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Tier‑1 brand, Bangalore metro, and mid-level AI role increase competition significantly.
Role requires deep generative-AI, RAG, vector DB, and Java production experience, so background sensitivity is high.
Explicit 3–7 years and many mandatory GenAI, RAG, vector DB, and production-integration skills create strict filters.
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Design, develop, and deploy enterprise-grade Generative AI solutions leveraging Java, AI/ML technologies, and multi-agent systems to automate technical operations and customer support workflows.
Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using Vector Databases and enterprise data sources for improved AI application performance.
Integrate Large Language Models (LLMs) with enterprise applications, develop prompt engineering strategies, and evaluate AI model quality using A/B testing and other frameworks.
3–7 years of software development experience with strong proficiency in Java.
Hands-on experience in AI/ML technologies, Generative AI application development, and building production-grade AI Agents and Agentic AI solutions.
Experience with Retrieval-Augmented Generation (RAG) architectures, Vector Databases (e.g., Oracle AI Vector Search, Pinecone, FAISS), and development of data ingestion pipelines for enterprise knowledge sources.
Location: Bangalore; Work Mode: Hybrid.
Experienced engineer skilled in building scalable AI applications integrating LLMs and multi-agent AI orchestration frameworks within enterprise environments.
Proficient in advanced AI concepts including prompt engineering, prompt management, AI evaluation methodologies (A/B testing, hallucination detection), and vector search technologies.
Comfortable collaborating across cross-functional teams (product, data engineering, cloud, security) to deliver innovative AI-powered enterprise solutions.