> Markdown version of [/jobs/ext/2208708-ai-engineer-remote](https://www.wearedevelopers.com/jobs/ext/2208708-ai-engineer-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer (Remote) - **Company:** Clevertech Partners, LLC - **Location:** New York, NY, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Airflow, Machine Learning, Tensorflow, Workflow Management Systems, Enterprise Software Applications, Chatbots, Pytorch, Apache Spark, Scikit Learn, Apache Kafka, Nintex, Data Pipelines - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecc9zauud ## About the Role * Experience: 3-5+ years in AI/ML engineering with a track record of deploying AI into production at scale. * Technical Skills: Strong backend Python; expertise with ML frameworks (TensorFlow, PyTorch, Scikit-Learn, etc.); familiarity with modern data pipeline tools (Airflow, Spark, Kafka) and workflow orchestration frameworks such as n8n or LangGraph. * Applied AI: Background in enterprise applications such as chatbots, workflow automation, RAG pipelines, or intelligent document processing. * Domain Awareness: Understanding of regulated industries (financial services, insurance, or similar) with the ability to design compliance-aligned models. * Collaboration: Comfortable working with a lean, high-performing team and influencing technical direction. * Adaptability: Excels in startup-like environments with flexible, evolving tech stacks., This is a fully remote position open to candidates based in Latin America (LATAM). While location is flexible, candidates must be willing to maintain at least a 6-hour overlap with core business hours, which are primarily aligned with the Pacific, Central, or Eastern U.S. time zones to ensure effective collaboration with project teams. ## Description We're seeking experienced AI Engineers to join a high-growth fintech prospect focused on back-office workflow automation. This role is an opportunity to design and deploy production-grade AI systems for community banks, mortgage, and insurance institutions while shaping a flexible, modern architecture alongside an accomplished executive team. What You'll Be Doing * Design, build, and deploy AI models into production (not just prototypes or wrappers). * Develop and maintain backend Python services that power intelligent automation workflows. * Implement enterprise-scale data pipelines for ingesting and processing financial and regulatory documents, with automated data quality checks and monitoring. * Train and optimize models on banking rules, compliance standards, and regulatory datasets. * Build intelligent routing systems (e.g., auto-approval for simple loans/accounts, escalation to humans for complex cases). * Collaborate with engineering leadership to shape architecture, delivery models, and stack decisions. * Ensure compliance-first design, embedding regulatory considerations into every product feature. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Your next 10x engineer isn't in your city. Refactor accordingly.](https://www.wearedevelopers.com/videos/100103-your-next-10x-engineer-isn-t-in-your-city-refactor-accordingly) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [The AI-Ready Stack: Rethinking the Engineering Org of the Future](https://www.wearedevelopers.com/videos/1706-the-ai-ready-stack-rethinking-the-engineering-org-of-the-future) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)