Senior AI Backend Data Engineer – GenAI

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FICO

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1956

💸 Finance

🤖 Artificial Intelligence

☁️ SaaS

Finance • Artificial Intelligence • SaaS

FICO is a leading analytics and software company renowned for its FICO® Score, a tool widely used by lenders to assess credit risk. The company offers a comprehensive platform that leverages data, AI, and machine learning to power intelligent decision-making and customer engagement across various industries. FICO's solutions span fraud detection, credit scoring, and customer lifecycle management, making it vital to sectors such as finance and telecommunications. Its innovative products help businesses optimize outcomes through real-time analytics, business composability, and scenario management.

📋 Description

• Design and deploy scalable backend systems and data pipelines • Build high-quality solutions for data ingestion, transformation, and storage • Design and implement LLM-powered solutions • Develop sophisticated prompting strategies and RAG architectures • Partner with data scientists and ML engineers • Optimize distributed architectures and implement real-time processing frameworks • Implement advanced monitoring, testing, and performance optimization techniques • Define and evolve architectural patterns • Lead and mentor engineering team members

🎯 Requirements

• In-depth experience in backend or data engineering • Strong coding skills in Python, Go, Java, or equivalent languages • Hands-on experience with big data frameworks (e.g., Apache Spark, Kafka, Hadoop) • Experience with cloud platforms (AWS, GCP, or Azure) • Proven ability to design, build, and maintain scalable, production-grade backend systems • Solid experience with testing frameworks • Demonstrated experience integrating AI/ML solutions into production systems • Strong problem-solving and communication skills • Bachelor's or Master's degree in Computer Science, Engineering, or a related field

🏖️ Benefits

• Highly competitive compensation • Opportunities for professional development • Work/life balance initiatives • Employee resource groups • Social events to promote interaction