Lead AI Engineer (LLM & Agents)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked just now — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1h ago
The date the source published, not the day we noticed it (2026-10-02). Last seen at its source just now.
Is it remote?
Remote - Global
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
Available worldwide
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $101.8k–163.4k/yr
Middle 50% of 14 listings that do state pay — Engineering · all levels · Worldwide · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
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Carried by 1 source
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ashby employer's own board first seen 1h ago · last seen just now
The listing
About the company
Trust Wallet is the leading non-custodial cryptocurrency wallet, trusted by over 200 million people worldwide to securely manage and grow their digital assets. Our vision is to give individuals the freedom to own their assets, confidently participate in the future economy, and access opportunities that enhance their lives. Our mission is to be a trusted personal companion — helping users safely navigate Web3, the on-chain economy, and the emerging AI-powered future. With support for over 10 million assets across 100+ blockchains, Trust Wallet offers a seamless, multi-chain experience backed by industry-leading self-custody technology, a vibrant community, and a growing ecosystem of partners.
About the Role
We're looking for a Lead AI Engineer to own the backend and Agent systems behind our LLM-powered products. The role is end to end: you'll build the Agent workflows, define how we measure quality, keep them reliable in production, and shape where the product goes next.
This role is for someone who has shipped LLM features to real users, stayed with them after launch, and can prove with data that their changes made things better.
Job Scope:
Build and own AI backend and Agent workflows
Design, build, and maintain multi-turn conversation systems, including context management, tool calling, knowledge retrieval (RAG), state management, and human handoff.
Drive evaluation and continuous improvement
Define success criteria with Product, Design, and QA leads.
Turn production failures into evaluation samples and regression tests.
Measure the impact and side effects of every change before and after release.
Diagnose problems across the stack
Isolate the root cause of failures: model judgment, knowledge gaps, abnormal tool responses, backend instability, or conflicting rules.
Apply the right fix for each cause rather than defaulting to prompt tweaks.
Own production reliability
Handle timeouts, retries, graceful degradation, async jobs, and third-party dependency failures.
Make sure every issue is traceable through logs, every change is versioned, and every failure has a recovery path.
Shape product and technical decisions
Give clear, reasoned positions on requirements, covering feasibility, cost, risk, and alternatives.
Propose better approaches and break work into phased, shippable deliverables.
Communicate proactively and follow through
Share progress, blockers, ETAs, and next checkpoints without needing to be chased.
After launch, track real-world impact and leave clear documentation and handover materials.
Requirements:
Production LLM/Agent experience at scale. You've built LLM or Agent features used by 10,000+ active users, and you've maintained and improved them after launch.
Strong backend engineering fundamentals. You're comfortable owning production code, APIs, data flows, and incident troubleshooting.
Real evaluation discipline. You've built evaluation sets, regression suites, and production monitoring, and you can explain how you confirmed an improvement was real rather than random fluctuation.
Ownership mindset. You make decisions, surface risks early, and don't consider a feature done until it's verified in production.
Web3 experience. Preferably 1 year of experience in a crypto, DeFi, or Web3 company (wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred)
Additional Information
This is a global and fully remote role. You must have the right to work for the country you are based.
Why work at Trust Wallet?
Be a part of the world’s leading blockchain ecosystem that continues to grow.
Excellent learning and career development opportunities.
Work alongside diverse, world-class talent, in an environment where learning and growth opportunities are endless.
Tackle fast-paced, challenging and unique projects.
Work in a truly global organization, with international teams and a flat organizational structure.
Work fully remotely with flexible working hours.
Enjoy competitive salary and benefits.
Apply today to join our team in building the world’s most trusted and secure crypto wallet and enable a decentralized future for everyone.
Trust Wallet is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
*Due to the large amount of the applications, please consider your application as unsuccessful should you not be contacted within 4 weeks from your application date.