AI Engineer - Generative AI & AWS
At a glance
Mid-level AI Engineering role at Workana. Remote, Argentina · full-time.
Pay not stated AI Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build generative AI solutions with large language models and develop agent workflows for business needs
- Write Python APIs and connect them with AWS infrastructure and AI services
- Help deliver AI applications that are scalable, dependable and secure
- Work with technical teams and stakeholders to shape requirements, then implement solutions
- Improve deployed AI systems and contribute to CI/CD, engineering practices and technical discussions
What you bring
- At least three years in software, cloud, machine learning or AI engineering, or a similar role
- Two or more years of practical work with generative AI, LLMs, AI agents or related solutions
- Strong Python skills, API development or integration experience, and hands-on AWS knowledge
- Familiarity with agent systems, LLM orchestration, CI/CD, Docker, Kubernetes and Git
- Advanced English and Spanish, plus availability for U.S. business hours
Who this fits
This contractor role suits an autonomous, hands-on engineer who can build AI systems and communicate with a U.S.-based client. It is fully remote from Latin America, with work aligned to U.S. business hours and holidays.
From the employer
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.