Afori

Senior ML Engineer at Afori (Barcelona, Spain)

Afori· Barcelona, Spain·

Role details

Work type
Onsite
Employment
Full-Time

Job description

Help change one of the largest global industries: insurance brokerage.

About Us

Afori's vision is to ensure every human has the best cover before it's needed. Our founders previously built insurance unicorn wefox and are now building the AI layer for insurance brokers: agents that plug directly into brokers' daily workflows and take over the back-office work that eats more than 60% of their time. We already save brokers over 2.5 hours a day, freeing them up to do what actually grows the business: advising customers well.

The opportunity is massive: the global protection gap is €1.3 trillion, and insurance distribution still runs on manual processes. Sequoia recently mapped AI-native services opportunities and ranked insurance brokerage first, a $140-200B market. We raised a €4M pre-seed led by General Catalyst, backed by investors and operators including Mustafa Suleyman (CEO, Microsoft AI) and Alex Rinke (Co-CEO, Celonis)

The Role

You own how Afori's agents think. Not the interface and not the infrastructure, but the reasoning itself, and the economics of running it at scale across thousands of real insurance Cases in a regulated market.

Key Responsibilities:

  • Learning Flywheel Architecture: Design and own the continuous learning loop for Afori's agent swarm: capturing agent outcomes, expert feedback, and case feedback to systematically improve agent performance over time.
  • Model Fine-Tuning & Distillation: Own the fine-tuning and distillation pipeline for specialized German insurance NLP tasks: selecting, training, and evaluating open-weight and proprietary models per task, with rigorous eval gates before production rollout.
  • Cross-Sell Intelligence Models: Build and own ML models that identify and score cross-sell opportunities across the customer book, translating APDB and account data into actionable revenue signals for the broker.
  • ML Infrastructure & Evaluation Standards: Establish and maintain the evaluation methodology (gold sets, benchmarks, abstention/faithfulness checks) and the serving infrastructure that all Afori ML models must meet before deployment.

What We’re Looking For

  • Strong track record building and shipping ML systems in production: fine-tuning, distillation, and evaluation of both open-weight and proprietary LLMs.
  • Hands-on experience designing evaluation methodologies: gold sets, benchmarks, abstention and faithfulness checks, and eval gates that decide what reaches production.
  • Solid ML engineering fundamentals: training pipelines, serving infrastructure, and cost-aware inference at scale.
  • Comfort owning ambiguous problems end to end in a fast-moving early-stage environment. You are a finisher, not just a starter.
  • Bonus: German language skills, NLP experience in regulated domains (insurance, finance, legal, health), or experience with agentic systems and continuous learning loops.

Compensation & Benefits

We let you choose your own balance between cash certainty and ownership: a higher-cash or a higher-equity package, with the equity-weighted option carrying a deliberate premium in total value.

  • Base salary: Competitive
  • Team bonus: 10% of base at 100% team goal achievement, paid half in cash and half in equity.
  • Equity: A meaningful founding-level option grant in a4i Inc. (Delaware C-Corp TopCo), vesting over 4 years with a 1-year cliff, then monthly. Options convert to common shares on exercise, making you a real shareholder on the cap table.
  • Annual reviews: Compensation and options are rediscussed after 12 months at the latest. We grant options/shares annually, so the best performers continuously get more.

Pathways to additional equity

  • Annual company ranking: Top performers receive additional equity at the annual compensation review.
  • Team goal achievement: When teams exceed objectives, you choose between a cash bonus and additional equity.
  • Promotion: Grants aligned with expanded responsibility.
  • Direct investment: You may invest personal funds into a4i Inc. Shares are issued immediately with no vesting.

Relocation & Benefits Relocating to Barcelona? We handle it. If you move your tax residency to Spain, you may qualify for the Beckham regime (flat 24% income tax up to €600,000 for up to six years). Afori prepares, files and pays for the application, covers the gestoria review, provides a relocation bonus, and supports your NIE, Social Security and padrón registration.

  • Work policy: Office-first culture in Barcelona, with flexibility.
  • Paid time off: 24 days annual leave plus public holidays, rising by one day per year of service to a maximum of 30.
  • Learning support: We fund courses, conferences and certifications that help you develop, approved case by case.
  • Equipment: Whatever you need to do the work properly.
  • Team culture: Regular team events and genuine Dream Team collaboration.
  • Flexible start date: We accommodate your notice period and, if needed, your move.

The Process Speed matters to us. With the right person, we can run the whole process in under two weeks.

  • Intro call with Felix, founding team member
  • Interview with Sergi, our Co-Founder & CTO
  • Interview with Fabian, our CEO & Co-Founder
  • One-day trial with us in the Barcelona office

Send your CV (or LinkedIn/GitHub profile) and a short note on the most interesting ML system you have built.

Why work at Afori

  • Culture highlights: Early-stage startup where new hires are “founding” team members; strong emphasis on pragmatic, service-driven engineering and solving real problems for brokers. Team includes experienced founders who have built companies before, engineers from Amazon, AI researchers, and Wharton graduates.
  • Remote/hybrid policy: Hybrid workspace – employees combine remote and on-site work; typical time on-site in Barcelona, Spain.
  • Notable perks or engineering culture: Opportunity to shape AI agents from the ground up; involvement in context engineering, RAG, microservice orchestration; summer internship tracks in knowledge systems, website redesign, and automation processes. The company is “pragmatic, service-driven, built with and for brokers.”

Application questions