Senior/Lead - Backend Engineer, Data Engineer - AI Engineering
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Job Description
Senior/Lead Backend Engineer on Applied AI team integrating robust data engineering with AI capabilities for analytics. Collaborating with cross-functional teams to design scalable backend systems and data pipelines.
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.
Requirements:
- 7+ 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.
- Experience with Retrieval-Augmented Generation (RAG) architectures and familiarity with vector databases (e.g., Pinecone, Weaviate, pgvector) is strongly preferred.
- 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. An advanced degree is a plus but not required.
Benefits:
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
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