•2–4 years of hands-on Full Stack Web Development experience.
•Strong expertise in at least one stack: - MERN: MongoDB, Express.js, React.js, Node.js, OR
•Python: Django / FastAPI / Flask with React.js
•Strong React.js skills: components, hooks, state management, reusable UI development.
•Hands-on experience with TypeScript and Next.js (or another modern React framework).
•Good understanding of MongoDB and PostgreSQL , plus working experience with Redis .
•Experience developing and integrating RESTful APIs.
•Exposure to AI/LLM integrations or AI-powered applications.
•Working knowledge of Docker and CI/CD practices.
•Experience with at least one cloud platform: AWS, Azure, or GCP .
•Experience writing unit and integration tests .
•Experience working in Agile/Scrum teams.
•Experience conducting code reviews and mentoring junior developers.
•Good understanding of Git and collaborative development workflows.
•Strong debugging, problem-solving, and analytical skills.
•Ability to own tasks independently and deliver on time.
•Strong communication skills and ability to work with technical and cross-functional teams.
Good to Have
•Experience building MVPs, POCs, or demos to support product launches or client pitches.
•Experience implementing product analytics or event tracking (GA4, Mixpanel, PostHog) to measure feature adoption.
•Experience building go-to-market features such as user onboarding flows or payment/subscription integrations (Stripe, Razorpay).
What You'll Gain?
•End-to-end ownership of features across Frontend, Backend, API, and Database.
•Work on modern products and real-world engineering challenges.
•Exposure to AI, GenAI, and AI-powered applications in an AI-first environment.
•A voice in technical decisions, architecture discussions, and development practices.
•Close collaboration with developers, QA, product, and technical leadership.
•Opportunities to mentor engineers while growing your own expertise.
Why Join Codewinglet?
•Modern products and technologies in an AI-first engineering environment.
•Real-time AI projects, including AI Agents and GenAI systems.
•High-growth, fast-paced learning environment.
•Exposure to the latest technologies and live projects.
•Supportive and transparent leadership.
•Clear career growth and performance-based appraisals.
•Competitive, industry-aligned salary.
•Stable team culture with regular engagement activities.
•Flexible working hours and 5-day work week.
•On-time salary disbursement.