## Summary

Loom is hiring a senior practitioner to lead delivery of agentic AI engagements. The role exists because the Applied AI and Harness Frameworks services need a dedicated lead to run concurrent customer engagements without principal bottlenecks.

## What you’ll do

- Lead delivery of multi-agent systems for enterprise customers, from scoping through production.
- Architect agent runtimes, tool integrations, and evaluation pipelines for production-grade systems.
- Run forward-deployed engagements: embedded with the customer team, shipping in their codebase against their real infrastructure.
- Set Loom’s technical standard for how we build agentic systems — patterns, eval frameworks, safety guardrails.
- Partner with the principals on architectural decisions and mentor practitioners across the team.

## What we’re looking for

- Senior-level experience building multi-agent systems in production environments.
- Production track record with at least one agent framework (LangGraph, CrewAI, AutoGen, or a proprietary equivalent).
- Direct experience operating LLM-based systems at scale: evaluation, guardrails, cost management, latency.
- Comfort working in a customer’s codebase against their real constraints.
- Strong technical communication. You can explain trade-offs to engineers and to executives in the same conversation.

## What is helpful but not required

- Prior experience at a forward-deployed company.
- Background in distributed systems or inference infrastructure.
- Open-source contributions to agent frameworks or evaluation tooling.

## What we offer

- Competitive base compensation, leveled against senior practitioner roles at top AI companies.
- Meaningful equity participation. Compensation is transparent and level-justified, with a written rationale.
- Remote-friendly across the US, Canada, Mexico, and India.
- Direct work with the principals and direct accountability for engagement outcomes.
- Hiring process: four stages, decision within ten business days of the working session.

## Hiring Process

### Designed around what predicts performance.

Four stages, structured the same way for every candidate. The hiring decision rests on a work sample scored independently by two evaluators — the methods with the strongest evidence behind them in the research on hiring. A decision within ten business days of the work sample.

01 // Screen

#### Structured conversation

Thirty minutes with Mugdha or Kevin. The same set of questions for every candidate at this stage: your recent work, the problems you want to be solving next, and what would make this engagement work for you. Mutual-fit calibration. The hiring decision is not made here.

02 // Work Sample

#### The hiring decision

A scoped problem drawn from a current Loom engagement — the same prompt every candidate for the role has seen. Two hours, paired with one of us. We score independently on a written rubric (technical depth, judgment under uncertainty, collaboration, communication) and compare scores before discussion.

03 // Team Panel

#### Structured interviews

Two or three thirty-minute conversations with the practitioners you would work with. Each is structured around a small set of behavioral and situational questions. Panelists score independently and calibrate after. You are evaluating us in the same conversations.

04 // Offer

#### Transparent and timely

A decision within ten business days of the work sample. If we extend an offer, you receive a written rationale for the level, the comp band, and the equity philosophy. If we do not, you receive specific feedback from the work-sample rubric.