Staff Data/AI Engineer
Required skills
Master’s degree in Computer Science, Software Engineering, or a related field, with 5+ years of experience in data, software, ML, or AI engineering, Proficiency in writing clean, maintainable code (i.e. Python, Java, SQL, Spark) with strong software engineering fundamentals, including version control, testing, and code review best practices, Experience developing and integrating AI-powered systems such as LLM applications, RAG pipelines, or agent-based workflows into secure, production environments, Deep understanding of data modeling, distributed systems, storage optimization, and performance turning for large-scale AI and analytics workloads, A solid understanding of the ML data lifecycle, including feature engineering, model integration, deployment support, and monitoring
Responsibilities
Build and maintain scalable batch and streaming data pipelines to ingest, transform, and curate high-quality datasets for AI and agentic workflows, Implement DataOps and MLOps automation, including CI/CD pipelines, data validation checks, ML model deployment, monitoring, and drift detection, Develop and integrate AI services such as LLM-powered APIs, retrieval-augmented generation (RAG) pipelines, and agent orchestration logic into secure, production-grade environments, Design and optimize data models, feature stores, and storage patterns to ensure performance, reliability, and governance across AI workloads, Write production-quality code, conduct code reviews, troubleshoot performance issues, and continuously improve system reliability, scalability, and observability
Seniority
Staff
Domain
Banking