> Markdown version of [/jobs/ext/526911-artificial-intelligence-engineer](https://www.wearedevelopers.com/jobs/ext/526911-artificial-intelligence-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). --- # Artificial Intelligence Engineer - **Company:** Lhi Group Ltd - **Location:** New York, NY, United States - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Continuous Integration, Information Engineering, Python (Programming Language), Machine Learning, Tensorflow, Web Services, Pytorch, Large Language Models, Prompt Engineering, Generative AI, Kubernetes, Machine Learning Operations, Docker - **Published:** June 11, 2026 - **Apply:** https://www.dice.com/job-detail/6ed64266-41b8-4551-adcf-12b6a2de8fae ## About the Role * Experience building and deploying AI/ML solutions in production environments. * Strong Python development skills. * Hands-on experience with LLMs, prompt engineering, RAG architectures, and Generative AI. * Experience with PyTorch or TensorFlow. * Knowledge of Docker, Kubernetes, CI/CD, and MLOps best practices. * Financial Services, Insurance, or Banking experience is highly desirable. ## Description As an Artificial Intelligence Engineer, you'll play a key role in designing and deploying Generative AI and Machine Learning solutions across both internal operations and customer-facing products. Working closely with senior technology leadership, you'll help build AI capabilities from the ground up and have a direct impact on the company's growth strategy., * Design, develop, and deploy Generative AI and Machine Learning solutions. * Build and optimize LLM-powered applications, NLP tools, and AI-driven workflows. * Develop APIs and services that integrate AI capabilities into business platforms. * Create scalable MLOps pipelines for model deployment, monitoring, and continuous improvement. * Collaborate with Data Engineering, Analytics, and business stakeholders to deliver measurable business outcomes. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [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) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) ## 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) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [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)