Lead AI Engineer (LLM & Agents)

Global · 1+ years experience · Full-time · Remote · Posted Oct 2, 2026

At a glance

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.

Trust Wallet is seeking a Lead AI Engineer to own the backend and Agent systems behind LLM-powered products.
This end-to-end role involves building Agent workflows, defining quality metrics, ensuring production reliability, and shaping product direction.

Design, build, and maintain multi-turn conversation systems, including context management, tool calling, knowledge retrieval (RAG), state management, and human handoff.
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.
Isolate the root cause of failures across model judgment, knowledge gaps, abnormal tool responses, backend instability, or conflicting rules.
Handle timeouts, retries, graceful degradation, async jobs, and third-party dependency failures.
Ensure every issue is traceable through logs, every change is versioned, and every failure has a recovery path.
Give clear, reasoned positions on requirements, covering feasibility, cost, risk, and alternatives.
Propose better approaches and break work into phased, shippable deliverables.
Track real-world impact post-launch and leave clear documentation and handover materials.

Production LLM/Agent experience at scale, having built features used by 10,000+ active users with post-launch maintenance.
Strong backend engineering fundamentals with experience owning production code, APIs, data flows, and incident troubleshooting.
Experience designing and implementing backend services in Golang and integrating with LLMs and AI systems.
Real evaluation discipline demonstrated through evaluation sets, regression suites, and production monitoring.
Ownership mindset focused on decision making, surfacing risks early, and verifying features in production.

Preferably 1 year of experience in a crypto, DeFi, or Web3 company, with wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred.