Full Stack Engineer

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• 2+ years of professional full-stack software development experience \n

• 2+ years of professional experience developing applications with Python or React (experience with both strongly preferred) \n

• Experience building and maintaining RESTful APIs \n

• Experience designing relational databases and writing complex SQL queries \n

• Experience developing cloud-hosted applications on Azure, AWS, or Google Cloud \n

• Experience building data processing, ETL, or data integration pipelines \n

• Experience working with Git and modern software development workflows \n

• Strong analytical skills with experience analyzing complex datasets using SQL, Python, or statistical analysis techniques \n

• Experience working in Agile/Scrum software development teams \n

• Excellent written and verbal communication skills \n, * Experience developing secure applications using OAuth, OpenID Connect, or SAML \n

• Experience integrating third-party APIs \n

• Experience with automated testing frameworks \n

• Experience working in a startup or fast-paced product development environment \n

• Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent professional experience) \n

We are seeking a Full Stack Software Developer who enjoys building modern cloud-native applications and wants to work on cutting-edge AI-powered software.

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You’ll build scalable backend services, intuitive React applications, data-driven solutions, and AI-enabled features while collaborating closely with architects, product owners, and engineers.

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This role is ideal for developers who thrive in a fast-paced environment, enjoy solving challenging technical problems, and want to leverage modern AI development tools to build production software.

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What You’ll Do

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• Design, develop, and maintain modern full-stack web applications \n

• Build scalable REST APIs using Python (FastAPI preferred) \n

• Develop responsive React applications using modern frontend practices \n

• Design relational database schemas and write efficient SQL queries \n

• Build and optimize ETL pipelines and data processing workflows \n

• Analyze structured and semi-structured datasets to identify trends and drive application functionality \n

• Develop cloud-native applications deployed on Microsoft Azure \n

• Integrate Generative AI capabilities including Retrieval-Augmented Generation (RAG), LLMs, and AI agents into production applications \n

• Collaborate with architects, product managers, designers, and fellow engineers throughout the software development lifecycle \n

• Troubleshoot production issues, optimize performance, and improve application reliability \n

• Participate in code reviews and contribute to engineering best practices \n

• Use modern AI-assisted development tools such as Claude Code, GitHub Copilot, or similar platforms to improve engineering productivity \n

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