# AI Engineer - Generative AI & AWS

**Company:** [Workana](http://jobs.workable.com/companies/wSyiKiaa7abTa8N4S2cpd7.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Workana B2B LATAM

[Apply for this job](http://jobs.workable.com/view/52888e4e-ec67-4071-85c2-1ff8f5afdfc0)

## Description

**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.