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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Machine Learning Engineer - **Company:** XIFIN, Inc. - **Location:** San Diego, CA, United States - **Experience:** Starter - **Salary:** $70,000.0 - $100,000.0 - **Contract:** Internship / Graduate position - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Information Engineering, Data Structures, Python (Programming Language), Machine Learning, Performance Tuning, Tensorflow, Software Engineering, Jupyter Notebook, Pytorch, Large Language Models, Prompt Engineering, Model Validation, Reliability of Systems, Generative AI, Scikit Learn, Information Technology, Virtual Agents, Api Design - **Published:** June 9, 2026 - **Apply:** https://www.dice.com/job-detail/5fe2e516-dcd7-4295-b22a-4a2ae983b30a ## About the Role We're looking for someone with a growth mindset and a passion for learning. You might be a great fit if you: * Demonstrate a strong growth mindset and eagerness to learn emerging AI technologies * Approach complex problems with analytical thinking and structured problem-solving * Take ownership of your work and actively seek feedback to improve * Collaborate effectively in a team environment and communicate ideas clearly, You don't need to check every box. We will consider a combination of education and experience, including: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field * 0-3 years of programming experience in Python (including academic projects, internships, research, or personal projects) * Foundational understanding of data structures, algorithms, and software development principles * Demonstrated interest in artificial intelligence, automation, and applied machine learning Preferred (not required): * Exposure to generative AI or large language models through coursework, projects, research, or internships * Experience working with APIs, Jupyter notebooks, or workflow automation tools * Familiarity with ML frameworks or libraries (e.g., PyTorch, TensorFlow, scikit-learn, LangChain, or similar) * Internship or research experience in data engineering, machine learning, or software engineering * Healthcare and/or revenue cycle management (RCM) exposure through coursework, research, internships, or demonstrated interest ## Description As an Associate ML Engineer/ Agentic AI, you will be part of a high-performing team of AI and engineering professionals reporting directly to the Director of AI Engineering (or equivalent leader). In this role, you will help build the next generation of Agentic AI, AI systems that can plan, act, and deliver outcomes, not just respond to prompts. You will contribute to AI agents deployed in real production environments, gaining hands-on experience with generative AI, automation, and decision-driven systems. This role offers strong mentorship, meaningful project ownership, and clear growth opportunities within a fast-evolving AI practice. This position will be located at one of our offices in San Diego, CA. This position is not eligible for employment sponsorship now or in the future. Applicants must have current and ongoing authorization to work in the United States. How you will make an impact: In this role, you'll: What will you do? * Contribute to the development and improvement of AI agents that execute multi-step workflows and business processes * Work with large language models (LLMs), APIs, and internal platforms to automate real-world healthcare and revenue cycle operations * Support agent behavior design, including planning logic, decision-making frameworks, validation layers, and guardrails * Test, monitor, and improve agent outputs, performance metrics, and system reliability in production environments * Collaborate closely with engineering, product, data, and business stakeholders to translate requirements into intelligent automation solutions * Assist in experimentation, prompt engineering, model evaluation, and iterative performance tuning ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [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) - [From Model to Metal: An Open Source Stack for Accelerating Intelligence](https://www.wearedevelopers.com/videos/1636-from-model-to-metal-an-open-source-stack-for-accelerating-intelligence) - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) ## 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 – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [How to start an AI project for a good cause and boost your career](https://www.wearedevelopers.com/magazine/15-how-to-start-an-ai-project-for-a-good-cause-and-boost-your-career)