Associate Full-Stack Developer - onshore

Role Summary Interested in learning more about this job Scroll down and find out what skills, experience and educational qualifications are needed. We are seeking Associate Full-Stack Developers to own product engineering across the complete Software Development Life Cycle (SDLC). The successful candidates will design, build, test, deploy, and operate full-stack features end-to-end — Python on the back end, React.js on the front end — leveraging AI-assisted coding tools and modern Generative AI development workflows (commonly referred to as "vibe coding") to accelerate delivery. This is a hands-on role for early-career developers who want to ship production code across the full stack, own quality and deployment, work with cutting-edge AI tooling, and contribute to enterprise software products from day one. Key Responsibilities • Own full-stack product features across the complete SDLC: requirements analysis, design, development, testing, deployment, monitoring, and post-release support. • Develop, test, and maintain production-quality Python code for back-end services, APIs, and integrations. • Build responsive, accessible, and performant user interfaces using React.js, modern JavaScript/TypeScript, and contemporary front-end tooling. • Use AI-assisted coding tools and Generative AI workflows to accelerate development, prototyping, and debugging — what is commonly called "vibe coding."• Build prototypes and proofs-of-concept rapidly across both front-end and back-end layers to validate product hypotheses and external integrations. • Integrate with external APIs, SDKs, and Large Language Model platforms. • Write and maintain comprehensive test coverage: unit tests, integration tests, end-to-end tests, and contribute to test automation strategy. • Own deployment of features through CI/CD pipelines: build automation, environment promotion, release management, and post-deployment validation. • Monitor production systems, contribute to observability and alerting, diagnose and resolve incidents, and participate in post-mortems. • Participate in code reviews, technical design discussions, and architecture decisions across both back-end and front-end concerns. • Maintain clear technical documentation, API references, and developer-facing materials. • Collaborate with product managers, designers, QA, and DevOps engineers across the full delivery cycle. Required Qualifications • 0–3 years of professional full-stack development experience. Recent graduates with strong full-stack project portfolios are encouraged to apply. • Bachelor's degree in Computer Science, Software Engineering, or a related technical field. • Strong proficiency in Python, including familiarity with common back-end frameworks (FastAPI, Flask, or Django) and libraries (Pandas, NumPy, requests, async/await patterns). • Strong proficiency in React.js, including familiarity with modern JavaScript/TypeScript, hooks, state management, and component-based architecture. • Working knowledge of HTML5, CSS3, responsive design, and modern front-end build tooling (Vite, Webpack, or equivalent). • Demonstrated ability to work across the complete SDLC: requirements, design, code, test, deploy, support. • Hands-on experience using AI-assisted coding tools to accelerate development workflows. • Proven experience writing automated tests: unit tests (pytest, Jest, or equivalent), integration tests, and component tests for front-end. • Experience with deployment workflows: CI/CD pipelines (GitHub Actions, Jenkins, or equivalent), build automation, and release management. • Working knowledge of REST APIs, JSON, authentication patterns, and common integration approaches. • Solid foundation in Git, version control workflows, code reviews, and modern engineering tooling. • Strong analytical, debugging, and problem-solving skills across both back-end and front-end layers. • Excellent written and verbal communication skills, with the ability to articulate technical decisions and trade-offs clearly. Preferred Qualifications • Hands-on experience integrating with Large Language Model APIs from any major provider. • Experience with prompt engineering, Retrieval-Augmented Generation (RAG), agentic workflows, or LLM-powered application patterns. • Familiarity with Next.js, server-side rendering, or static-site generation. • Experience with end-to-end testing frameworks (Playwright, Cypress, or equivalent). • Familiarity with major cloud platforms, containerization (Docker), and Kubernetes. • Experience with Infrastructure-as-Code (Terraform, CloudFormation), observability tools (Datadog, Prometheus, Grafana, or equivalent), and production monitoring. • Familiarity with vector databases, embeddings, or AI/ML toolchains. • Contributions to open-source projects, technical blog posts, hackathon participation, or a public GitHub portfolio. • Internship or project experience in product engineering, developer tools, or enterprise SaaS platforms. xhyhwjd • Exposure to design systems, accessibility (WCAG) standards, or component library development.