AI Engineer – Build Production-Grade AI Systems

About the role

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

Key responsibilities

• Design, test and optimise complex prompts for accurate financial text and data extraction.
• Generate rich analytics visualisations using generative AI tools and programmatic code.
• Build autonomous LLM workflows and agents to replace manual reporting processes.
• Fine‑tune or apply Retrieval‑Augmented Generation (RAG) techniques to models using financial documentation.
• Clean, manipulate and restructure raw financial files into optimal prompt payloads.

Required profile

• Minimum 3 years of experience in AI, data science and software engineering, preferably on banking projects.
• Advanced proficiency in Python and its data‑science ecosystem.
• Hands‑on experience with commercial large language models, vector databases and AI tooling such as DataRobot and SAS Enterprise Guide.

Required skills

• Python (Pandas, NumPy, Matplotlib, Seaborn, LangChain, LlamaIndex)
• Prompt engineering for LLMs
• Vector database management
• DataRobot platform
• SAS Enterprise Guide

What we offer

• Opportunity to work at the forefront of AI‑first software engineering.
• Production‑grade AI systems with measurable impact.
• High ownership, autonomy and collaboration with talented engineers.
• Inclusive culture that values execution, learning and engineering excellence.