Staff / Principal ML Engineer

OverviewLocation: Boulder, CO or RemoteThis role is for an experienced Staff or Principal ML Engineer to lead the development of generative AI and LLM-powered products. The engineer will take ownership of AI initiatives end-to-end: designing and fine-tuning open-source and proprietary LLMs, building advanced RAG pipelines, agentic workflows, and multi-agent systems, and deploying models into production with low latency and high scalability. The role involves applying reinforcement learning fine-tuning techniques (PPO, DPO, GRPO, RLHF) to continuously optimize model performance, and collaborating with product and engineering teams to deliver finance-focused AI solutions. This is a hands-on, technical leadership role for individuals with experience shipping LLM-based products, building autonomous AI systems, and driving zero-to-one product initiatives in fast-paced environments.ResponsibilitiesLead development of generative AI and LLM-powered productsOwn AI initiatives end-to-end: design and fine-tune open-source and proprietary LLMsBuild advanced RAG pipelines, agentic workflows, and multi-agent systemsDeploy models into production with low latency and high scalabilityApply reinforcement learning fine-tuning techniques (PPO, DPO, GRPO, RLHF) to optimize performanceCollaborate with product and engineering teams to deliver finance-focused AI solutionsProvide hands-on technical leadership for shipping LLM-based products and autonomous AI systemsQualifications5–7+ years (post-BS/MS/PhD) of applied AI/ML engineering experienceExpertise in LLM fine-tuning (LoRA, vLLM) and advanced RAG pipelinesProven experience with reinforcement learning fine-tuning and production deployment of generative AI modelsExperience designing agentic workflows or multi-agent systems for autonomous AI behaviorResilience and adaptability in early-stage startup or zero-to-one product environmentsOptional: experience in finance / fintech / wealth managementWhy This RoleThe team is composed of engineers and financial experts with experience at leading tech and finance firms. The environment is fast-paced, moving 2–4x faster than typical fintech companies, building MVPs in 3 months and production-ready products in 6–12 months.Employment typeFull-timeSeniority levelMid-Senior levelJob functionInformation Technology and EngineeringIndustriesFinancial ServicesSoftware DevelopmentTechnology, Information and Media #J-18808-Ljbffr

Created: 2025-10-08