Full Stack Developer

3 weeks ago

Pune, Maharashtra, India True Talents Full time

Job Title : Full-Stack Developer (AI-Augmented)

Location : Bangalore / Pune (Hybrid / Onsite)

Experience : 46 Years

Employment Type : Full-time

Notice Period : Immediate to 15 the Role :

We are seeking a highly skilled Full-Stack Developer (AI-Augmented) who can build scalable, modern web applications leveraging JavaScript, React/Next.js, Node.js, APIs, and databases. The ideal candidate should also be comfortable using AI-assisted coding tools to accelerate development and improve efficiency. You will work closely with product, design, and AI engineering teams to deliver end-to-end Responsibilities : - Design, develop, and maintain full-stack applications using React/Next.js (frontend) and Node.js (backend).

- Integrate APIs, microservices, and third-party services into applications.

- Develop and optimize database schemas and queries (SQL/NoSQL).

- Utilize AI-assisted coding tools (e.g., GitHub Copilot, ChatGPT, Tabnine) to accelerate development workflows and enhance code quality.

- Implement best practices for scalable architecture, performance, and security.

- Collaborate with cross-functional teams (product managers, AI engineers, designers) to translate requirements into technical solutions.

- Write clean, maintainable, and testable code following modern development standards.

- Participate in code reviews, debugging, and performance tuning.

- Stay updated with emerging AI/ML advancements and suggest how they can be leveraged in development workflows.

- Contribute to DevOps pipelines (CI/CD, version control, Skills & Qualifications :

- 46 years of proven experience as a Full-Stack Developer.

- Strong proficiency in JavaScript, React.js/Next.js, Node.js, and REST/GraphQL APIs.

- Experience with databases (MySQL, PostgreSQL, MongoDB, or similar).

- Hands-on exposure to AI-assisted coding tools.

- Understanding of DevOps practices (GitHub Actions, Docker, Kubernetes preferred).

- Solid grasp of software architecture, design patterns, and performance optimization.

- Good communication, problem-solving, and collaboration to Have (Preferred Skills) :

- Exposure to AI/ML integration into applications.

- Experience with serverless architectures (AWS Lambda, Firebase, etc.).

- Familiarity with cloud platforms (AWS, Azure, GCP).

- Knowledge of testing frameworks (Jest, Cypress, Mocha).

(ref:hirist.tech)

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