AI Engineer - Generative AI & AWS
- Role
- AI / ML
- Experience
- Senior
- Employment
- Contract
Open to Anywhere in LATAM + US. Set where you work from to check your eligibility.
No BS summary
Senior AI Engineer in Latin America with 3+ years in software/cloud/ML/AI engineering and 2+ years hands-on with Generative AI, LLMs or AI Agents. Must have strong Python, APIs, AWS, Docker/Kubernetes, CI/CD, advanced English and Spanish, and availability for U.S. business hours.
Core skills
Required skills
Optional skills
Required languages
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. Develop AI Agent workflows and integrations for business use cases. Build and integrate APIs using Python. Work with cloud-based infrastructure and AI services on AWS. Support the development of scalable, reliable, and secure AI applications. Collaborate with technical teams and stakeholders to understand requirements and deliver solutions. Participate in technical discussions, internal interviews, and client-facing conversations when needed. Contribute to continuous integration, deployment, and engineering best practices. Work with tools and technologies such as Docker, Kubernetes, Git, CI/CD pipelines, and AWS services. Troubleshoot, optimize, and improve AI-based solutions as they evolve. Requirements 3+ years of experience in Software Engineering, Cloud Engineering, Machine Learning Engineering, AI Engineering, or similar roles. At least 2 years of hands-on experience working with Generative AI, LLMs, AI Agents, or related AI solutions. Strong Python development experience. Experience building or integrating APIs. Practical experience with AWS cloud environments. Experience or strong familiarity with AI Agents and LLM orchestration. Familiarity with tools such as OpenAI, Claude, Llama, AWS Bedrock, LangChain, LangGraph, CrewAI, AutoGen, or similar technologies. Experience with RAG architectures and/or vector databases is highly valuable. Knowledge of CI/CD practices. Experience with Docker and Kubernetes. Familiarity with Git and modern software development workflows. Advanced English and Spanish 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. Experience with LangChain, LangGraph, CrewAI, AutoGen, Open WebUI, or MCP. Experience with RAG pipelines, vector databases, embeddings, retrieval strategies, and prompt engineering. Experience deploying AI solutions into production or near-production environments. Experience with MLOps, monitoring, observability, and AI governance. Experience in insurance, banking, fintech, healthcare, or other regulated industries. Experience integrating AI solutions with enterprise systems, CRMs, ITSM tools, ServiceNow, or internal platforms. Benefits 100% remote opportunity. Work with a U.S.-based insurance client. Opportunity to participate in advanced Generative AI and AI Agent initiatives. Exposure to AWS-based AI and cloud environments. International, English-speaking work environment. Opportunity to work on robust, business-critical AI solutions in a regulated industry.
What you'll do
- Design, build, and implement Generative AI solutions using Large Language Models and modern AI tools.
- Develop AI Agent workflows and integrations for business use cases.
- Build and integrate APIs using Python.
- Work with cloud-based infrastructure and AI services on AWS.
- Support the development of scalable, reliable, and secure AI applications.
- Collaborate with technical teams and stakeholders to understand requirements and deliver solutions.
- Participate in technical discussions, internal interviews, and client-facing conversations when needed.
- Contribute to continuous integration, deployment, and engineering best practices.
- Work with tools and technologies such as Docker, Kubernetes, Git, CI/CD pipelines, and AWS services.
- Troubleshoot, optimize, and improve AI-based solutions as they evolve.
What they require
- 3+ years of experience in Software Engineering, Cloud Engineering, Machine Learning Engineering, AI Engineering, or similar roles.
- At least 2 years of hands-on experience working with Generative AI, LLMs, AI Agents, or related AI solutions.
- Strong Python development experience.
- Experience building or integrating APIs.
- Practical experience with AWS cloud environments.
- Experience or strong familiarity with AI Agents and LLM orchestration.
- Familiarity with tools such as OpenAI, Claude, Llama, AWS Bedrock, LangChain, LangGraph, CrewAI, AutoGen, or similar technologies.
- Experience with RAG architectures and/or vector databases is highly valuable.
- Knowledge of CI/CD practices.
- Experience with Docker and Kubernetes.
- Familiarity with Git and modern software development workflows.
- Advanced English and Spanish
- Availability to work aligned with U.S. business hours from Latin America
- Preferred: Experience deploying AI solutions into production or near-production environments.
- Preferred: Experience with MLOps, monitoring, observability, and AI governance.
- Preferred: Experience in insurance, banking, fintech, healthcare, or other regulated industries.
- Preferred: Experience integrating AI solutions with enterprise systems, CRMs, ITSM tools, ServiceNow, or internal platforms.
Benefits
- 100% remote opportunity.
- Work with a U.S.-based insurance client.
- Opportunity to participate in advanced Generative AI and AI Agent initiatives.
- Exposure to AWS-based AI and cloud environments.
- International, English-speaking work environment.
- Opportunity to work on robust, business-critical AI solutions in a regulated industry.
U.S.-based insurance company specializing in commercial Property & Casualty insurance, including Workers’ Compensation, catastrophe and earthquake coverage, reinsurance, and liability insurance.