Senior Backend Developer Java, Microservices, Gen AI

Top 3 Required Skills:

Java

Spring Boot

Microservices

Angular

AI

Role Description:

Design develop and maintain high-performance backend services using Java (17) Spring Boot and Microservices architecture

Build and expose RESTful and event-driven APIs supporting enterprise-scale applications

Integrate Generative AI / LLM capabilities (e.g. text generation summarization Q&A classification) into backend workflows

Design test and optimize prompts and prompt orchestration strategies to ensure accuracy determinism and performance

Develop AI-aware backend components including:

Prompt templates and prompt pipelines

Retrieval-Augmented Generation (RAG) services

AI inference orchestration layers

Implement secure API integrations with AI platforms and internal data sources ensuring compliance with enterprise security standards

Apply prompt versioning evaluation and monitoring techniques to improve AI output quality over time

Ensure non-functional requirements including scalability resiliency performance and observability

Contribute to CI/CD pipelines containerization and cloud-native deployments

Participate in code reviews architecture discussions and technical design decisions

Support production systems and troubleshoot complex backend or AI integration issues

Required Technical Skills:

Core Backend Engineering

5 years of hands-on experience in Java backend development

Expertise in Java 11/17 Spring Boot Spring MVC Spring Security

Experience in Microservices REST APIs and API design (OpenAPI/Swagger)

Experience with containers and cloud platforms (Docker Kubernetes OpenShift Azure/AWS)

Strong knowledge of SQL and NoSQL databases (DB2 PostgreSQL MongoDB)

Experience in CI/CD DevOps practices and automated testing

AI & Prompt Engineering:

Hands-on experience integrating Large Language Models (LLMs) into backend systems

Strong understanding of prompt engineering techniques including:

Zero-shot few-shot chain-of-thought prompting

Prompt templates and dynamic prompt generation

Guardrails validation and hallucination reduction

Experience building RAG-based solutions using vector stores and embeddings

Familiarity with AI orchestration frameworks or SDKs (enterprise or open-source)

Ability to evaluate prompt and model responses for quality bias and consistency

Security & Compliance:

Experience implementing OAuth 2.0 JWT SSL/TLS and secure API patterns

Awareness of data privacy PII handling and AI governance in regulated BFSI environments