[Hiring] Lead AI Engineer @Trust Wallet

Role Description

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.

• 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
  • 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
  • Ensure 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

Qualifications

• Production LLM/Agent experience at scale
• Built LLM or Agent features used by 10,000+ active users, and maintained and improved them after launch
• Strong backend engineering fundamentals
• Comfortable owning production code, APIs, data flows, and incident troubleshooting
• Real evaluation discipline
• Built evaluation sets, regression suites, and production monitoring
• Ownership mindset
• Make decisions, surface risks early, and verify features in production
• Web3 experience, preferably 1 year in a crypto, DeFi, or Web3 company (wallet, exchange, L1/L2 protocol, or DeFi platform strongly preferred)

Requirements

• Production LLM/Agent experience at scale
• Strong backend engineering fundamentals
• Real evaluation discipline
• Ownership mindset
• Web3 experience

Benefits

• 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