Full Stack Engineer

Overview

Senior full-stack engineer and architect who improves how teams plan, build, test, review, deploy, monitor, and support software using AI, helping move the organization from implemented AI toward future-ready, repeatable, measured AI engineering practices. This is a hands-on delivery role.

What you'll do

• Act as an SME, collaborate with and manage the team, and make team decisions.
• Engage with multiple teams and contribute to key decisions.
• Provide solutions to problems for the immediate team and across multiple teams.
• Lead the integration of cross-functional team efforts to ensure seamless delivery of project objectives.
• Mentor junior team members to foster skill development and knowledge sharing.
• Coordinate with stakeholders to align technical solutions with business goals.
• Use AI to improve requirements analysis, coding, code review, test generation, regression testing, defect triage, documentation, release readiness, or production support.
• Design AI-enabled workflows with clear data flows, secure APIs, permissions, integration boundaries, scalability, failure handling, and support ownership.
• Establish practical standards, approved tools, reusable instructions, testing expectations, review checklists, training, and outcome measures so developers and QA teams adopt safe, repeatable AI practices.

What you'll need

• Minimum 7.5 years of experience in AI Agents & Workflow Integration.
• 15 years full time education.
• Proficiency in AI Agents & Workflow Integration.
• Strong hands-on experience with TypeScript, JavaScript, React, Next.js, Node.js, Python, APIs, databases, cloud services, and modern web application architecture.
• Evidence of using AI across the SDLC to improve requirements analysis, coding, code review, test generation, regression testing, defect triage, documentation, release readiness, or production support.
• Ability to design AI-enabled workflows with clear data flows, secure APIs, permissions, integration boundaries, scalability, failure handling, and support ownership.
• Experience with AI evaluation and testing, output validation, human approval for important actions, access controls, logging, monitoring, incident response, rollback, and production support.
• Ability to establish team-wide AI practices, standards, and outcome measures.
• Strong knowledge of full stack development principles including front-end and back-end technologies.
• Experience in designing scalable and maintainable software architectures.
• Ability to work with cloud platforms and implement cloud-native solutions.
• Familiarity with agile development methodologies and continuous integration/continuous deployment pipelines.

Nice to have

• Experience with React Native.
• Automation in Application Development.
• Microsoft Front End Development (FED) NextJS.

Details

• Based at the Pune office.