The 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.
  
  

Requirements:

• 3–4+ 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.