> Markdown version of [/jobs/ext/1933740-python-genai-engineer](https://www.wearedevelopers.com/jobs/ext/1933740-python-genai-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). --- # Python/GenAI Engineer - **Company:** Mitchell Martin - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $160,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Big Data, Cloud Computing, Data Mining, Data Retrieval, Python (Programming Language), Search Technologies, SQL Databases, Systems Integration, Large Language Models, Generative AI, Containerization, Production Code, Docker, Service Stack, Microservices - **Published:** August 5, 2026 - **Apply:** https://www.dice.com/job-detail/d874e3d0-2aa4-4b5f-9d11-0f5fc0e238ce ## About the Role 6 years of professional experience in Python, with a focus on clean, tested, production-grade code. 1.5 years of experience in building production-level AI/LLM applications. Proficiency in agentic frameworks and structured output extraction. Strong skills in SQL and handling large datasets. Experience with cloud platforms, preferably Azure, and containerization tools like Docker. ## Description Join our team as a Senior Engineer focusing on Python and Generative AI technologies. This remote, full-time role involves developing advanced AI platforms, integrating semantic search, and creating microservices for complex reasoning tasks. Ideal candidates will be experienced in building production-grade systems, solving natural language problems, and ensuring structured outputs using modern technology stacks. Key Responsibilities Develop AI-powered agents for classification and data extraction. Create pipelines to convert natural language into structured data. Integrate semantic search functionalities for improved data retrieval. Design and implement microservices for asynchronous operations. Collaborate across teams with clear and concise documentation. ## Related Videos - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## 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) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care)