Applied AI Engineer - Remote Eligible

The Role

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.

Unlike a traditional engineering role, you will not be working on LI.FI 's core protocol or developer-facing product. Your remit is everything else: the workflows, agents, and applications that compound productivity across the rest of the company. You will also contribute to a shared substrate layer that other internal AI tools build on, which is why a solid TypeScript foundation matters even when the surface area looks like business automation.

We are looking for someone 0–3 years into their career who has already shown initiative through side projects, open source contributions, or self-directed learning - and who is ready to grow quickly inside a team that builds production AI systems every day.

Location: Remote within Europe or Middle East (UTC+0 → UTC+5). Applications outside this region will not be considered.

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.

Current Tech Stack

• Node.js running TypeScript code in Docker containers

• MongoDB, Redis, Postgres for our data

• Ethers.js and Vien.js for communication with the blockchains

• Github, Kubernetes, AWS and CloudFlare for our GitOps CD chain

Growth Path

Building production AI systems is a valuable career path, and this role is designed to compound it. As you grow, two clear tracks open up:

• Team Lead within the AI team — owning a squad focused on a specific domain of LI.FI 's internal AI surface.

• Progression to more senior positions within the engineering org — moving to Senior, Staff, or Principal, carrying AI fluency into product, infrastructure, or platform work.

Location and Employment Type

We are a remote-first company. For this role, we are focused on EMEA, with a preference for candidates close to Central European Time given the seniority level and the need for close collaboration with the AI team lead.