Senior AI Engineer with German / SO
Design and implement AI agents, prompt-based solutions, and automated workflows for customer-service and payment processes, using Azure Databricks and Python while evaluating quality and production readiness.
Client: ICW
Engagement: Contractor
Location: Remote from Latin America
Language: Advanced English required; Spanish required
Schedule: Aligned with U.S. working hours and U.S. holidays
Description
We are looking for a senior AI Engineer with strong hands-on experience in Generative AI, AI Agents, Python, APIs, AWS, and cloud-based engineering practices.
The selected professional will work with ICW, a U.S.-based insurance company specializing in commercial Property & Casualty insurance, including Workersβ Compensation, catastrophe and earthquake coverage, reinsurance, and liability insurance.
This is a fully remote freelance opportunity for a technically strong and autonomous engineer who can contribute to advanced AI initiatives involving LLMs, agentic AI workflows, API integrations, and AWS-based infrastructure.
The ideal candidate is someone with solid engineering foundations, practical experience building AI-powered solutions, and the ability to work with a U.S.-based client in English.
Requirements
Benefits
Design and implement AI agents, prompt-based solutions, and automated workflows for customer-service and payment processes, using Azure Databricks and Python while evaluating quality and production readiness.
Develop and evolve generative AI applications and services using Python and LLMs, designing RAG solutions, integrating existing systems, and improving the scalability, reliability, and observability of AI products.
Build and deliver AI-powered healthcare products, developing full-stack features, APIs, backend services, and LLM integrations while collaborating with product and clinical teams and applying software, DevOps, and MLOps practices.
Designs and deploys production-grade generative AI systems, including LLM applications, RAG pipelines, and agentic workflows, while improving reliability, scalability, safety, and business impact.
Own the design and production delivery of enterprise AI systems, embedding with client teams to understand operational needs, ship GenAI solutions, and shape AI adoption from strategy through deployment.