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Mid LevelFull-timePythonVueNode.jsAWSDockerMongoDBAIMLNLP
Salary Range
$102,000 - $138,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for an English-fluent PART-TIME AI Engineer with a backend focus to join GoFasti, a Talent-as-a-Service company that connects developers and designers from Latin America with global companies. This role involves designing, developing, and deploying AI-driven features and services.
Key Responsibilities
- →Design, develop, and deploy AI-driven features and services for the client’s platform.
- →Integrate LLMs (e.g., Anthropic Claude, OpenAI GPTs, Bedrock models) into production workflows.
- →Build and maintain backend services using Node.js and MongoDB.
- →Collaborate on full-stack development (Vue.js frontend) when needed.
- →Architect, containerize, and deploy applications using AWS (EC2, Fargate, Lambda, SQS, SES, S3, CloudFront) and Docker.
- →Implement data pipelines, web scraping solutions, and AI/data engineering workflows.
- →Optimize system performance, scalability, and reliability in a cloud-native environment.
- →Support ongoing AI experimentation and transition prototypes into production-ready Systems.
Requirements
- ✓3+ years of experience as an AI Engineer.
- ✓Strong experience in backend or full-stack development (Node.js, MongoDB required; Vue.js a plus).
- ✓Hands-on experience deploying applications on AWS (EC2, Fargate, Lambda, SQS, S3, etc.) with Docker.
- ✓Experience integrating and operationalizing LLMs (e.g., OpenAI, Anthropic, AWS Bedrock).
- ✓Proficiency in Python for AI/ML or data engineering tasks preferred.
- ✓Solid understanding of AI/ML fundamentals, NLP, and production ML workflows.
- ✓Experience with data engineering, web scraping, and building scalable data pipelines.
- ✓Ability to move from AI prototypes to secure, maintainable, production-grade systems.
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