01
Add Claude-specific capacity without hiring a full-time AI engineer for a single initiative.
Preparing experience
Anthropic Claude engineers for production AI
Hire Claude Developers
Hire developers who build production applications on Claude—copilots, RAG systems and agentic workflows connected to your data, APIs and approval chains, with evaluation and human review designed in from the first release.
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Capabilities included
What this type of engagement typically covers.
- Claude API & tools
- RAG & agents
- Evaluation loops
- Production FastAPI
Why WLC
Built for buyers who need clarity, speed and accountability.
Three principles that shape how we scope, build and deliver every engagement.
02
Connect Claude to real systems—documents, tickets, APIs and approval workflows—rather than shipping a demo chat.
03
Build evaluation, guardrails and observability in from day one, not as a post-launch patch.
04
Get engineers who can choose Claude models against cost, latency and quality for your specific task.
05
Pair Claude application work with the Python/FastAPI backend that serves it in production.
06
Explain model behaviour and trade-offs in plain language to non-technical stakeholders.
Delivery model
A clean path from idea to launch.
Use-case brief
Skill match
Technical interview
Secure onboarding
Model evaluation
Questions buyers ask
Common questions before starting a project.
Yes—they are matched for Claude API, tool use, prompt design and production patterns on Anthropic's platform, not only generic chatbot wrappers.
Yes—multi-model routing across Claude and OpenAI is common; we can staff for Claude-first work with OpenAI as a fallback or specialist path.
Yes—retrieval over your documents and multi-step agents that call your APIs are the two most common Claude staffing requests.
A technical screening covering Claude tool use, retrieval architecture, evaluation methodology and hands-on production integration experience.
Both—Claude application work is delivered through Python FastAPI backends with the same engineering standard as the rest of our stack.
Related pages
Continue exploring WLC capabilities.
Ready to move
Tell us what you are building — we will map a practical route.
Share the outcome, timeline and constraints you are working with. We will respond with useful next questions and a clear way to start.