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Join our team as the expert you are now and create your future.
Join Huron’s AI Tech Team as a Full Stack Engineer and help build innovative, enterprise-ready applications that bring AI solutions to life. You’ll work across both frontend and backend, developing user interfaces, APIs, and integrations that connect AI workflows with real-world systems. As part of our cross-functional delivery pods, you’ll collaborate with AI Engineers, Platform Engineers, Solution Architects, and client teams to deliver secure, scalable applications that succeed in production.
Requirements
- Design and build frontend applications using React (preferred), JavaScript/TypeScript, and optionally Angular or similar frameworks.
- Develop backend services and APIs in Python (FastAPI, Django, Flask) or Node.js, integrating with data sources and external services.
- Ensure seamless frontend–backend integration, delivering end-to-end features.
- Implement secure authentication and authorization flows (Azure AD, OAuth).
- Work with a variety of data repositories — including relational/NoSQL databases, object storage, document management systems, and message queues — ensuring efficient integration and data access.
- Write unit, integration, and end-to-end tests; contribute to automation of regression testing for applications.
- Collaborate with AI Engineers to embed AI workflows into applications.
- Deploy and troubleshoot applications in Azure or AWS environments.
- Apply DevOps best practices (version control, CI/CD pipelines, containerization).
- Document components, APIs, and workflows for reusability and support handoff.
- Participate in client discussions to understand requirements and present technical solutions.
- 3+ years of professional experience in full stack software development.
- Strong proficiency in React and JavaScript/TypeScript (Angular or Vue a plus).
- Proficiency in Python for backend API development (Node.js experience also valued).
- Experience integrating with diverse data repositories (databases, object storage, document systems, or message queues).
- Familiarity with Azure and AWS services for application deployment and integration.
- Understanding of CI/CD and DevOps principles; experience with version control and pipelines.
- Knowledge of containerization (Docker) and basic orchestration (Kubernetes or equivalent).
- Familiarity with automated testing frameworks (e.g., PyTest, Cypress, Selenium) is a plus.
- Awareness of application security practices (OWASP, secrets management, penetration testing) is a plus.
- Strong communication skills and ability to work in cross-functional consulting teams.
- Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
Associate
Country
India
Key Skills
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