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: 6-8 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 · 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 · 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 · 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.