AI Full Stack Developer

Job Requirements
Role and Responsibility Brief
We are looking for a highly motivated Full Stack Developer to join the engineering team.
The engineer will be responsible for designing, developing, and maintaining scalable web
applications, microservices, APIs, and cloud-native solutions that power device management, analytics, workflow automation, and digital employee experience capabilities.
The ideal candidate should possess strong expertise in modern front-end frameworks, backend service development, API-first architecture, cloud platforms, DevOps, Agile delivery practices and must have an AI first mindset.
Work Experience
Years of Experience: 9-12 years
Must Have Skill
Front-End Development
Design and develop responsive, enterprise-grade web applications. Proficient in JavaScript, ES6 (to be validated by one program on pure JavaScript without use of any inbuilt function). Write high-quality reusable code to develop the dynamic user interface. Extensive experience and expertise with modern frontend technologies and frameworks,
primarily React.
Integrate UI applications with RESTful APIs and backend services. Collaborate with UX teams to deliver intuitive user experiences. Implement role-based access control, feature toggles, and localization capabilities.
Backend Development
Design and develop scalable microservices and APIs. Solid understanding of full stack agile SDLC with Spring Framework, REST/HTTP based Microservices and design patterns as discovery, circuit breaker, etc. Extensive Core Java/J2EE experience with Collections, Data Structures, Multi-threaded
programming, JAX-RS, Hibernate, JPA experience
Strong relational database skills in Oracle and/or SQL Server, MongoDB and Amazon Redshift Strong experience in SOAP / REST based webservices, Web Frameworks with XML and
JSON parsing and handling
Cloud based development experience with exposure to Cloud Infrastructure and
technologies such as AWS S3, SNS, SQS, Lambda, AWS RDS, DynamoDB et. al.
Spring Boot
Cloud & DevOps Design cloud-native solutions on Azure/AWS. Build and maintain CI/CD pipelines. Implement infrastructure-as-code and automated deployments. Monitor application health, performance, and production stability. Collaborate with SRE and platform teams on observability and operational excellence.
AI first mindset
Experience in building test Harness using AI tools such as github copilot, Claude Code, Codex , cursor etc. Understanding of RAG and knowledge bases Creating Evaluation frameworks for GenAI LLM based applications. Understanding of Evaluation frameworks like RAGAS and Deep evals Exposure and experience with AWS Bedrock and how to connect LLM from bedrock to AI Agents Experience with programming languages like, python, Java, Javascript Experience with tools like Playwright, Rest Assured, K6, Selenium, etc Atleast 4+ years experience in writing code and building frameworks. Proven experience with 1.5+ yrs experience building Harness using AI tools.

Work arrangement
No