AI Engineer

Responsibilities

• Design, test, and optimize complex prompts for accurate financial text and data extraction
• Command generative AI tools and programmatic code to output rich analytics charts
• Build autonomous LLM workflows and agents to replace manual reporting processes
• Fine-tune or apply RAG (Retrieval-Augmented Generation) to models using financial documentation
• Clean, manipulate, and restructure raw financial files into optimized prompt payloads

Requirements

• 3+ years of experience in AI, data science, and software engineering
• Practical experience working on banking projects
• Advanced Python skills including Pandas, NumPy, Matplotlib, Seaborn, LangChain, and LlamaIndex
• Extensive hands-on experience with commercial LLMs and vector databases
• Experience with DataRobot and SAS EG

Benefits

• Work at the forefront of AI-first software engineering
• Build real, production-grade AI-enabled systems with measurable impact
• High ownership and autonomy in an innovation-driven environment
• Collaborative culture that values execution and engineering excellence

About the Company

CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs.