Senior Artificial Intelligence Engineer - LLM

Role Overview :

We are seeking a Senior AI Engineer with deep expertise in Generative AI, RAG (Retrieval-Augmented Generation), and Large Language Models (LLMs) to drive the development of advanced AI capabilities within our platform. In this role, you will work on cutting-edge applications leveraging financial datasets and LLMs to deliver intelligent, scalable, and user-centric AI Responsibilities :

• Design and Implement RAG Pipelines : Develop highly efficient RAG architectures that combine retrieval systems with LLMs for domain-specific tasks in finance.
• Vector Search & Retrieval : Leverage vector databases such as FAISS, Pinecone, Weaviate, or Qdrant for semantic search, document ranking, and high-speed querying.
• LLM Fine-Tuning & Integration : Customize open-source and commercial models (e.g., OpenAI, LLaMA, Mistral, Claude) for context-aware, domain-adapted use cases.
• Prompt Engineering : Develop optimized prompts, context compression techniques, and chunking strategies to improve model reasoning and response quality.
• Platform Integration : Collaborate with product, backend, and frontend teams to seamlessly integrate AI-driven features into user-facing applications.
• Performance Optimization : Ensure scalable inference, latency reduction, and model performance tuning using tools like quantization, pruning, or distillation.
• Research & Innovation : Stay on the bleeding edge of GenAI, NLP, and autonomous agent systems. Prototype new ideas and experiment with innovative Skills & Experience :
• Strong hands-on experience with LLMs, LangChain, prompt engineering, and RAG workflows.
• Experience working with vector databases (e.g., FAISS, Pinecone, Weaviate, Qdrant).
• Proficient in Python, with solid knowledge of libraries such as Transformers, HuggingFace, OpenAI API, LangChain, etc.
• Familiarity with document embeddings, retrieval techniques, and efficient chunking strategies.
• Experience deploying AI / ML models on cloud platforms (AWS, GCP, or Azure).
• Ability to independently handle projects in fast-paced, agile environments especially in a startup or scale-up to Have :
• Experience working with financial datasets or building AI products for financial services or fintech domains.
• Understanding of LLMOps, observability in GenAI pipelines, and maintaining AI in production.
• Familiarity with containerization (Docker), Kubernetes, and API development.

Senior AI Engineer

(ref : hirist.tech)