AI Engineer

About the role

CodeNinja is seeking a hands‑on AI Engineer to design, develop, and operate AI‑powered software systems that deliver real‑world value, especially for financial data workflows. The role sits at the intersection of software engineering, product development, and applied AI, focusing on practical implementation rather than research.

Key responsibilities

• Prompt engineering: design, test and optimise complex prompts for accurate financial text and data extraction.
• Data visualisation: command generative AI tools and write code to produce rich analytics charts.
• Process automation: build autonomous LLM workflows and agents to replace manual reporting processes.
• Model customisation: fine‑tune or apply Retrieval‑Augmented Generation (RAG) to models using financial documentation.
• Data processing: clean, manipulate and restructure raw financial files into optimized prompt payloads.

Required profile

• 3+ years of hands‑on experience in AI, data science and software engineering, preferably on banking projects.
• Strong command of Python and its data‑science ecosystem.

Required skills

• Python
• Pandas
• NumPy
• Matplotlib
• Seaborn
• LangChain
• LlamaIndex
• Commercial large language models (LLMs)
• Vector databases
• DataRobot
• SAS Enterprise Guide (SAS EG)

What we offer

• Opportunity to build production‑grade AI‑enabled systems with measurable impact.
• High ownership and autonomy supported by cutting‑edge AI tools.
• Collaboration with talented engineers and product leaders in an innovation‑driven environment.
• Inclusive culture that values execution, learning and engineering excellence.