Lead the technical delivery of enterprise AI automation solutions that improve business efficiency and reduce operational costs. The role involves designing and implementing Generative AI, Agentic AI, and LLM-based solutions, defining AI architecture, establishing reusable AI components, ensuring AI governance and security, and collaborating with cross-functional teams to deliver scalable, secure, and business-driven AI capabilities within a product operating model.
Responsibilities
Lead the design, architecture, and implementation of enterprise AI automation solutions.
Develop and deploy Generative AI, LLM, RAG, and Agentic AI applications.
Define AI architecture, reusable frameworks, and engineering best practices.
Collaborate with Product Managers, Engineering, Security, Architecture, and Business stakeholders.
Evaluate AI models for performance, cost, quality, and scalability.
Implement AI governance, security, compliance, and monitoring frameworks.
Design AI orchestration using LangChain, Semantic Kernel, CrewAI, AutoGen, or similar frameworks.
Integrate AI solutions with enterprise systems using APIs, cloud services, and automation platforms.
Mentor developers and provide technical leadership throughout the delivery lifecycle.
Optimize AI solutions for business value, operational efficiency, and long-term maintainability
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
About the Role
We are looking for a talented Java Backend Developer with Generative AI experience to build scalable backend services and AI-powered enterprise applications. The ideal candidate should have strong expertise in Java, Spring Boot, Microservices, REST APIs, and cloud technologies, along with hands-on experience integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI frameworks into modern applications.
Key Responsibilities
Design, develop, and maintain scalable backend applications using Java and Spring Boot.
Develop RESTful APIs and Microservices following industry best practices.
Build and integrate AI-powered capabilities such as intelligent search, chatbots, document Q&A, and workflow automation.
Develop RAG-based applications using vector databases and embedding models.
Integrate LLM services such as OpenAI, Azure OpenAI, Amazon Bedrock, or Anthropic Claude.
Collaborate with cross-functional teams to deliver secure, high-performance, and scalable solutions.
Write clean, maintainable code with unit and integration tests.
Participate in code reviews, architecture discussions, and Agile ceremonies.
Mandatory Skills
Java 17/21
Spring Boot, Spring Data JPA, Hibernate
Microservices & REST APIs
SQL (PostgreSQL/MySQL)
Apache Kafka (preferred)
Generative AI, Large Language Models (LLMs)
Spring AI / LangChain / LangChain4j
Retrieval-Augmented Generation (RAG)
Vector Databases (pgvector, Pinecone, FAISS, ChromaDB, Milvus or Weaviate)
Prompt Engineering & Embeddings
Docker & Kubernetes
AWS / Azure / GCP
Git and CI/CD (GitHub Actions/Jenkins)
Good to Have
Redis
Elasticsearch/OpenSearch
OpenTelemetry, Prometheus, Grafana
React.js or Angular exposure
Banking, Healthcare, Insurance, or FinTech domain experience
Required Qualifications
Bachelor's degree in Computer Science or a related field.
4–8 years of experience in Java backend development.
Hands-on experience building Microservices and cloud-native applications.
Practical exposure to integrating Generative AI into enterprise applications.
Strong analytical, debugging, and problem-solving skills.
Responsibilities
About the Role
We are looking for a talented Java Backend Developer with Generative AI experience to build scalable backend services and AI-powered enterprise applications. The ideal candidate should have strong expertise in Java, Spring Boot, Microservices, REST APIs, and cloud technologies, along with hands-on experience integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI frameworks into modern applications.
Key Responsibilities
Design, develop, and maintain scalable backend applications using Java and Spring Boot.
Develop RESTful APIs and Microservices following industry best practices.
Build and integrate AI-powered capabilities such as intelligent search, chatbots, document Q&A, and workflow automation.
Develop RAG-based applications using vector databases and embedding models.
Integrate LLM services such as OpenAI, Azure OpenAI, Amazon Bedrock, or Anthropic Claude.
Collaborate with cross-functional teams to deliver secure, high-performance, and scalable solutions.
Write clean, maintainable code with unit and integration tests.
Participate in code reviews, architecture discussions, and Agile ceremonies.
Mandatory Skills
Java 17/21
Spring Boot, Spring Data JPA, Hibernate
Microservices & REST APIs
SQL (PostgreSQL/MySQL)
Apache Kafka (preferred)
Generative AI, Large Language Models (LLMs)
Spring AI / LangChain / LangChain4j
Retrieval-Augmented Generation (RAG)
Vector Databases (pgvector, Pinecone, FAISS, ChromaDB, Milvus or Weaviate)
Prompt Engineering & Embeddings
Docker & Kubernetes
AWS / Azure / GCP
Git and CI/CD (GitHub Actions/Jenkins)
Good to Have
Redis
Elasticsearch/OpenSearch
OpenTelemetry, Prometheus, Grafana
React.js or Angular exposure
Banking, Healthcare, Insurance, or FinTech domain experience
Required Qualifications
Bachelor's degree in Computer Science or a related field.
4–8 years of experience in Java backend development.
Hands-on experience building Microservices and cloud-native applications.
Practical exposure to integrating Generative AI into enterprise applications.
Strong analytical, debugging, and problem-solving skills.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
