Hire Claude Developers for Anthropic AI-Powered Applications

AI and ML roles run $30 to $60 an hour depending on seniority, and fixed scope projects have a $10,000 minimum. Claude usage is billed separately per million tokens, by Anthropic or through your cloud provider. That usage bill depends mostly on the model you choose and the tokens each task uses, and prompt caching and the Batch API, which Anthropic discounts by 50 percent, can bring it down.

Our hiring process for Claude developers includes a 60 to 90 minute live coding round on the Claude API, followed by scenario based questions on practical Claude applications such as agents with tool use, document processing and RAG over company knowledge. Candidates who pass walk us through a recent production project and clear a third party background verification. New engineers then serve a probation period, and those who do not meet our bar do not continue with us. You interview shortlisted candidates yourself before anyone joins your team.

Hire a Claude developer when you are building a product feature or internal system on the Claude API, such as an agent, a document workflow or an assistant for your team. Choose a Claude Code rollout when the goal is to help your own engineers use Claude Code well in their daily development work. We run that rollout as a separate Claude Code for engineering teams service, covering the workflows, integrations and training your team needs.

Anthropic recommends starting with Claude Opus 5.5 for most workloads, and the Claude applications we run in client production today use Opus and Sonnet. Anthropic positions Claude Sonnet 5.5 as the best combination of speed and intelligence, Claude Haiku 4.5 as its fastest model and Claude Fable 5.1 for demanding reasoning and long horizon agentic work. We test the candidate models on your own tasks during discovery and recommend one based on accuracy, latency and cost per task.

Yes, we can move an existing OpenAI application to Claude. The work covers adapting your prompts for Claude, switching the integration to the native Claude API and comparing both models on your own test cases for accuracy and cost before production traffic moves. Anthropic offers an OpenAI SDK compatibility layer mainly for testing and comparing models, and says it is not considered a long term or production ready solution for most use cases, so we use it for early comparisons only.

Yes, you can keep Claude inference on US based infrastructure. On the Claude API and Claude Platform on AWS, the inference_geo parameter can require US only inference for Claude 4.6 and later models, which covers Opus 5.5 and Sonnet 5.5 but not Haiku 4.5, at 1.1 times the standard token price. On Amazon Bedrock and Google Cloud the endpoint or inference profile you choose sets the region, and on Microsoft Foundry the US Data Zone Standard deployment type keeps inference in the United States. We set this up during the build to match the data requirements your compliance team gives us.