The data & AI division at abra is looking for a hands-on Applied AI Engineer to join an innovative financial project. Youll 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 Youll 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
* 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.
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.
This position is open to all candidates.
