AI Engineer

A fintech platform enabling financial institutions to provide inclusive lending, credit assessment, risk management, and goal-based financial services to underserved and underbanked customers. Build and deploy LLM-powered applications, including RAG pipelines and AI agents. Develop and evaluate AI solutions for credit risk, fraud, anomaly detection, and customer segmentation. Perform feature engineering, model selection, tuning, validation, and error analysis. Integrate vector databases, embeddings, and semantic search into AI applications.

Experiment with and deploy open-source/self-hosted LLMs for production use cases. Build scalable ML pipelines and data workflows across cloud infrastructure. Work closely with data engineers and product teams to take models from experimentation to production. Develop reusable AI/ML tooling and libraries with strong engineering practices. Monitor model performance and continuously improve accuracy, reliability, latency, and scalability.

Translate business and financial problems into practical AI/ML solutions. We are looking for an AI Engineer to build production-grade AI/ML solutions across credit risk, fraud detection, customer analytics, and GenAI use cases. You will work across LLM applications, RAG, agentic AI, machine learning, and MLOps, turning models and AI capabilities into scalable products in a high-impact fintech environment.