Full Stack Software Engineer – Java + AI

Full Stack Software Engineer – Java + AI

Experience: 8+ Years

Location: [Bangalore]

Work Mode: [Hybrid]

About the Role

We are looking for an experienced Full Stack Software Engineer to join an AI-first engineering team building a scalable enterprise platform for a major professional services client. The platform uses AI for data verification, enrichment, and disambiguation and is designed to handle 100K+ records with 30+ concurrent users.

The role involves end-to-end ownership across architecture, Java backend, React frontend, cloud, DevOps, security, and AI/GenAI.

Key Responsibilities

• Design and develop scalable production-grade architectures and communicate HLD/LLD decisions.
• Develop backend services using Java, Spring Boot, Microservices, and REST APIs.
• Build production-grade frontend applications using React.js or similar frameworks.
• Design and optimize databases, preferably PostgreSQL, including queries, caching, and performance.
• Implement asynchronous/distributed processing using Kafka, Redis, or similar technologies.
• Integrate AI/LLM and Generative AI capabilities into enterprise applications.
• Deploy and manage applications on AWS/Azure using Docker, Kubernetes, and CI/CD.
• Implement authentication, RBAC, encryption, security controls, and audit logging.
• Design systems for scalability, reliability, high availability, and real-time processing.
• Use AI-assisted development tools such as Cursor, Claude, GitHub Copilot, or similar in daily development.

Required Skills

• 8+ years of total IT experience, with 4+ years in Full Stack Software Engineering.
• Strong hands-on experience in Java, Spring Boot, Microservices, and REST APIs.
• Strong experience with React.js or modern frontend frameworks.
• Experience with PostgreSQL or equivalent databases.
• Experience with AWS or Azure.
• Experience with Kafka, Redis, or similar asynchronous/distributed technologies.
• Strong knowledge of Docker, Kubernetes, CI/CD, and cloud deployments.
• Experience designing production-scale architectures.
• Strong understanding of application and cloud security.
• Hands-on exposure to AI/GenAI/LLM technologies and AI-assisted development.

AI / GenAI – Preferred

• OpenAI / Azure OpenAI
• Anthropic / Claude
• Google Gemini
• RAG
• AI Agents / Agentic AI
• LLM API integrations
• Cursor / Claude / GitHub Copilot

Nice to Have

• Informatica MDM or similar MDM platforms.
• Enterprise application/platform development experience.
• Kafka, Flink, Redis, or other distributed processing technologies.
• Grafana, Prometheus, or other observability tools.

Ideal Candidate: A hands-on engineer who can own the solution end-to-end, combining Java Full Stack, cloud architecture, distributed systems, and modern AI/GenAI capabilities.