> Markdown version of [/jobs/ext/1238245-sr-aiml-engineer-python-aiml](https://www.wearedevelopers.com/jobs/ext/1238245-sr-aiml-engineer-python-aiml). 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). --- # Sr AIML Engineer / Python AIML - **Company:** MELANIE S DELACRUZ - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $93,879.0 - $113,059.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Software Applications, Continuous Integration, Python (Programming Language), Machine Learning, Cloud Services, Systems Integration, ReactJS, Large Language Models, Generative AI, Backend, Fastapi, AI Platforms, Front End Software Development, Api Design, Artificial Intelligence Markup Language (AIML) - **Published:** July 11, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=d2c029a2f196277f ## About the Role * Strong experience building APIs and backend services using Python and FastAPI * Hands-on experience developing frontend applications using React * Strong experience designing, developing, and deploying Generative AI (GenAI) solutions and AI-powered applications * Strong experience working with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) architectures * Experience integrating LLMs and AI services using platforms such as AWS Bedrock and SageMaker * Experience building end-to-end AI applications integrating frontend, backend, models, and cloud services * Implement and manage CI/CD pipelines for application and AI/ML deployments .. ## Description The Sr AIML Engineer will design, develop, and deploy scalable GenAI and AI/ML applications across the enterprise. The role focuses on building end-to-end AI solutions using Python, FastAPI, React, LLMs, RAG architectures, and AWS services such as Bedrock and SageMaker. The engineer will work closely with cross-functional teams to deliver secure, production-ready AI applications and support CI/CD-driven deployments. ## 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) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Building and Deploying Multi-Agent Systems with ADK and Vertex AI](https://www.wearedevelopers.com/videos/1918-building-and-deploying-multi-agent-systems-with-adk-and-vertex-ai) ## Related Articles - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [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) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [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)