AI Engineer - Generative AI & AWS
LocationUruguay
Work moderemote
Typefull-time
SenioritySenior
Experience3+ yrs
DepartmentWorkana B2B LATAM
Company size501–1,000 people
PostedJun 23, 2026 · 3mo ago
Verified live23h ago
At a glanceSummarised by Seekless from the posting.
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
Knowledge of CI/CD practices
Experience with Docker and Kubernetes
Familiarity with Git and modern software development workflows
Experience with RAG architectures and/or vector databases
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
Advanced English and Spanish
Availability to work aligned with U.S. business hours from Latin America
Skills
Python
Generative AI
AI Agents
LLMs
APIs
AWS
Docker
Kubernetes
Git
CI/CD
OpenAI
Claude
Llama
AWS Bedrock
LangChain
LangGraph
CrewAI
AutoGen
RAG
vector databases
SageMaker
Lambda
ECS/EKS
API Gateway
S3
IAM
CloudWatch
Open WebUI
MCP
prompt engineering
MLOps
Benefits
Remote work
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.
About the company
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
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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.
•
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.
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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.