We are seeking an agile and highly skilled Senior Java Backend & Generative AI Engineer to join our rapidly evolving AI Platform team. This position is tailored for a strong backend engineer who has successfully transitioned into or heavily adapted their core skill set to build production-grade Generative AI pipelines and application logic.

You will own the development of secure, highly scalable microservices while orchestrating enterprise LLM connections. You will bridge the gap between robust, enterprise-grade Java backends and contemporary, intelligent AI workflows.

Key Responsibilities

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AI Backend Engineering: Design, develop, and implement scalable, fault-tolerant backend microservices and RESTful APIs using Java (11/17+) and the Spring Boot framework.

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GenAI Application Delivery: Lead the integration of Large Language Models (LLMs) into existing commercial software ecosystems, executing structural prompt engineering and tool-calling flows.

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RAG & Search Layer Optimization: Build and maintain high-efficiency Retrieval-Augmented Generation (RAG) systems,



configuring semantic search indexing, embedding pipelines, and vector database retrieval.

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Cloud & Model Orchestration: Leverage AWS Bedrock and related cloud-native environments to consume, route, and optimize foundation models efficiently.

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Cross-Language Scripts: Write and debug orchestration code or data-processing scripts natively in Python to support AI data loaders, data chunking frameworks, and model evaluation metrics.

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DevOps & Code Quality: Containerize software components using Docker, maintain structured Git branching strategies, and support automated CI/CD workflows for reliable deployment.

Technical Skills & Qualifications

Mandatory Core Skills

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Overall Experience: 4.5 to 6 years of dedicated commercial software engineering experience.

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Primary Backend Stack: Expert-level execution in Java Backend development, including deep hands-on mastery over Spring Boot, Spring Boot Data/JPA, an

📌 Generative AI + Java (Pune)
🏢 TalentOla
📍 Pune