Full Stack Developer
About The Position
As a Full Stack Developer, you will be responsible for the end-to-end development of our AI-driven applications, from the user interface to the back-end services. Your expertise in Python, React, and the Google Cloud Platform will be essential in building robust, scalable, and user-friendly applications that power our AI transformation initiatives. Along the way, you will get to: Front-End Development: Design, develop, and maintain responsive, user-friendly interfaces using React. You'll ensure a seamless and intuitive user experience. Back-End Development: Build and integrate server-side logic and APIs using NodeJs and Python libraries. You will be responsible for the core business logic and data processing that powers our applications. Cloud Application Development: Leverage Google Cloud Platform developer tools and services to deploy and manage applications. This includes working with services for authentication, data storage, and serverless functions. AI/ML Development: Build LLM-powered applications, including prompt engineering and agentic AI design patterns. Collaboration: Work closely with product designers, data scientists, and other engineers to translate business requirements into technical solutions and deliver high-quality products. Maintenance & Optimization: Troubleshoot, debug, and upgrade existing applications to ensure they are performant, secure, and reliable. Be AmbITious: This opportunity is not just about what you do today but also about where you can go tomorrow. When you bring your hunger, heart, and harmony to Insight, your potential will be met with continuous opportunities to upskill, earn promotions, and elevate your career.
Requirements
- A minimum of 5 years of experience as a full stack developer with a proven track record of delivering large-scale, complex web applications.
- Python: Expert-level, with extensive experience in asynchronous programming.
- FastAPI & Pydantic: Proven ability to build and deploy high-performance, data-validated APIs.
- Google Cloud Platform (GCP): Hands-on experience with Vertex AI (Gemini), Firestore, BigQuery, and Cloud Storage.
- Experience building applications with Large Language Models (LLMs), including prompt engineering.
- Proficiency in containerizing applications and experience working in a microservices architecture.
- Strong skills in API design, testing (pytest, unittest), and CI/CD practices.
- Excellent problem-solving and debugging skills with a proactive approach to identifying and resolving technical challenges.
- Strong communication skills with the ability to articulate technical concepts and collaborate effectively within an agile team environment.
Nice To Haves
- Familiarity with agent-based systems (Google ADK, A2A SDK) is a major plus.
Responsibilities
- Design, develop, and maintain responsive, user-friendly interfaces using React.
- Build and integrate server-side logic and APIs using NodeJs and Python libraries.
- Leverage Google Cloud Platform developer tools and services to deploy and manage applications.
- Build LLM-powered applications, including prompt engineering and agentic AI design patterns.
- Work closely with product designers, data scientists, and other engineers to translate business requirements into technical solutions and deliver high-quality products.
- Troubleshoot, debug, and upgrade existing applications to ensure they are performant, secure, and reliable.
Benefits
- Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
