Spyglass , Inc. Defunct
Senior Python Developer with AI Framework Expertise
Spyglass , Inc. Defunct, Lincoln, Rhode Island, us, 02865
Job Title: Senior Python Developer with AI Framework Expertise
Summary :
A highly skilled Python developer focused on building scalable, containerized software solutions. This professional has evolved conceptually into AI frameworks such as
Semantic Kernel ,
LangChain , and
AI agents , enabling the integration of intelligent capabilities into traditional systems. Their core strength remains in Python development, container orchestration, and DevOps practices.
Key Responsibilities : Develop and maintain Python-based applications and microservices. Design and deploy containerized solutions using Docker and Kubernetes. Integrate AI capabilities using frameworks like Semantic Kernel and agent-based architectures. Collaborate with cross-functional teams to operationalize AI models. Engineer solutions that blend conventional software engineering with AI-driven components. Stay current with emerging application development methods and AI technologies and evaluate their practical applications. Preferred Skills :
Strong proficiency in Python and libraries such as FastAPI, Flask, and asyncio. Experience with containerization, CI/CD pipelines, and cloud-native development. Familiarity with AI orchestration frameworks (e.g., Semantic Kernel, LangChain). Understanding of prompt engineering, vector databases, and LLM integration to applications. Knowledge of software design patterns and scalable architecture principles. Bonus Skills :
Experience with Azure services , including Azure Functions, Azure Container Apps, Azure AI Studio, and Azure DevOps. Ability to leverage Azure for deploying and scaling intelligent applications
Summary :
A highly skilled Python developer focused on building scalable, containerized software solutions. This professional has evolved conceptually into AI frameworks such as
Semantic Kernel ,
LangChain , and
AI agents , enabling the integration of intelligent capabilities into traditional systems. Their core strength remains in Python development, container orchestration, and DevOps practices.
Key Responsibilities : Develop and maintain Python-based applications and microservices. Design and deploy containerized solutions using Docker and Kubernetes. Integrate AI capabilities using frameworks like Semantic Kernel and agent-based architectures. Collaborate with cross-functional teams to operationalize AI models. Engineer solutions that blend conventional software engineering with AI-driven components. Stay current with emerging application development methods and AI technologies and evaluate their practical applications. Preferred Skills :
Strong proficiency in Python and libraries such as FastAPI, Flask, and asyncio. Experience with containerization, CI/CD pipelines, and cloud-native development. Familiarity with AI orchestration frameworks (e.g., Semantic Kernel, LangChain). Understanding of prompt engineering, vector databases, and LLM integration to applications. Knowledge of software design patterns and scalable architecture principles. Bonus Skills :
Experience with Azure services , including Azure Functions, Azure Container Apps, Azure AI Studio, and Azure DevOps. Ability to leverage Azure for deploying and scaling intelligent applications