Job Overview
Location
Remote EMEA
Job Type
Full-time
Category
Software Engineering
Date Posted
May 22, 2026
Full Job Description
đź“‹ Description
- • Own the end-to-end build of internal AI tools and automations, from requirements gathering and stakeholder alignment to design, implementation, deployment, and iteration.
- • Translate ambiguous business needs into coherent AI-driven solutions and present them to non-technical stakeholders to secure buy-in.
- • Contribute to a shared TypeScript substrate layer that underpins all internal AI tools at LI.FI, ensuring your work compounds across teams.
- • Collaborate directly with business teams including BD, sales, operations, legal, HR, finance, marketing, and customer service to understand workflows, pain points, and opportunities for AI leverage.
- • Build production-grade AI systems using LLM tooling, agent libraries, or AI frameworks, with attention to evaluation, reliability, and cost efficiency.
- • Work cross-functionally with DevOps and Security teams through the company’s standard prioritization workflow to ensure compliance and scalability.
- • Think strategically about LI.FI’s overall internal AI strategy, moving beyond one-off automations to shape a cohesive ecosystem of productivity tools.
- • Work independently with structured discipline, managing projects end-to-end without constant oversight while maintaining alignment with stakeholders.
- • Demonstrate initiative through self-directed learning, side projects, or open source contributions that showcase AI-native engineering experience.
- • Communicate clearly and effectively in both written and verbal form, acting as the bridge between business teams and technical AI capabilities.
- • Build on a tech stack including Node.js with TypeScript in Docker containers, MongoDB, Redis, Postgres, Ethers.js, Vien.js, GitHub, Kubernetes, AWS, and CloudFlare.
- • Contribute to a culture of ownership, accountability, and learning by taking bold actions, owning outcomes, and learning from failures.
- • Participate in a comprehensive interview process including a people operations interview, a take-home assignment, a meet-the-team & founder interview, and a reference check.
- • Engage in a remote-first environment with collaboration expectations aligned to EMEA time zones (UTC+0 to UTC+5).
🎯 Requirements
- • TypeScript proficiency — minimum technical bar for contributing to the shared substrate layer
- • Demonstrable, AI-native engineering experience — GitHub projects, open source contributions, or working implementations using LLM tooling, agent libraries, or AI frameworks
- • DevOps & Security knowledge — understanding of best practices and foreseeable challenges
- • Drive and curiosity — self-directed builder who creates outside of assigned tasks
- • Structured independence — ability to manage end-to-end projects without hand-holding while staying coordinated
- • Strong written and verbal communication — ability to bridge business stakeholders and AI capabilities
🏖️ Benefits
- • Annual team offsites (e.g., Thailand 2023, Vietnam 2024, Marrakech 2025, Crete 2026)
- • 30 days of PTO
- • Flexible remote days and flexible working hours
- • Equity participation from day 1
- • Entitlement to work computer (choice of equipment)
- • Annual 1,000€ personal development budget after 6+ months of employment (pro-rated first year)
- • One-time 1,000€ remote budget for coworking or office setup
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About LI.FI GmbH
LI.FI GmbH builds cross-chain liquidity aggregation infrastructure for decentralized applications. Its software development kit aggregates bridges and decentralized exchanges, enabling apps to offer token swaps and bridging across 20-plus EVM and non-EVM networks through a single integration. Founded in 2021 and headquartered in Berlin, the company provides routing algorithms, smart-order routing, and transaction simulation to reduce fragmentation in multichain DeFi. The platform serves wallets, decentralized exchanges, and Web3 applications seeking seamless liquidity access without managing multiple bridge integrations or liquidity pools.
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