Note: The job is a remote job and is open to candidates in USA. FICO is a leading analytics and decision management company that empowers businesses and individuals with data-driven insights. The Senior or Lead Backend Engineer will integrate robust data engineering with next-generation AI capabilities, designing and maintaining scalable backend systems and data pipelines that enhance FICO's platform.

Responsibilities

• Design and deploy scalable backend systems and data pipelines that seamlessly integrate applied AI capabilities into FICO's analytics and decision management platform
• Build high-quality solutions for data ingestion, transformation, and storage, ensuring reliable, high-throughput data flow for real-time analytics
• Design and implement LLM-powered solutions for decision automation, fraud investigation, and process automation within FICO's platform
• Develop sophisticated prompting strategies and Retrieval-Augmented Generation (RAG) architectures tailored to high-stakes, mission-critical applications
• Partner with data scientists, ML engineers, and product teams to develop microservices and APIs that enable intelligent, data-driven decision-making
• Optimize distributed architectures and implement real-time processing frameworks to support high-volume, low-latency workloads
• Implement advanced monitoring, testing, and performance optimization techniques to ensure system reliability, security, and scalability
• Define and evolve architectural patterns that support FICO's analytics and decisioning solutions at scale
• Lead and mentor engineering team members, promoting best practices in software development, data engineering, AI integration, and systems design

Skills

• 5+ years of experience in backend or data engineering, with a demonstrated track record of delivering complex, large-scale production systems
• Strong coding skills in Python, Go, Java, or equivalent languages, with a commitment to clean, maintainable, and well-tested code
• Hands-on experience with big data frameworks (e.g., Apache Spark, Kafka, Hadoop) and a strong understanding of both relational and NoSQL databases
• Experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools such as Docker and Kubernetes
• Proven ability to design, build, and maintain scalable, production-grade backend systems with a focus on reliability and performance
• Solid experience with testing frameworks (including A/B testing), performance optimization, and production monitoring/observability practices
• Demonstrated experience integrating AI/ML solutions into production systems, including working with Large Language Models (LLMs) and related techniques
• Strong problem-solving and communication skills, with the ability to mentor engineers, influence technical direction, and collaborate effectively across disciplines
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) is strongly preferred
• An advanced degree is a plus but not required

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