Senior Backend Developer Java, Microservices, Gen AI
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Job Summary
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
Required Skills:
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
Required Education:
Bachelors Degree
