Senior AI Full Stack Engineer

Onebridge

$120K — $150K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years of experience in full-stack application development, especially in tech-forward environments.
  • Strong proficiency in Python for scalable applications and AI solutions.
  • Hands-on experience with Generative AI, including LLM API integrations and conversational interfaces.
  • Expertise in integrating systems within enterprise tools such as Microsoft 365 and SharePoint.
  • Solid understanding of secure application development practices including SSO and API security.

Responsibilities

  • Design, develop, and support modern full-stack applications with AI features.
  • Create and integrate Generative AI capabilities using various LLM platforms.
  • Develop workflows and tool integrations to streamline complex business tasks.
  • Securely connect enterprise applications through APIs with tools like Microsoft Graph and Jira.
  • Implement security measures for authentication and authorization in compliance with enterprise standards.
  • Collaborate with cross-functional teams to improve applications through CI/CD and modern DevOps methodologies.

Benefits

  • Opportunities for professional development and continuous learning.
  • Collaborative work environment with cross-functional teams.
  • Focus on creating impactful tools for scientific communities.
  • Access to modern technologies and frameworks for AI development.
Full Job Description
Senior AI Full Stack Engineer | About You

As a Senior AI Full Stack Engineer, you are responsible for building modern, data-driven web applications that enable scientists and researchers to interact with complex datasets intuitively and efficiently. You enjoy working across the entire stack, from designing backend services and APIs to crafting responsive, elegant frontends. You thrive in environments where you collaborate closely with UX designers, scientists, and engineering partners to turn ideas into high-impact tools. You value clean architecture, reusable components, automated testing, and strong engineering best practices. You are energized by creating user experiences that simplify scientific workflows and make large-scale data accessible and actionable.

Senior AI Full Stack Engineer | Day-to-Day
  • Design, develop, and support scalable full-stack applications and AI-powered solutions using Python and modern development technologies.
  • Build and integrate Generative AI capabilities using LLM platforms such as OpenAI, Azure OpenAI, and Anthropic, including prompt engineering and context management.
  • Develop agentic workflows, tool integrations, and function-calling capabilities to automate complex business processes and enhance user experiences.
  • Integrate enterprise applications with platforms such as Microsoft 365, SharePoint, Microsoft Graph, ServiceNow, Jira, and Confluence through secure APIs.
  • Implement secure authentication, authorization, and secrets management practices while ensuring compliance with enterprise security standards.
  • Collaborate with cross-functional teams to deliver, deploy, and continuously improve applications through CI/CD pipelines, containerization, and modern DevOps practices.

Senior AI Full Stack Engineer | Skills & Experience
  • 7+ years of experience in full-stack application development within enterprise or technology-driven environments, with strong proficiency in Python.
  • Hands-on experience building AI and Generative AI solutions, including LLM API integrations, prompt engineering, token management, and conversational AI applications.
  • Strong experience with enterprise integrations, including Microsoft 365, Microsoft Graph, SharePoint, ServiceNow, Jira, Confluence, and REST APIs.
  • Expertise in secure application development, including SSO integrations (SAML, OAuth2, OIDC), API gateways, middleware, and secrets management best practices.
  • Experience with modern DevOps and cloud-native development, including containerization, CI/CD pipelines, deployment automation, and application lifecycle management.

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