Remote Staff AI Engineer: Lead Production LLMs

Watershed; United States; Remote; USD 190,000 - 230,000; Full time

Benefits offered by this job

Competitive salary

Job summary

Moxie is seeking a Staff AI Engineer to lead high-impact AI initiatives and own architectural decisions across our AI platform. You will work with Product, Design, QA, and cross-functional teams to advance Maia, the Context Engine, and AI drafts in production.

You'll join the Client Experience team to scale AI features with measurable quality, guardrails, and observable metrics. The role emphasizes hands-on execution, technical leadership, and strategic influence across the company.

Qualifications

• You've led large, ambiguous AI initiatives as an IC.
• You've shipped production LLM features used by real customers.
• You influence architecture and set engineering standards.
• You implement AI evaluation, testing, and monitoring in production.
• You design safe tool boundaries and manage latency, security, and cost tradeoffs.
• You build shared AI infrastructure with clear contracts and tenancy.

Responsibilities

• Lead production AI projects from design to production across Maia, Context Engine, and AI drafts.
• Deliver measurable quality improvements and reliability improvements in AI systems.
• Own major architectural decisions and influence across teams.
• Participate in architectural discussions and propose cross-team improvements.
• Drive AI quality scorecards and observable guardrails for surfaces.

Skills

Staff-level engineering

LLM experience

Technical leadership

AI evaluation

Tool design

Backend & platform

Tools

Python

Django

Postgres

Redis

REST

GraphQL

Job description

Moxie is seeking a Staff AI Engineer to lead high-impact AI initiatives and own architectural decisions across our AI platform. You will work with Product, Design, QA, and cross-functional teams to advance Maia, the Context Engine, and AI drafts in production.

You'll join the Client Experience team to scale AI features with measurable quality, guardrails, and observable metrics. The role emphasizes hands-on execution, technical leadership, and strategic influence across the company.