Lead AI Engineer (LLM & Agents)

Trust Wallet; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Trust Wallet is seeking a Lead AI Engineer to own the backend and Agent systems behind its LLM-powered products. You will design, build, and maintain multi-turn conversation systems, manage context, tool calls, retrieval, and human handoff, and shape the product's future direction.

The role requires shipping LLM features to real users, maintaining them post-launch, and proving impact with data. This is a fully remote global position with strong backend and Web3 experience preferred.

Qualifications

• Production LLM/Agent experience at scale.
• Strong backend engineering fundamentals (Go).
• Real evaluation discipline with regression suites and monitors.

Responsibilities

• Build and own AI backend and Agent workflows.
• Drive evaluation and continuous improvement.
• Diagnose problems across the stack (model judgment, knowledge gaps, tool responses).
• Own production reliability (timeouts, retries, degradation, async jobs).
• Shape product and technical decisions with feasibility, cost, risk.

Skills

LLM/Agent scale

Backend engineering

Evaluation discipline

Ownership mindset

Web3 experience

Job description

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. Experience designing and implement backend services in Golang and integrate with LLMs and AI systems.
• 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.

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.