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AI Engineer - Generative AI & AWS

Job in Boise, Ada County, Idaho, 83701, USA
Listing for: Aimlroles
Full Time position
Listed on 2026-10-30
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, AWS, Python
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

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, Lang Chain, Lang Graph, CrewAI, Auto Gen, 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, Sage Maker, Lambda, ECS/EKS, API Gateway, S3, IAM, or Cloud Watch.
  • Experience with Lang Chain, Lang Graph, CrewAI, Auto Gen, 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, Service Now, 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.
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