Senior Applied ML Engineer - Remote, LLM Systems

Respondology; United States; On-site; USD 140,000 - 175,000; Full time

Benefits offered by this job

Remote work

Flexible PTO

Healthcare options

401k with match

Parental leave

Team offsites

Job summary

Respondology is seeking a Senior Applied Machine Learning Engineer to ship LLM-powered systems and build scalable tooling. You will own high-difficulty features from prototype to production and collaborate with product and engineering to align technical feasibility with business goals.

The role requires 5+ years of production ML experience, hands-on LLM work, strong evaluation instincts, and proficient Python. This is a 100% remote role with occasional travel to Colorado for team activities.

Qualifications

• 5+ years building applied ML systems in production.
• Hands-on experience with LLMs, including classification, summarization, RAG, and agentic workflows.
• Strong ML evaluation instincts: constructing datasets, running offline and online evals, defining metrics.
• Ability to own a feature end-to-end without a lot of hand-holding.
• Strong Python skills and comfort working in a production codebase.
• Experience building internal tooling or platforms that leveled up other engineers is a big plus.

Responsibilities

• Own high-difficulty applied ML features end-to-end, from prototype through production.
• Build eval pipelines, golden datasets, and observability tooling (much of this is greenfield).
• Create reference implementations that show other engineers how to ship AI the right way.
• Partner with Product and Engineering to translate between what's technically feasible and what teams are trying to build.

Tools

Python

Job description

Respondology is seeking a Senior Applied Machine Learning Engineer to ship LLM-powered systems and build scalable tooling. You will own high-difficulty features from prototype to production and collaborate with product and engineering to align technical feasibility with business goals.

The role requires 5+ years of production ML experience, hands-on LLM work, strong evaluation instincts, and proficient Python. This is a 100% remote role with occasional travel to Colorado for team activities.