AI & Workflow Automation Engineer (Claude / Anthropic Ecosystem)

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Role: AI & Workflow Automation Engineer (Claude / Anthropic Ecosystem)

Priority Location: Brazil, Mexico, Colombia, or South Africa (LATAM & South Africa focus)

Working Hours: Flexible overlap with U.S. Eastern Time (EST core hours required)

Salary Range: $3,500 – $5,500 USD per month (Full-Time) / $25 – $40 USD per hour (Part-Time)

Type of contract: Independent Contractor (Full-Time or Part-Time options available)

Type of job: Remote

About the Company: Our client is an innovative technology organization dedicated to modernizing enterprise workflows through cutting-edge artificial intelligence and automation solutions. Driven by a culture of rapid iteration, autonomy, and technical excellence, our client empowers global teams to eliminate operational friction. As an independent contractor with our client, you will work at the forefront of the generative AI landscape, enjoying high autonomy, flexible location options, and direct impact on high-visibility automation initiatives.

About the Role: We are seeking a creative and technically sound AI & Workflow Automation Engineer specializing in the Anthropic / Claude ecosystem to drive the end-to-end development of intelligent, agentic workflows. In this role, you will design, test, and deploy customized Claude-based AI agents, function-calling pipelines, and automated integrations that streamline complex internal and client-facing processes. This position offers an exciting opportunity to solve real-world operational challenges using modern LLM frameworks, API integrations, and prompt engineering architectures.

Key Responsibilities:
* Architect, test, and deploy custom Claude-based AI agents and agentic workflows utilizing Anthropic’s API, Tool Use (function calling), and Prompt Caching features.

Architect, test, and deploy custom Claude-based AI agents and agentic workflows utilizing Anthropic’s API, Tool Use (function calling), and Prompt Caching features.
* Design and implement robust integrations between LLM APIs and core business systems (e.g., CRMs, ERPs, databases, webhooks, or third-party APIs) using Python, Node.js, or middleware tools (e.g., Make, n8n, LangChain, LlamaIndex).

Design and implement robust integrations between LLM APIs and core business systems (e.g., CRMs, ERPs, databases, webhooks, or third-party APIs) using Python, Node.js, or middleware tools (e.g., Make, n8n, LangChain, LlamaIndex).
* Craft, benchmark, and continuously optimize complex system prompts and structured outputs (JSON/Markdown) to maintain low error rates and consistent execution.

Craft, benchmark, and continuously optimize complex system prompts and structured outputs (JSON/Markdown) to maintain low error rates and consistent execution.
* Build automated testing pipelines to evaluate agent accuracy, latency, guardrails, and failure recovery across varied operational scenarios.

Build automated testing pipelines to evaluate agent accuracy, latency, guardrails, and failure recovery across varied operational scenarios.
* Collaborate closely with product managers and non-technical stakeholders to identify workflow bottlenecks and translate manual procedures into reliable, automated AI workflows.

Collaborate closely with product managers and non-technical stakeholders to identify workflow bottlenecks and translate manual procedures into reliable, automated AI workflows.
* Implement error handling, fallback logic, rate-limit management, and telemetry logging to ensure enterprise-grade stability and security across all deployed agents.

Implement error handling, fallback logic, rate-limit management, and telemetry logging to ensure enterprise-grade stability and security across all deployed agents.
* Maintain clear technical documentation for agent topologies, prompt schemas, and API integration endpoints.

Maintain clear technical documentation for agent topologies, prompt schemas, and API integration endpoints.

Qualifications:
* Minimum 2 years of hands-on experience building production-ready applications or automated workflows using Large Language Models (LLMs), with specific expertise in the Anthropic/Claude platform (Required).

Minimum 2 years of hands-on experience building production-ready applications or automated workflows using Large Language Models (LLMs), with specific expertise in the Anthropic/Claude platform (Required).
* Strong programming background in Python or TypeScript/JavaScript for API integration, asynchronous execution, and data parsing (Required).

Strong programming background in Python or TypeScript/JavaScript for API integration, asynchronous execution, and data parsing (Required).
* Deep understanding of LLM primitives: context windows, function calling / tool use, system prompts, temperature controls, and structured JSON outputs (Required).

Deep understanding of LLM primitives: context windows, function calling / tool use, system prompts, temp