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Open to consultants anywhere in India
Our client, a global leader in Energy Management and Automation, is seeking a highly skilled AI Engineer / Full Stack Developer with strong expertise in JavaScript, Elasticsearch, and AI-driven technologies to support the modernization of existing systems and drive the transition away from a Liferay-based architecture.
The ideal candidate will bring hands-on experience in building scalable web applications, designing AI-powered search and retrieval systems, and implementing Retrieval-Augmented Generation (RAG) frameworks to enable intelligent data access and automation. This role will play a critical part in shaping next-generation, AI-enabled content platforms.
Key Responsibilities
• Design and develop scalable web applications using modern JavaScript frameworks (Node.js, React, Next.js, or similar).
• Build and optimize Elasticsearch-based search solutions, including indexing strategies, querying, and performance tuning.
• Develop AI-powered solutions to modernize legacy systems and support migration away from Liferay.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for intelligent document search, knowledge retrieval, and AI-assisted workflows.
• Integrate Large Language Models (LLMs) with internal data sources, enterprise systems, and APIs.
• Design and develop AI agents capable of:
Ingesting content from publishers
Recommending appropriate templates based on content type
Performing content refinement (formatting, polishing, compliance)
Enabling approval workflows prior to publishing
• Ensure published content adheres to enterprise guidelines (format, font, color palette, and branding standards).
• Identify and implement alternative, preferably AI-enabled and cost-effective (freeware/open-source) solutions to replace Liferay for internal content publishing.
• Enable RAG-powered search capabilities across the content platform.
• Ensure content accessibility via APIs or scalable interfaces for integration with other AI/RAG systems.
• Collaborate with product, engineering, and architecture teams to define and execute AI-driven modernization strategies.
• Ensure system scalability, performance optimization, and adherence to security best practices.
• Actively contribute to architecture discussions and recommend improvements for AI-enabled platforms.
Strong proficiency in JavaScript (Node.js and modern frameworks such as React, Next.js, or similar).
Hands-on experience with Elasticsearch, including indexing, querying, and optimization.
Solid understanding of AI/ML concepts, particularly Retrieval-Augmented Generation (RAG).
Experience integrating Large Language Models (LLMs) into production applications.
Experience working with APIs, microservices, and cloud-based architectures.
Proven ability to design and implement solutions for legacy system modernization or migration.
Strong analytical and problem-solving skills with the ability to work in a collaborative, cross-functional environment.
Preferred Qualifications
Experience with vector databases and semantic search architectures.
Familiarity with AI frameworks such as LangChain, LlamaIndex, or similar.
Exposure to embeddings, knowledge graphs, and document intelligence systems.
Prior experience working with enterprise CMS platforms such as Liferay.
Experience with cloud platforms (AWS, Azure, or GCP).
Nice to Have
Experience building Generative AI applications.
Background in search-based AI systems or enterprise knowledge platforms.
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