Staff AI Application Engineer

Staff AI Application Engineer OpenGov is the leader in AI and ERP solutions for local and state governments in the U.S. More than 2,000 cities, counties, state agencies, school districts, and special districts rely on the OpenGov Public Service Platform to operate efficiently, adapt to change, and strengthen the public trust. Category-leading products include enterprise asset management, procurement and contract management, accounting and budgeting, billing and revenue management, permitting and licensing, and transparency and open data. These solutions come together in the OpenGov ERP, allowing public sector organizations to focus on priorities and deliver maximum ROI with every dollar and decision in sync. Learn about OpenGov’s mission to power more effective and accountable government and the vision of high-performance government for every community at OpenGov.com http://OpenGov.com. Job Summary OpenGov is seeking a highly execution-oriented AI Application Engineer to design, build, and deploy internal AI-powered applications that improve how our teams operate. You will be among the first members of our Pune AI engineering team, with significant ownership and influence over how we build and scale AI systems globally. This role focuses on developing intuitive front-end interfaces, building robust backend APIs, and productionizing AI workflows using Snowflake Snowpark Container Services (SPCS). You will work closely with AI, Data, and Enterprise Systems teams to transform in-house AI capabilities into usable, scalable applications. From internal web and Slack apps to production-grade AI-first copilots and AI-native interfaces, you will be responsible for shipping end-to-end solutions that are secure, observable, and maintainable. This is a hands-on engineering role requiring strong full-stack fundamentals, disciplined deployment practices, and experience operationalizing applications within a Snowflake-centric environment. We are looking for a builder who can move quickly from data product to UI mock up to deployed solution, while maintaining production-grade standards. Core Responsibilities - Design, architect, and develop internal AI-powered applications using modern frontend frameworks such as React or lightweight frameworks such as Streamlit. - Utilize AI coding best practices to build and maintain backend services and APIs (FastAPI, Flask, Node.js, or similar) to support AI-driven workflows and integrations. - Containerize applications and deploy them using Snowflake Snowpark Container Services (SPCS). - Establish automated testing workflows and release processes for internal, fast-paced tools. - Deploy and manage multi-component applications, including operational data stores, APIs, orchestration services, and frontend clients. - Implement authentication, authorization, and secure access patterns across internal tools. - Integrate AI workflows into enterprise platforms such as Slack, Salesforce, and other SaaS systems. - Partner with AI Platform engineers to expose RAG pipelines, agent workflows, and data services through scalable APIs and interfaces. - Implement logging, monitoring, and observability best practices across deployed applications. - Optimize application performance, Latency, and deployment reliability. - Support rapid prototyping of internal tools while ensuring smooth transition from prototype to production. Required Experience - Bachelor’s degree in Computer Science, Engineering, or a related field. - 7–10 years of experience in software engineering or full-stack development roles. - Strong hands-on experience with frontend development using React or similar modern frameworks. - Experience building backend APIs using Python (FastAPI/Flask). - Strong understanding of Git workflows, version control, and release management best practices. - Experience building and deploying multi-service applications in cloud environments. - Understanding of secure authentication, secrets managem ... (truncated, view full listing at source)