Senior Full Stack Developer - AI-Assisted | Remote | 3-6 Yrs

Working Timing (6:30 pm - 2:30 am) Work mode: Remote Experience Required: 3-6 Years Salary Package: 12- 24 LPA We are looking for a Full Stack Developer to build and deploy applications end to end, using AI coding tools as a core part of the daily workflow rather than an occasional aid. The role covers hands-on development, deployment automation, and defining the specifications and standards that keep AI-assisted work consistent and reliable across projects. The ideal candidate is someone who already builds software faster and better by working closely with AI tools, and who can help set the standards and templates other engineers on the team follow. Key Responsibilities Design the Practice Define specification formats, API contract standards, and project templates used as the starting point for new builds. Establish coding standards, engineering-context files, and AI-usage guidelines that keep AI-assisted output consistent and safe across projects. Determine where AI tools are used in the workflow (implementation, testing, documentation, review) and where manual review is required. Build the Reference Implementation Design and build full-stack applications end to end, applying established specifications, standards, and pipeline as the reference implementation. Design and maintain CI/CD pipelines and release strategy as a reusable capability across projects, not a one-off setup per project. Deploy applications to cloud and containerised environments and monitor performance after release. Roll Out & Support Adoption Onboard other engineers and teams onto established workflows, including walkthroughs and support during initial adoption. Review code from teams following the practice, including AI-generated code, applying consistent quality standards. Incorporate delivery outcomes and feedback from adopting teams to refine templates, guidelines, and pipelines on an ongoing basis. Full-Stack Development 36 years of hands-on experience building and shipping full-stack applications in production. Strong hands-on experience with React.js or Angular on the frontend, and Node.js and/or Python on the backend. Experience owning CI/CD pipelines and deployment automation, including working knowledge of Docker and at least one major cloud provider (AWS, Azure, or GCP). Solid Git workflow discipline and experience working from written specifications rather than verbal requirements. Working knowledge of relational databases (MySQL/PostgreSQL) and familiarity with NoSQL databases. Understanding of authentication mechanisms such as JWT and OAuth. AI Tools & Usage Hands-on, daily experience using AI coding assistants such as GitHub Copilot, Cursor, Claude Code, ChatGPT, or similar tools for writing, reviewing, and debugging code. Working knowledge of more than one AI tool or model, and the judgment to choose the right one for a given task rather than defaulting to a single tool. Practical experience using AI tools beyond code generation - for testing, documentation, code review, and troubleshooting. Ability to write clear, effective prompts and instructions to get accurate, usable output from AI tools, and to catch and correct AI mistakes. A genuine, active interest in keeping up with new AI tools, models, and techniques as they evolve. Communication Strong written and spoken communication skills in English Strong interpretation skills: the ability to read a specification, ticket, or instruction carefully and understand exactly what is being asked, asking clarifying questions when something is unclear. Ability to clearly explain technical decisions and AI-assisted work to both technical and non-technical stakeholders. Preferred Skills Experience designing or documenting an engineering workflow, standard, or template adopted by other engineers or teams. Experience with TypeScript across frontend and backend. Exposure to Kubernetes or other container orchestration beyond basic Docker usage. Experience with GraphQL, WebSockets, serverless, or event-driven architectures. Familiarity with observability tooling such as Sentry, Prometheus, or Grafana. Experience mentoring developers within Agile teams. Educational Qualification Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent hands-on experience.