Hire senior Claude developers who build on Anthropic's platform
Senior engineers who build with the Claude API, tool use, MCP and the Claude Agent SDK, and who roll out Claude Code across your engineering team.
By the Ryz Labs team · Updated October 2026
Hiring Claude developers through Ryz gets you senior Latin American engineers who have shipped production features on Anthropic's models: tool use, prompt caching, MCP servers and agents built on the Claude Agent SDK. They are the top 1% of the engineers we interview, and they join your team, in your repos and cloud, within an hour of US time zones.
What our Claude developers work on
Claude work today spans two very different jobs: building products on the Claude API, and changing how your own engineers write software with Claude Code. Our developers do both, and they know which Claude surface fits a given constraint, whether that is the Anthropic API directly or Claude models through Amazon Bedrock, Google Cloud or Microsoft Foundry. Typical projects:
- Document and contract review on the Messages API, with citations back to source passages and structured JSON output validated against a schema.
- Agents built on the Claude Agent SDK that call your internal tools, with permission modes, hooks and a human approval step before anything irreversible.
- MCP servers that expose your ticketing, data warehouse or internal APIs to Claude and other MCP clients, with OAuth and scoped access.
- Claude Code rollouts: CLAUDE.md conventions, custom slash commands, hooks, subagents and Agent Skills checked into your repos, plus Claude Code in GitHub Actions for automated PR review.
- High-volume extraction and classification jobs on the Message Batches API, where latency matters less than cost.
- Migrations from another provider to Claude, including prompt rewrites and side-by-side evals before the switch.
Skills we vet for
- Messages API fundamentals. System prompts, multi-turn state, streaming events, stop reasons and handling refusals and max-token cutoffs cleanly.
- Tool use. Writing tool definitions with precise JSON schemas, parallel tool calls, returning tool errors the model can recover from, and server tools such as web search and code execution.
- Prompt caching and cost control. Ordering context so cache breakpoints actually hit, reading usage fields, and choosing between Opus, Sonnet and Haiku tiers per task.
- Extended and adaptive thinking. When to give the model reasoning budget, how that interacts with tool use, and how to keep latency acceptable.
- Model Context Protocol. Building servers with the official SDKs, choosing between stdio and Streamable HTTP, and connecting remote MCP servers from the API.
- Claude Agent SDK. The same agent loop, context management and permission system that powers Claude Code, used in your own services.
- Claude Code at team scale. Settings, permissions and hooks that make agentic coding safe in a shared monorepo.
- Evaluation. Golden sets and graders that catch regressions when a prompt or model version changes.
How we vet Claude developers
Recruiters source engineers who have shipped Claude-based features to real users, then our in-house ARC system ranks the pipeline. Candidates complete structured NTRVSTA AI interviews focused on agent design, tool contracts and failure handling. Recruiters review every candidate before and after the interview and put together a curated shortlist. AI scores are advisory. People make the decisions.
Sample interview topics
- Your agent calls a tool that times out halfway through a multi-step task. What do you return in the tool_result, and how do you stop the model from retrying something that already had side effects?
- A 40,000-token policy document is sent on every request and costs are climbing. Walk through where you place cache breakpoints and how you confirm they hit.
- Design an MCP server for an internal CRM. Which operations become tools, which become resources, and how do you scope OAuth tokens per user?
- Your team wants Claude Code to run tests and open PRs on its own. Which permissions, hooks and review gates do you set up first?
- When would you move a workload from the synchronous Messages API to the Batches API, and what changes in your error handling?
Ways to hire Claude developers
| Option | Best for | Trade-offs |
|---|
| Freelance marketplace | A short proof of concept on the Claude API | Hard to verify production experience with tool use or MCP. You do the vetting and own the handoff. |
| Staffing or recruiting agency | Filling a defined LLM role with resumes | Screens rarely test agent design, caching or Claude Code governance in depth. |
| In-house recruiting | A permanent platform team built around Claude | Slow, and the interview load lands on the few people who already know the stack. |
| Ryz Labs staff augmentation | Adding Claude expertise to an existing product or platform team | You direct the work. Best when the product, data access and priorities already exist. |
| Ryz Labs AI pod team | Building a Claude-based system end to end inside your cloud | A dedicated pod with a tech lead, ML and backend engineers and weekly demos. Larger scope, planned up front. |
Ryz is not the right fit if you want a packaged AI platform instead of engineers who build in your stack, or a quick hourly gig booked without a conversation. If you need coverage in European or Asian hours, a global network is a better match.
Why hire Claude developers from Latin America
Agent work generates questions all day: should this tool be allowed to write, is this output good enough, who signs off on the new prompt? Developers who share your working hours can put an agent trace in front of a product owner the same afternoon it misbehaves, and fix it before the next morning's standup.
Many senior engineers in Latin America came to LLM work from years of building APIs and backend systems for US companies. That matters with Claude, because most of the hard parts are integration, permissions and reliability, not the prompt itself. They work in English and are comfortable explaining model behavior to non-engineers.
Related roles
FAQ
Can your developers use Claude through our existing cloud account?
Yes. Claude models are available through the Anthropic API and through Amazon Bedrock, Google Cloud and Microsoft Foundry. Our developers build on whichever route your security and procurement teams have approved.
Do you help teams adopt Claude Code, not just build on the API?
Yes. Engineers set up shared CLAUDE.md files, permissions, hooks and Skills in your repos, and can wire Claude Code into CI for PR review, so agentic coding follows your rules.
How is pricing set?
Custom quote, scoped per team. Before you sign, you get a plan, a price and the names of the people who would do the work.
How do the engineers work with our team?
Ryz engineers work on your team, reporting to your leads. They work within an hour of US time zones, including New York hours. Talk to us to scope your team.
Questions we didn't answer? Email info@ryzlabs.com.