Full-Stack Developer

Summary

Join Human Edge, a company embracing an agile mindset and passionate about innovation, as a Full-Stack Developer. This role involves developing and maintaining scalable frontend and backend applications using React, TypeScript, Python, and FastAPI. You will collaborate with a small team, making technical decisions and implementing cloud-based solutions on Azure. The ideal candidate possesses 5+ years of software engineering experience with a strong full-stack background and expertise in React and Python. Experience with cloud platforms and a startup environment is highly valued. Human Edge prioritizes commitment, accountability, excellence, results, and teamwork.

Requirements

• 5+ years of experience as a software engineer, with a strong full-stack background and a focus on frontend development with hands-on experience with Docker and containerized deployments, Implementing CI/CD pipelines
• Frontend expertise: At least 3+ years as a dedicated frontend engineer or 4+ years as a full-stack developer working extensively with React and TypeScript
• Backend proficiency: Strong Python coding skills with hands-on experience in FastAPI, Docker, and PostgreSQL. Experience with Django or Flask is a plus
• Cloud experience: Comfortable working with cloud platforms (Azure preferred, but AWS/GCP is also acceptable)
• Startup experience: Prior experience in a small, fast-moving team and an understanding of trade-offs in scalable product development with limited resources
• Adaptability & problem-solving: Ability to thrive in an evolving environment, tackle new challenges, and pivot when needed
• Excellent communication skills in English

Responsibilities

• Develop and maintain scalable frontend applications using React and TypeScript
• Build and optimize backend services with Python and FastAPI, leveraging Docker and PostgreSQL
• Collaborate closely with the UI/UX team to create seamless and intuitive frontend components
• Collaborate in the Design and implementation of cloud-based solutions (Azure preferred, but AWS/GCP experience is also valuable)
• Work alongside a small team of engineers, making technical decisions and driving best practices

Preferred Qualifications

• Familiarity with LangChain or other LLM orchestration frameworks
• Experience with Vector Databases (e.g., Qdrant, Pinecone, ChromaDB) for LLM-enhanced search
• Exposure to serverless architectures and event-driven design and progressive web apps (PWA)
• Hands-on experience with deploying, managing, and monitoring applications on Azure and Familiarity with Azure DevOps for version control, build automation, and release management
• Experience with or interest in integrating Artificial Intelligence and Machine Learning models, particularly using tools and models from OpenAI and hugging face
• Handling authentication with OAuth, JWT, or Azure AD