
For larger initiatives, a dedicated development team can provide more continuity than hiring individual freelancers while still giving the client access to specialized AI expertise.
How much does it cost to hire Claude Code developers?
There is no separate market rate for Claude Code developers. In practice, the cost to hire a Claude Code developer is primarily determined by the same factors that shape software developer rates more broadly: seniority, technical specialization, location, engagement model, and project complexity.
At Globaldev, we do not treat the ability to work effectively with Claude Code and other AI development tools as a reason, on its own, to add a premium to a developer's standard rate. We increasingly see AI-assisted development as part of the modern engineering skill set — an additional capability that helps developers work more efficiently and effectively, rather than a separate specialization clients should automatically pay extra for.
In other words, a backend, frontend, or full-stack developer who is proficient in Claude Code remains, first and foremost, a software engineer. Their rate is primarily shaped by their engineering expertise and seniority. Their ability to integrate AI into the development workflow adds value to that expertise.
The main factors influencing developer rates therefore include:
- developer seniority and experience;
- technology stack and specialization;
- location and hiring market;
- staff augmentation, dedicated team, or project delivery model;
- project complexity and scope;
- security and compliance requirements;
- need for additional roles such as QA, DevOps, design, or architecture.
This distinction is becoming increasingly important as AI-assisted development moves from an emerging capability toward an expected part of professional software engineering. Knowing how to use Claude Code effectively — while maintaining sound engineering judgment, testing discipline, security, and human oversight — can help developers accelerate parts of the SDLC without changing the fundamentals of how their expertise is valued.
There is, however, a separate cost to consider: the cost of the AI tooling itself. Developer rates cover engineering expertise, while Claude Code pricing covers access to and usage of Anthropic's tools and models. Usage costs can vary depending on the model, workload, team setup, and amount of context processed. Anthropic provides guidance for monitoring and managing these costs in its Claude Code documentation.
So, when estimating how much it costs to hire Claude Code developers, businesses should consider the standard factors that determine software engineering rates, plus the cost of the AI tools used in the development environment — rather than assuming that AI proficiency itself requires a separate premium.
Claude Code vs. Cursor, GitHub Copilot, and other AI coding tools
Claude Code experience does not mean a developer should use Claude exclusively.
Modern engineers may work with Claude Code, Cursor, GitHub Copilot, Devin, or other AI development tools depending on the project and task.
The important hiring question is therefore not: Does this developer use only Claude Code?
It is: Does this developer understand how to use AI effectively within a professional software engineering process?
Experience with Cursor, GitHub Copilot, or other AI coding environments can be valuable because many underlying skills transfer: providing context, decomposing work, reviewing generated code, designing agentic workflows, and maintaining human control over engineering decisions.
For organizations specifically adopting Anthropic's ecosystem, however, deeper knowledge of Claude Code configuration, MCP, Claude APIs, context management, and agent workflows becomes particularly important.
Why hire Claude Code developers through Globaldev?
For businesses looking to hire Anthropic Claude developers, Globaldev combines Claude-specific expertise with established software engineering and flexible team extension capabilities.
We are part of the Claude Partner Network
Globaldev officially joined the Claude Partner Network in July 2026.
The partnership gives our teams access to Anthropic's partner ecosystem, including technical resources and direct support for complex client implementations. It also reinforces the investment we are making in Claude certifications and practical Claude expertise.
We have hands-on Claude Code and MCP experience
Our developers have created a documented workflow that connects Claude Code with Figma, Jira, and Confluence using MCP.
That allows us to explore something more valuable than isolated code generation: how Claude can operate with the project context engineers already use throughout software delivery.
The experience also feeds into our broader AI-enabled SDLC approach, where AI supports requirements, design, development, QA, and other engineering activities while specialists remain accountable for the final result.
We combine Claude expertise with established software engineering
Knowing how to use Claude is not enough to build production software.
Globaldev brings Claude capabilities into an established engineering environment covering product discovery, UX/UI, architecture, software development, QA, DevOps, modernization, and long-term support.
This means clients can access Claude Code experts without separating AI experimentation from the engineering practices required to ship and maintain real products.
We invest in developing Claude expertise
Our Claude proficiency is an active engineering practice rather than a static tool certification.
Globaldev teams develop their capabilities through Anthropic learning and certification resources, internal knowledge sharing, practical experimentation, reusable workflows, MCP integrations, and real software engineering use cases.
The areas we develop include agentic architecture and orchestration, Claude Code configuration, MCP, context management, prompt engineering, AI-assisted development, testing, and review.
This helps us build teams where AI capability is supported by engineering discipline.
We offer flexible ways to access Claude expertise
Not every company needs the same engagement model. If you already have an engineering organization, Globaldev can provide AI staff augmentation and add Claude-capable developers to your existing team.
If you need broader capacity, you can hire dedicated software developers or assemble a dedicated development team with the required engineering and AI expertise.
And when the challenge goes beyond hiring developers, our Claude consulting and implementation capabilities can help define how Claude should be introduced, governed, integrated, and scaled across your organization.
How to hire Claude Code developers from Globaldev
Hiring through Globaldev starts with the engineering problem rather than a predefined team structure.
We first identify what you need to build, the existing technology environment, and where Claude or other AI capabilities should contribute. From there, we define the required technical profile and recommend an appropriate collaboration model.
Depending on the project, that can mean adding one or more Claude Code developers to your team, creating a dedicated development team, or combining engineering resources with Claude consulting and implementation expertise.
You can review relevant specialists, discuss their technical experience, and interview them before moving forward.
The result is a team selected around your actual product and engineering requirements rather than simply a generic pool of AI developers for hire.
Whether you need to extend your existing team with Claude Code developers, build a dedicated AI-enabled engineering team, or introduce Claude more broadly into your development organization, we can help you choose and implement the right approach.