AI Engineer

Trellis

. Use your experience to design features connecting natural language queries with a large corpus of legal knowledge.

Posted 4/21/2026full-timeRemote • 🇺🇸 United StatesSeniorLead💰 $150,000 - $200,000 per yearWebsite

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Use your experience to design features connecting natural language queries with a large corpus of legal knowledge.
Build a data architecture you are proud to highlight.
Use unstructured data to build large scale data sets.
Work on a team dedicated to ML and Data Science with ownership of multiple projects and products.
Collaborate with the Product team to understand new features.

Requirements

What you’ll need

At least 7 years of backend engineering experience, at least 2-3 of which were spent building products using LLMs.
At least 1-2 years of experience fine-tuning LLMs for domain-specific and otherwise custom use-cases.
At least 1-2 years of experience building or using tooling to evaluate LLMs and LLM-based products, e.g. experience evaluating extractive and abstractive summaries.
At least 4-5 years of experience deploying custom machine learning models and working on end-to-end ML pipelines, including with unstructured data.
Experience building semantic search is a plus.
Python proficiency and working knowledge of SageMaker and Bedrock.
Strong understanding of Machine Learning, specifically Large Language Models.
Have mentored other Engineers in multiple projects.
Startup experience is highly valued.
BS/MS in Computer Science or a related technical discipline, or equivalent technical work experience.

Benefits

Comp & perks

Flexible remote-first work culture (with office space in Los Angeles).
We cover 100% of health, dental, and vision insurance for you and for spouses and dependents.
We have a 401(k) retirement savings plan with employer matching contributions.
Meaningful equity.
Flexible vacation policy.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

backend engineeringlarge language modelsfine-tuning LLMsevaluating LLMsdeploying machine learning modelsend-to-end ML pipelinessemantic searchPythondata architectureunstructured data

Soft Skills

mentoringcollaborationownershipteamworkcommunication

Certifications

BS in Computer ScienceMS in Computer Science