> Markdown version of [/jobs/ext/2529208-ai-ml-systems-design-engineer](https://www.wearedevelopers.com/jobs/ext/2529208-ai-ml-systems-design-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/ML Systems Design Engineer - **Company:** Net2Source - **Location:** United States - **Salary:** $145,600.0 - $158,080.0 - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Artificial Neural Networks, Big Data, Data Cleansing, Machine Learning, Tensorflow, System Testing, Feature Engineering, Pytorch, Large Language Models, Database Optimization, Deep Learning, Generative AI, Data Analytics, Machine Learning Operations - **Published:** August 7, 2026 - **Apply:** https://www2.jobdiva.com/portal/?a=fyjdnwkqny26xqof9rceu6y6gam6750308agqi8uui1cmk3v9j6duy26aoewnusi&compid=0/jobs/28799108#/jobs/28799108 ## About the Role * Proficiency in system design, development, and validation methodologies * Deep understanding of relevant regulations, standards, and best practices * Experience with machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch) * Proficiency in data analysis and modeling techniques * Ability to develop and implement AI/ML models for system validation and optimization * Knowledge of AI/ML best practices and industry standards * Experience with AI/ML tools and libraries * Strong understanding of neural networks and deep learning techniques * Ability to work with large datasets and perform data preprocessing and feature engineering * Hands on experience designing and implementing LLM powered agents and Retrieval Augmented Generation (RAG) pipelines, including prompt orchestration, tool calling, vector store indexing strategies, and evaluation of end to end agentic workflows * Experience in integrating AI/ML solutions into existing systems and workflows * Strong analytical/problem-solving skills and pronounced attention to details * Must be a self-starter, and able to independently drive tasks to completion ## Description We are looking for a dynamic, energetic experienced Systems Design Engineer to join our growing team. As a key contributor to the success of Client's product, you will be part of a leading team to drive and improve Client's abilities to deliver the highest quality, industry leading technologies to market. The Validation Architecture team fosters and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development., As a Systems Design Engineer ML/AI, you will drive balanced, scalable AI/ML validation solutions. In this high visibility position, your design and implementation will be necessary towards product development, definition, and root cause resolution., * Driving technical innovation to improve Client's ML/AI capabilities across validation, technical and procedural methodology enhancement, and various internal and cross-functional technical initiatives * Designing and implementing machine learning models and algorithms to solve complex problems * Monitoring and evaluating the performance of AI/ML models and making necessary improvements * Documenting processes, models, and algorithms for future reference * Collaborating with cross-functional teams to integrate AI/ML solutions into various applications ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [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) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) ## 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 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) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)