Backend & AI Engineer - LLM / RAG

Job Overview :

We are seeking a skilled Backend + AI Engineer with strong expertise in Large Language Models (LLMs) and vector databases to build and optimize RAG pipelines for financial datasets. The ideal candidate will integrate AI / LLM features into user-facing platforms, ensuring high performance, accuracy, and scalability.

Key Responsibilities :

• Design, build, and optimize retrieval-augmented generation (RAG) pipelines using LLMs and financial datasets.
• Work with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant) to build fast and accurate document retrieval systems.
• Fine-tune and integrate open-source and proprietary LLMs (OpenAI, Llama, Mistral, Claude) for domain-specific financial use cases.
• Collaborate with product and engineering teams to integrate AI / LLM features into the platform.
• Evaluate and implement prompt engineering, context compression, and chunking strategies for optimal model

performance.

A technically strong AI / LLM engineer with expertise in RAG pipelines, vector search, and LLM fine-tuning, capable of building scalable, high-performance AI features for financial applications, and comfortable working in an agile startup environment.

(ref : hirist.tech)