Build and deploy AI/ML and LLM-powered components used in Finance products
Implement prompt engineering, RAG pipelines, and AI workflows under defined architectures
Develop data pipelines, feature logic, and backend services supporting AI use cases
Apply strong SQL and Python skills to transform and analyze Finance data
Integrate AI services with APIs, data platforms, and UI layers
Package, deploy, and operate AI systems using CI/CD pipelines
Support experimentation, evaluation, and iteration of AI solutions
Contribute to system reliability, monitoring, and production readiness
Document solutions and support adoption by downstream users

Strong hands-on experience in Python and SQL
Working knowledge of machine learning and LLM-based systems
Experience with prompt engineering, structured prompts, and RAG patterns
Familiarity with integrating systems with LLMs such as OpenAI GPT, Claude, Gemini, or Llama
Understanding of ML/AI frameworks and tooling (e.g., LangChain, LangGraph, LangFlow, LlamaIndex
exposure is must)
Experience with cloud platforms, CI/CD pipelines, and deployment workflows
Experience building APIs and backend services (FastAPI, Flask, etc.)
Good knowledge of Data Structures and Algorithm
Understanding of containers and deployment (Docker; Kubernetes exposure must)
Ability to learn new tools and AI techniques quickly

Software Development Engineer II – AI

Key skills