Applied AI Engineer at LI.FI · Web3Vacancy
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Applied AI Engineer

Remote
Market range (est.) $60k–$115k
◆ 7/10 aicryptoweb3Other
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About this role

Join LI.FI as an Applied AI Engineer to develop internal AI tools and automations, collaborating with various business teams to enhance productivity. This remote role is ideal for those with 0-3 years of experience in AI engineering.

Description

We are hiring an Applied AI Engineer to join our AI team. This is an interdisciplinary, high-leverage role: you will be embedded in the AI team but spend most of your time partnering with the business teams across LI.FI - BD, sales, operations, legal, HR, finance, marketing, and customer service - to scope and build the internal AI tools and automations that make them more effective.

Responsibilities

What you’ll do

  • Own the end-to-end build of internal AI tools and automations: requirements gathering, stakeholder alignment, design, implementation, deployment, and iteration.
  • Translate ambiguity into product — distill a team's needs into a coherent plan and present it back to stakeholders in a way that gets buy-in.
  • Build on a shared substrate — contribute to the common TypeScript layer that internal AI tools at LI.FI are built on, so your work compounds with everyone else's.
  • Close collaboration with business teams — sit with BD, ops, legal, HR, finance, marketing, or customer service to deeply understand their workflows, pain points, and opportunities for AI leverage.
  • Think holistically — over time, help shape LI.FI's overall internal AI strategy rather than shipping isolated one-off automations.
  • Work cross-functionally — collaborate with shared resources such as DevOps and Security through our standard prioritization workflow.
Requirements

What we’re looking for

#### Must-haves
  • TypeScript proficiency — this is our minimum technical bar, since you will be contributing to our shared substrate layer.
  • Demonstrable, AI-native engineering experience — work we can actually look at. GitHub projects, open source contributions, or working implementations using LLM tooling, agent libraries, or AI frameworks.
  • DevOps & Security: knowledge and understanding of best practices and foreseeable challenges.
  • Drive and curiosity — someone who builds things on their own time, not because they were assigned to.
  • Structured independence — able to manage projects end-to-end without hand-holding, while staying coordinated with stakeholders.
  • Growth mindset — we are hiring for trajectory, not credentials. We care more about how you think and learn than about the brand of your CV.
  • Strong written and verbal communication — you will be the bridge between business stakeholders and AI capabilities.
#### Nice-to-haves
  • Crypto, DeFi, or Web3 background — enough context to quickly understand LI.FI's mission, customers, and ecosystem.
  • Experience shipping production AI systems — even small ones — with attention to evaluation, reliability, and cost.
  • Exposure to internal tooling or BPM work — you have automated workflows for non-technical teammates before.
Conditions & Benefits

What you’ll get

  • Annual team offsites (Thailand in 2023, Vietnam in 2024, Marrakech in 2025, Crete in 2026; memories we'll never forget. Already dreaming about where 2027 will take us!)
  • 30 days of PTO
  • Flexible remote days
  • Flexible working hours
  • Equity participation from day 1
  • Entitlement to work computer (choice of equipment)
  • An annual 1,000€ personal development budget once you have worked 6+ months (pro-rated the first year)
  • A one-time 1,000€ remote budget to use on coworking, office setup, etc. If you join us as an independent contractor, you’re only entitled to the first five benefits of this list. This role is engaged via employer of record (EOR) or independent contractor arrangement.
Job Details
Market range (est.)$60k–$115k
LocationRemote
AI Score★★★★★★★☆☆☆ 7/10
PostedMay 22, 2026 (51d ago)
Tags & Skills
aicryptoweb3Otherremote
Tech Stack
TypeScriptNode.jsMongoDBRedisPostgresEthers.jsVien.jsGitHubKubernetesAWSCloudFlare

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