FICO
analytics software
Senior/LeadBackendEngineer/DataEngineerAIEngineering
“Senior/Lead - Backend Engineer/Data Engineer - AI Engineering at FICO. Skills: Backend Engineering, Data Engineering, Applied AI, Large Language Models. Design and deploy scalable backend systems. Build high-quality solutions for data ingestion”
What You'll Achieve.
making a lasting impact on FICO's platform; seamlessly integrate applied AI capabilities; ensuring reliable, high-throughput data flow; support high-volume, low-latency workloads; ensure system reliability, security, and scalability; support FICO's analytics and decisioning solutions at scale
Industry & Context.
problem-solving skills
What They're Looking For.
Must Have
7+ years of experience in backend or data engineering, coding skills in Python, Go, Java, or equivalent languages, Hands-on experience with big data frameworks (e.g., Apache Spark, Kafka, Hadoop), understanding of both relational and NoSQL databases, Experience with cloud platforms (AWS, GCP, or Azure), container orchestration tools such as Docker and Kubernetes, Proven ability to design, build, and maintain scalable, production-grade backend systems, Solid experience with testing frameworks (including A testing), performance optimization, production monitoring/observability practices, Demonstrated experience integrating AI/ML solutions into production systems, working with Large Language Models (LLMs), problem-solving and communication skills
Nice to Have
An advanced degree is a plus, Experience with Retrieval-Augmented Generation (RAG) architectures, familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector)
What You'll Do.
Design and deploy scalable backend systems
Build high-quality solutions for data ingestion
Design and implement LLM-powered solutions
Develop sophisticated prompting strategies
Partner with data scientists
Optimize distributed architectures
Implement advanced monitoring techniques
Define and evolve architectural patterns
Lead and mentor engineering team members
How You'll Work.
Team & Collaboration
collaborate with a high-caliber team; Partner with data scientists, ML engineers, and product teams; collaborate effectively across disciplines
Communication Scope
communication skills
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