> Markdown version of [/jobs/ext/1996445-ai-engineer](https://www.wearedevelopers.com/jobs/ext/1996445-ai-engineer). 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

- **Company:** Green Key Resources
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software as a Service, Cloud Computing, Continuous Integration, Python (Programming Language), Azure Machine Learning, Software Construction, Cloud Platform System, Large Language Models, Technical Debt, Information Technology, Low Latency, Performance Monitor, Machine Learning Operations
- **Published:** August 8, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/ai-engineer-new-york-ny-usa-58859211

## About the Role

large-scale to reduce technical debt * Ensure adherence to software engineering best practices (CI/CD, testing, documentation) * Optimize cost and latency for large-scale AI inference using advanced methodologies Tasks * Bachelor of Science degree in Computer Science, Engineering, or a related field * Minimum of 6 years of experience in developing and deploying production-grade AI/ML systems * Proficiency in Python and cloud-native development patterns for AI/ML workloads * Expertise in LLM systems, document intelligence, and scalable ML platform design * Strong knowledge of MLOps practices (training, deployment, monitoring) * Solid understanding of statistics, experimentation, and data quality principles * Proven ability to mentor engineers and lead technical design decisions * Experience optimizing cost and latency for large-scale AI inference systems Key requirements *

## Description

Experteer Overview In this role you will design and deploy advanced AI systems to tackle complex business problems within a hybrid work setup. You will work with cross-functional teams to translate AI opportunities into scalable solutions, while mentoring engineers and guiding architectural decisions. You'll build and maintain ML pipelines, evaluate performance, and optimize cost and latency for large-scale AI inference. This position focuses on LLMs, document intelligence, and cloud-based platforms to drive innovation in SaaS and FinTech contexts. Compensation / Benefits * Architect and implement AI systems focused on workflow automation and document intelligence * Lead technical design and decision-making processes aligned with business goals * Collaborate with stakeholders to ensure AI projects deliver measurable outcomes * Develop and maintain ML pipelines for reliable deployment * Establish evaluation metrics and frameworks to monitor performance * Enhance team processes and infrastructure to reduce technical debt * Ensure adherence to software engineering best practices (CI/CD, testing, documentation) * Optimize cost and latency for large-scale AI inference using advanced methodologies Tasks * Bachelor of Science degree in Computer Science, Engineering, or a related field * Minimum of 6 years of experience in developing and deploying production-grade AI/ML systems * Proficiency in Python and cloud-native development patterns for AI/ML workloads * Expertise in LLM systems, document intelligence, and scalable ML platform design * Strong knowledge of MLOps practices (training, deployment, monitoring) * Solid understanding of statistics, experimentation, and data quality principles * Proven ability to mentor engineers and lead technical design decisions * Experience optimizing cost and latency for large-scale AI inference systems Key requirements *


## Related Videos

- [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load)
- [Resolving technical debts in software architecture](https://www.wearedevelopers.com/videos/1680-resolving-technical-debts-in-software-architecture)
- [Green Cloud Computing](https://www.wearedevelopers.com/videos/592-green-cloud-computing)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Unleash the power of 5G in your code: transform your apps](https://www.wearedevelopers.com/videos/1567-unleash-the-power-of-5g-in-your-code-transform-your-apps)
- [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [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)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)