Staff / Principal ML Engineer

Alexander Chapman; Boulder (CO); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A leading technology firm is seeking an experienced Staff or Principal ML Engineer to lead the development of generative AI and LLM-powered products. This role involves designing and fine-tuning models, building advanced workflows, and deploying solutions into production. The ideal candidate has significant AI/ML engineering experience, particularly in LLM fine-tuning and production environments. This position offers a dynamic work environment with a focus on innovation and speed.

Qualifications

• 5–7+ years of applied AI/ML engineering experience (post-BS/MS/PhD).
• Expertise in LLM fine-tuning and advanced RAG pipelines.
• Experience designing agentic workflows or multi-agent systems.

Responsibilities

• Lead development of generative AI and LLM-powered products.
• Deploy models into production with low latency.
• Collaborate with product and engineering teams to deliver solutions.

Skills

LLM fine-tuning

Reinforcement Learning

Advanced RAG pipelines

Technical leadership

Designing agentic workflows

Adaptability in fast-paced environments

Education

5–7+ years of applied AI/ML engineering experience

Job description

Overview

Location: Boulder, CO or Remote

This 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.

Responsibilities

• Lead development of generative AI and LLM-powered products
• Own AI initiatives end-to-end: design and fine-tune open-source and proprietary LLMs
• Build advanced RAG pipelines, agentic workflows, and multi-agent systems
• Deploy models into production with low latency and high scalability
• Apply reinforcement learning fine-tuning techniques (PPO, DPO, GRPO, RLHF) to optimize performance
• Collaborate with product and engineering teams to deliver finance-focused AI solutions
• Provide hands-on technical leadership for shipping LLM-based products and autonomous AI systems

Qualifications

• 5–7+ years (post-BS/MS/PhD) of applied AI/ML engineering experience
• Expertise in LLM fine-tuning (LoRA, vLLM) and advanced RAG pipelines
• Proven experience with reinforcement learning fine-tuning and production deployment of generative AI models
• Experience designing agentic workflows or multi-agent systems for autonomous AI behavior
• Resilience and adaptability in early-stage startup or zero-to-one product environments
• Optional: experience in finance / fintech / wealth management

Why This Role

The 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 type

• Full-time

Seniority level

• Mid-Senior level

Job function

• Information Technology and Engineering

Industries

• Financial Services
• Software Development
• Technology, Information and Media