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 Workers’ 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.
Responsibilities-
Design, build, and implement Generative AI solutions using Large Language Models and modern AI tools.
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Develop AI Agent workflows and integrations for business use cases.
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Build and integrate APIs using Python.
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Work with cloud-based infrastructure and AI services on AWS.
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Support the development of scalable, reliable, and secure AI applications.
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Collaborate with technical teams and stakeholders to understand requirements and deliver solutions.
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Participate in technical discussions, internal interviews, and client-facing conversations when needed.
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Contribute to continuous integration, deployment, and engineering best practices.
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Work with tools and technologies such as Docker, Kubernetes, Git, CI/CD pipelines, and AWS services.
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Troubleshoot, optimize, and improve AI-based solutions as they evolve.
Requirements
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3+ years of experience in Software Engineering, Cloud Engineering, Machine Learning Engineering, AI Engineering, or similar roles.
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At least 2 years of hands-on experience working with Generative AI, LLMs, AI Agents, or related AI solutions.
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Strong Python development experience.
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Experience building or integrating APIs.
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Practical experience with AWS cloud environments.
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Experience or strong familiarity with AI Agents and LLM orchestration.
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Familiarity with tools such as OpenAI, Claude, Llama, AWS Bedrock, LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
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Experience with RAG architectures and/or vector databases is highly valuable.
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Knowledge of CI/CD practices.
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Experience with Docker and Kubernetes.
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Familiarity with Git and modern software development workflows.
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Advanced English and Spanish
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Availability to work aligned with U.S. business hours from Latin America
Nice to Have-
Experience with AWS Bedrock, SageMaker, Lambda, ECS/EKS, API Gateway, S3, IAM, or CloudWatch.
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Experience with LangChain, LangGraph, CrewAI, AutoGen, Open WebUI, or MCP.
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Experience with RAG pipelines, vector databases, embeddings, retrieval strategies, and prompt engineering.
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Experience deploying AI solutions into production or near-production environments.
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Experience with MLOps, monitoring, observability, and AI governance.
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Experience in insurance, banking, fintech, healthcare, or other regulated industries.
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Experience integrating AI solutions with enterprise systems, CRMs, ITSM tools, ServiceNow, or internal platforms.
Benefits
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100% remote opportunity.
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Work with a U.S.-based insurance client.
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Opportunity to participate in advanced Generative AI and AI Agent initiatives.
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Exposure to AWS-based AI and cloud environments.
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International, English-speaking work environment.
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Opportunity to work on robust, business-critical AI solutions in a regulated industry.
