> Markdown version of [/jobs/ext/3266681-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/3266681-ai-platform-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 Platform Engineer - **Company:** Motion Recruitment Partners LLC. - **Location:** Waltham, MA, United States - **Experience:** Experienced - **Salary:** $127,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Cloud Computing, Distributed Systems, Python (Programming Language), Machine Learning, Systems Development Life Cycle, Software Engineering, Large Language Models, Software Troubleshooting, Backend, AI Platforms, Machine Learning Operations, Virtual Agents, Restful APIs, GPT, Golang, Microservices - **Published:** September 26, 2026 - **Apply:** https://www.dice.com/job-detail/2b050b68-e8e0-42c1-8487-df6473b2ba9d ## About the Role * 4+ years of backend software engineering experience using Python, Go, Java, or similar languages * 4+ years of experience deploying machine learning or large language model solutions into production environments * Experience building scalable APIs, backend services, and microservices architectures * Strong understanding of cloud infrastructure, distributed systems, and observability * Experience creating monitoring, evaluation, and performance frameworks for AI applications * Strong troubleshooting and problem-solving capabilities * Excellent communication and cross-functional collaboration skills Desired Skills & Experience * Experience building agentic AI systems and autonomous workflows * Hands-on experience with modern LLM frameworks and model serving platforms * Experience designing highly available, real-time application architectures * Familiarity with MLOps, model lifecycle management, and AI governance practices * Experience supporting AI applications after deployment and driving continuous optimization ## Description The team is looking for an engineer who can own solutions end-to-end, from architecture and development through deployment, monitoring, and continuous improvement. You'll partner closely with Product and Engineering teams while helping shape the future of AI-powered applications in a highly collaborative, innovation-driven environment., What You Will Be Doing Daily Responsibilities: 100% Hands On * Design and develop backend services, APIs, and microservices that power AI-driven applications and workflows * Integrate machine learning and large language models into scalable production environments * Own AI features throughout the full development lifecycle, including implementation, deployment, monitoring, and optimization * Build evaluation frameworks that measure AI quality, reliability, and performance * Troubleshoot issues across AI systems, model-serving infrastructure, backend applications, and supporting services * Collaborate with Product and Engineering teams on architecture, system design, and technical planning initiatives * Improve scalability, observability, performance, and reliability across AI platforms and services ## Related Videos - [Livecoding with AI](https://www.wearedevelopers.com/videos/1201-livecoding-with-ai) - [Go with the Flow: Stop the Leaks Before Your Memory's a Waterfall!](https://www.wearedevelopers.com/videos/100073-go-with-the-flow-stop-the-leaks-before-your-memory-s-a-waterfall) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [The Private AI Platform: Why Agentic Apps Need a Private Application Platform](https://www.wearedevelopers.com/videos/100162-the-private-ai-platform-why-agentic-apps-need-a-private-application-platform) - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) ## 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) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)