Top Skills:
AiAngularArchitectureAutomationAwsAzureCi/cdCloudCssData AnalysisDeveloper ToolDevopsDocument ProcessingEnterpriseGithubHibernateJavaJavascriptMicroservices ArchitectureNosqlPrototypeReactRestSpring BootSqlSystem DesignVue
Core Technical Skills
- Strong experience in Full Stack Development: o Frontend: React / Angular / Vue , CSS , JavaScript o Backend: Java (Spring Boot) o APIs: REST, microservices architecture
- Experience with databases (SQL & NoSQL) , Data Analysis, Hibernate
- Hands on experience with cloud platforms (Azure / AWS preferred).
- Familiarity with DevOps & CI/CD pipelines. AI & Digital Skills
- Exposure to GenAI/AI concepts, LLMs, or AI powered applications.
- Experience using AI developer tools (e.g., Copilot, AI assistants, automation tools).
- Understanding of AI integration patterns in enterprise systems.
- Prompt Engineering and AI Coding Assistants (GitHub CoPilot, Amazon Q, Google Duet, Devin, Cursor etc.) Technical Leadership & Delivery
- Lead the design, development, and delivery of full stack applications using modern frameworks and architectures.
- Provide technical guidance to full stack developers across frontend, backend, and integration layers.
- Ensure scalable, secure, and high-performance system design aligned with enterprise standards.
- Own code quality, architecture decisions, and best practices. AI & GenAI Enablement
- Identify opportunities to embed AI/GenAI use cases into business applications (e.g., recommendations, automation, insights).
- Leverage AI tools (e.g., GitHub Copilot, Azure OpenAI, LLM frameworks) to improve developer productivity and solution quality.
- Prototype and implement AI driven features such as chat interfaces, intelligent workflows, document processing, and analytics. Collaboration & Mentorship
- Mentor team members on full stack development, AI adoption, and modern engineering practices.
- Collaborate with product owners, architects, data scientists, and DevOps teams.
- Promote a continuous learning and innovation mindset within the team.
AI Enabled – Java Full Stack Lead
Infosys
linkedin
Bengaluru East, Karnataka, India
5-10 years Not Disclosed
Full time
05 May 2026
Top Skills:
AiAngularArchitectureAutomationAwsAzureCi/cdCloudCssData AnalysisDeveloper ToolDevopsDocument ProcessingEnterpriseGithubHibernateJavaJavascriptMicroservices ArchitectureNosqlPrototypeReactRestSpring BootSqlSystem DesignVue
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Job Description
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Core Technical Skills
- Strong experience in Full Stack Development: o Frontend: React / Angular / Vue , CSS , JavaScript o Backend: Java (Spring Boot) o APIs: REST, microservices architecture
- Experience with databases (SQL & NoSQL) , Data Analysis, Hibernate
- Hands on experience with cloud platforms (Azure / AWS preferred).
- Familiarity with DevOps & CI/CD pipelines. AI & Digital Skills
- Exposure to GenAI/AI concepts, LLMs, or AI powered applications.
- Experience using AI developer tools (e.g., Copilot, AI assistants, automation tools).
- Understanding of AI integration patterns in enterprise systems.
- Prompt Engineering and AI Coding Assistants (GitHub CoPilot, Amazon Q, Google Duet, Devin, Cursor etc.) Technical Leadership & Delivery
- Lead the design, development, and delivery of full stack applications using modern frameworks and architectures.
- Provide technical guidance to full stack developers across frontend, backend, and integration layers.
- Ensure scalable, secure, and high-performance system design aligned with enterprise standards.
- Own code quality, architecture decisions, and best practices. AI & GenAI Enablement
- Identify opportunities to embed AI/GenAI use cases into business applications (e.g., recommendations, automation, insights).
- Leverage AI tools (e.g., GitHub Copilot, Azure OpenAI, LLM frameworks) to improve developer productivity and solution quality.
- Prototype and implement AI driven features such as chat interfaces, intelligent workflows, document processing, and analytics. Collaboration & Mentorship
- Mentor team members on full stack development, AI adoption, and modern engineering practices.
- Collaborate with product owners, architects, data scientists, and DevOps teams.
- Promote a continuous learning and innovation mindset within the team.