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# Agentic Development Manager

- **Company:** MOMENTIQ INC.
- **Location:** Los Angeles, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Python (Programming Language), Software Engineering, TypeScript, Concurrency, AI Coding Agents, Agentic-AI
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25304_6718bef7e44f280c1d25a91904ce16a1

## About the Role

You've been a senior/staff+ full-stack engineer. You can read, write, and review production TypeScript/Python, you've designed real systems, and you've shipped at scale. You are not "post-technical."

Deep hands-on experience with AI coding agents

You've spent serious time using modern AI coding agents in production. You know where they break, how to prompt them, how to structure repos and specs so they succeed, and how to close the loop with evals and CI.

You've built CI/CD pipelines, job queues, or autonomous systems before. You think in terms of throughput, concurrency, retries, backpressure, and self-healing - not tickets., Comfortable owning platforms that real revenue flows through. Our systems touch $120M+/year of GMV - downtime and regressions have real cost., * 5+ years of professional software engineering experience, with at least 2 years at a senior/staff level shipping production systems.

 * Demonstrable experience leading engineering work - managing a team, tech-leading a major platform, or running an autonomous agent pipeline at scale.
 * Serious hands-on fluency with modern AI coding agents in a production setting - not just side projects.
 * Experience designing systems for concurrency, reliability, and self-healing (queues, retries, observability, on-call).
 * Bias toward shipping. Strong written communication - specs, issues, and docs that humans and agents both understand.

## Description

1. Platform Ownership

Own the platforms that power MomentIQ and a meaningful slice of the US TikTok Shop ecosystem end-to-end. Set the architectural direction and make sure it keeps up with the business.

Turn product roadmap and founder-level intent into specs, issues, and PRs that agents can actually execute against. Review agent output, unblock failure modes, and feed learnings back into the system so every week is faster than the last.