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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # ML Engineer II - **Company:** Press Ganey Associates, LLC - **Location:** United States (Remote available) - **Experience:** Experienced - **Salary:** $110,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Adobe InDesign, Artificial Intelligence, Algorithm Design, Amazon Web Services, Automation of Tests, Microsoft Azure, C Sharp (Programming Language), Continuous Integration, Data Structures, Programming Tools, Distributed Systems, Python (Programming Language), Machine Learning, Object-Oriented Software Development, Performance Tuning, Tensorflow, Big O, Search Technologies, Enterprise Software Applications, Cloud Platform System, Chatbots, Pytorch, Large Language Models, Prompt Engineering, Spring-boot, Caching, Generative AI, Containerization, Kubernetes, Information Technology, Machine Learning Operations, Databricks, Programming Languages, Microservices - **Published:** September 24, 2026 - **Apply:** https://www.builtincolorado.com/auth/login?destination=/job/ml-engineer-ii/11333222 ## About the Role * Bachelor's degree in Computer Science, Engineering, or a related technical discipline, or equivalent practical experience. * 2-5 years of hands-on experience as a Machine Learning Engineer, with a proven track record of designing, building, and optimizing ML models using frameworks like PyTorch or TensorFlow for production environments. * Solid Computer Science fundamentals in data structures, algorithm design, complexity analysis, and performance optimization. * Strong proficiency in object-oriented design and development using modern programming languages such as Python, Java, or C#. * Hands-on experience developing, testing, and supporting applied machine learning services within enterprise software ecosystems. * Practical experience building and maintaining software components for AI-enabled applications or distributed systems. * Hands-on experience integrating AI capabilities into existing enterprise applications rather than building standalone AI prototypes. * Experience implementing and deploying production-grade LLM applications using frameworks such as LangChain, LangGraph, Spring AI, Model Context Protocol (MCP), or similar technologies. * Solid working knowledge of Retrieval-Augmented Generation (RAG), tool calling, prompt engineering, and core AI agent principles. * Experience in observability, CI/CD, automated testing, and production operations for AI applications. * Excellent communication and collaboration skills., * Experience with Databricks, vector search technologies, embedding models, conversational AI, and evaluation strategies for AI agents. * Experience working with AI developer tooling and platform capabilities that accelerate feature delivery. * Experience building large-scale Java microservices using Spring Boot. * Experience with cloud-native platforms (AWS, Azure, or GCP), Kubernetes, and containerized deployments. * Familiarity with model serving, inference optimization, caching strategies, and cost optimization for enterprise AI systems ## Description We're hiring an ML Engineer II to help expand and scale our Machine Learning and Artificial Intelligence capabilities. In this role, you will work on core AI initiatives across multiple business units, execute against established engineering standards for production AI systems, and help build and harden our AI Agents for Healthcare., As an ML Engineer II, you should love building simple solutions to solve hard customer problems, crafting reliable code in an agile environment, and taking ownership of software quality from end to end. You will work within our existing Java and Spring-based platform, adding and modernizing enterprise application features with advanced AI capabilities while growing your software engineering expertise alongside senior team members. What You'll Do * Build, test, and deploy production-ready AI agents and agentic workflows that integrate seamlessly with enterprise applications and business processes. * Implement robust evaluation, monitoring, guardrail, and safety frameworks defined by senior team members to de-risk LLM-powered applications. * Develop and maintain AI-enabled features within our existing Java/Spring platform and distributed microservices ecosystem. * Collaborate with AI Scientists and ML Engineers to productionize models and translate experimentation into reliable software. * Staying up to date with emerging AI technologies and recommending pragmatic adoption strategies that improve product capabilities and developer productivity. * Work closely with, and incorporate feedback from other specialists, tech-ops, and product managers * Participate in design reviews, technical discussions, and requirement planning to continuously grow technical skills and domain knowledge. * Attend daily stand-up meetings, collaborate with your peers, prioritize features, and work with a sense of urgency to deliver value to your customers * Finding quick ways to prototype and test possible solutions to large problems ## Related Videos - [How to Avoid LLM Pitfalls - Mete Atamel and Guillaume Laforge](https://www.wearedevelopers.com/videos/1328-how-to-avoid-llm-pitfalls-mete-atamel-and-guillaume-laforge) - [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) - [HTTP headers that make your website go faster](https://www.wearedevelopers.com/videos/1676-http-headers-that-make-your-website-go-faster) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Event based cache invalidation in GraphQL](https://www.wearedevelopers.com/videos/433-event-based-cache-invalidation-in-graphql) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [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) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)