What you'll do
About the Role
We are looking for a Senior Machine Learning Engineer to lead the end-to-end design and implementation of large-scale, production-grade AI systems. This is a highly hands-on role focused on building, scaling, and operating ML systems that serve a high volume of users in real-world environments.
You will take ownership of ML system architecture — from data pipelines and model integration to inference, monitoring, and optimization — with a strong emphasis on AWS-based infrastructure and RAG architectures deployed at scale.
This is not a research role. We are looking for a senior systems builder who has successfully delivered AI/ML platforms in production and understands the challenges of reliability, performance, cost efficiency, and scalability in high-traffic environments.
You will collaborate closely with AI, data science, and product teams while operating with high autonomy and technical ownership.
This is a fully remote position, open to candidates based in LATAM, with a preference for Eastern or Central time zones to collaborate effectively with teams across the US, Europe, and India.
Responsibilities
Build and maintain production-grade data pipelines that power AI systems, integrating with existing infrastructure and developing new pipelines as needed
Design, implement, and deploy RAG architectures, embeddings pipelines, and LLM-powered features on AWS
Implement monitoring, observability, and evaluation frameworks for AI systems, including performance, cost, and output quality metrics
Rapidly prototype, test, and validate AI approaches, iterating from experimentation to production-ready solutions
Optimize LLM usage across the platform, including model selection, prompt engineering, and inference deployment
Collaborate closely with product and data science teams to translate business and customer needs into working AI systems
Ensure systems are scalable, maintainable, well-documented, and ready for long-term use
Requirements
Technical & Professional Experience
10+ years of experience in machine learning engineering, data engineering, or a combination of both
5+ years of experience building and deploying production AI applications using LLMs
3+ years of hands-on experience with RAG architectures, vector databases, embeddings, and retrieval systems in production
Experience using AWS Bedrock for AI/ML workloads.
Strong data engineering skills, including pipeline design, data transformation, and large-scale dataset handling
Solid software engineering fundamentals, including version control, testing, CI/CD, and code review practices
Ways of Working
Ability to work independently with minimal supervision while collaborating effectively with cross-functional teams
Strong ownership mindset and accountability for end-to-end delivery
Active use of AI-assisted development tools (e.g., Cursor, Claude Code, GitHub Copilot) in daily workflows
Nice to Have
Experience with LLM fine-tuning and a clear understanding of when to fine-tune versus rely on prompt engineering
Background in retail, e-commerce, or product data domains
Experience with Python, Node.js, and modern application development stacks
Experience optimizing AI models for cost-efficient inference at scale
Benefits
100% remote work
International contractor contract with competitive USD compensation
Stable, long-term client engagement
Flexible schedule and high autonomy
Exposure to complex, large-scale technical challenges
Supportive, inclusive, and collaborative engineering culture
About the Company
We are technology agency with over 10 years of experience delivering high-impact software solutions for international clients, primarily across the US and Canada. We partner with leading companies to build scalable, secure, and data-driven platforms, embedding our engineers directly with client teams as trusted long-term partners. Our culture is remote-first and grounded in technical excellence, ownership, collaboration, and accountability.