Responsibilities
- Design, develop, and deploy AI-powered applications leveraging LLMs and Generative AI.
- Build Retrieval-Augmented Generation (RAG) solutions using enterprise banking data.
- Develop intelligent assistants, chatbots, and knowledge management solutions.
- Integrate AI services with banking applications and APIs.
- Fine-tune, evaluate, and optimize LLM performance.
- Ensure compliance with banking security, governance, and regulatory requirements.
- Collaborate with business, data, and technology teams to deliver AI-driven solutions.
Basic qualifications
- 4+ years of software engineering experience.
- Strong Python programming skills.
- Experience with LLMs, Generative AI, and Prompt Engineering.
- Experience with LangChain, LlamaIndex, Vector Databases, and RAG architectures.
- Familiarity with machine learning frameworks and AI deployment practices.
- Experience with cloud platforms (AWS, Azure, GCP) is preferred.
Preferred qualifications
- Banking or Financial Services experience.
- Experience developing AI copilots or customer-facing AI solutions.
- Knowledge of AI governance and responsible AI practices.
Tags & focus areas
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