FICO
AI Engineering - Senior/Lead Engineer
Work from Home, United States · Senior
Sponsorship not specified$140k-$220kDetected 30 days ago
TypeScriptPythonVector DatabasesMachine LearningData ScienceLLMsRAGAgentic AILLMOpsLangGraphProduct StrategyProcess ImprovementResearchCommunicationCollaborationProblem Solving
About the role
- In this role, you will uphold high standards of reliability, evaluation rigor, and responsible AI governance across all initiatives, shipping capabilities that make a lasting impact on FICO's platform.
Responsibilities
- You will collaborate with a high-caliber, multidisciplinary team and drive innovation through deep expertise in applied AI, software engineering, and systems design.
- Design and build production AI systems - including agents, RAG pipelines, and LLM-powered workflows - that integrate seamlessly into FICO's analytics and decision management platform.
- Drive end-to-end delivery of AI features, including prompt and context engineering, tool/function design, writing reusable and well-tested code, running offline and online evaluations, and communicating results to stakeholders.
- Build and operate the application layer around foundation models: orchestration, tool use, memory, retrieval, guardrails, observability, and human-in-the-loop workflows.
- Experience building offline and online evaluation pipelines for AI systems defining metrics, building eval sets, running A/B tests, and using signals to drive iterative improvement.
- At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today - Big Data analytics.
Nice to have
- Fine-tune, distill, and adapt open and closed foundation models when warranted, and align technical choices with FICO's product strategy and roadmap.
- Apply modern AI engineering practices across heterogeneous infrastructure, from CPU-bound orchestration services to GPU-accelerated inference and training workloads.
- Hands-on experience designing and deploying LLM-based features in production including prompt and context engineering, tool/function calling, agentic workflows, and evaluation-driven iteration.
- Strong coding skills in Python and/or TypeScript, with experience using modern AI SDKs and frameworks (e.g., the Anthropic, OpenAI, or Google SDKs
- LangChain, LlamaIndex, LangGraph
- agent frameworks
- Solid working knowledge of how foundation models behave in practice - including their capabilities and failure modes and experience with fine-tuning, distillation, or model adaptation when product needs warrant it.
- Familiarity with the architectural patterns of production LLM systems, including orchestration, tool use, memory, guardrails, observability, caching, and cost/latency optimization.
Compensation
- $140,000 to $220,000 with this range reflecting differences in candidate knowledge, skills and experience.
Benefits
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- You'll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
Company info
- 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.
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
Visa & Work Authorization
- candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status
This listing is sourced directly from FICO's careers page and normalized into a canonical job model.