Applied AI Engineer (GenAI & ML)

DESCRIPTIONThe Data & AI division at abra is looking for a hands-on Applied AI Engineer to join an innovative financial project. You’ll work closely with the Lead AI Engineer to transform decision-making, document analysis, and credit automation using AI. This is an end-to-end role for a self-starter with strong business sense and a passion for solving complex financial problems.What You’ll Do:Design, develop, and deploy AI solutions from research to production.Build LLM-based engines for financial document analysis, automated data extraction, and credit process optimization.Develop and train predictive ML models (Regression / Classification) in small-data environments.Fine-tune existing ML and LLM models for specific financial use cases.Develop backend infrastructure and integrate AI models into user-facing systems.REQUIREMENTS3–4+ years in software development (Backend / Full-Stack).Expertise in Generative AI, ML, RAG, Fine-tuning, Prompt Engineering.Strong in Python, Pandas, Scikit-learn, TensorFlow / PyTorch; experience with LangChain / LlamaIndex.Solid understanding of SQL / NoSQL databases and data structures.Independent, proactive, business-oriented with ability to understand financial needs.Bonus: FinTech or financial/legal document experience.