> Markdown version of [/jobs/ext/2211119-ai-machine-learning-engineer](https://www.wearedevelopers.com/jobs/ext/2211119-ai-machine-learning-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 Machine Learning Engineer - **Company:** HAYSTACK MOBILE TECHNOLOGIES, LLC - **Location:** United States (Remote available) - **Salary:** $104,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, COBOL (Programming Language), Continuous Integration, Linux, Programming Tools, Spring Framework, Python (Programming Language), Machine Learning, Software Organization, Large Language Models, Prompt Engineering, Git, Machine Learning Operations, Api Design, Restful APIs - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pecjal9xsk ## About the Role * Proven experience as a Machine Learning Engineer with a background in legacy transformations (mainframe, Micro Focus COBOL, Linux). * Experience integrating AI/ML tools, APIs, or platforms (e.g., OpenAI API, Azure AI, AWS Bedrock). * Strong proficiency in prompt engineering and fine-tuning techniques for Large Language Models. * Solid understanding of modern software development practices including CI/CD, Git, and REST API development. * Expertise in Linux, Java, Spring, and Python. * Familiarity with IDE ecosystems and developer tooling. ## Description * Lead the transformation of legacy insurance platforms, bridging modern AI/ML technologies with existing systems. * Develop and enhance AI-driven document summarization capabilities and define next-generation underwriting solutions. * Serve as a technical lead, mentor, and modernization strategist, guiding the adoption of AI strategy. * Hands-on development of AI/ML workflows, including prompt engineering, using AWS services and LLMs. * Mentor and train teams on AI strategy within Life Underwriting. * Focus on modernizing mainframe and Micro Focus COBOL ecosystems into scalable AI-enabled solutions. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [6 Reasons to Use Java For Your Next AI Project](https://www.wearedevelopers.com/magazine/111-6-reasons-to-use-java-for-your-next-ai-project)