Role Overview:We are looking for a high-potential AI Engineer to join our core engineering team in Bangalore, focusing on the intersection of Generative AI and high-scale transaction banking. In this role, you will be responsible for building, fine-tuning, and deploying sophisticated LLM-based applications that streamline complex financial workflows and enhance customer-facing payment experiences.Key Responsibilities:- Architect and implement RAG pipelines to enable intelligent document processing and real-time query resolution for complex financial datasets.- Develop and optimize prompt engineering strategies to improve the precision and reliability of LLM outputs in sensitive banking environments.- Integrate advanced AI models with existing transaction banking infrastructure via secure APIs to automate manual reconciliation and reporting tasks.- Manage the end-to-end lifecycle of LLM applications, including monitoring, evaluation, and fine-tuning, to ensure high performance and cost-efficiency.- Collaborate with the security team to implement guardrails and data privacy protocols,



ensuring all AI implementations comply with stringent financial regulatory standards.- Build scalable data engineering pipelines to feed high-quality, structured, and unstructured data into VectorDBs for productive information retrieval.Tech Stack:- Python, PyTorch, LangChain, VectorDBs, LLMOps.What we're looking for:- Demonstrated proficiency in Python and deep learning frameworks like PyTorch to build and iterate on machine learning models.- Hands-on experience with orchestration frameworks such as LangChain to build complex, multi-step AI agents.- Strong understanding of VectorDB architectures and their application in building scalable retrieval systems.- Ability to manage cloud-based infrastructure and deploy AI models in production environments with a focus on high availability.- Excellent communication skills to articulate technical AI concepts to non-technical stakeholders and cross-functional teams.- A proactive mindset with the ability to thrive in a fast-paced, hybrid work environment in Bangalore.- A solid foundation in computer science or a related quantitative field, with a keen interest in applying Generative AI to solve real-world financial challenges. (ref:hirist.tech)

📌 AI Engineer - LLM/RAG - Fintech Bangalore (Bengaluru)
🏢 HiringBlaze
📍 Bengaluru