Remote (Global) Full-time

WeTravel is hiring an AI Engineer

About the Role

WeTravel is launching its AI Lab, a fast-moving, experiment-driven team focused on discovering new AI solutions. As our first AI Engineer, you will work hand-in-hand with a Product Manager to ideate, prototype, and test Agentic AI workflows that solve high-impact problems for travel organizers and internal teams. This role is about rapid experimentation, building proof-of-concepts, validating them in the real world, and handing them off to product teams for full-scale rollout.

What You'll Do

  • Partner with the AI Lab Product Manager to design, build, and iterate on AI prototypes — from concept to working MVPs.
  • Architect and deliver Agentic AI solutions such as automated Itinerary builder workflows, AI-powered sales agents for organizers, and automation of the top 3 most time-consuming organizer tasks.
  • Work autonomously to build working prototypes in isolation from the main system, enabling high-speed iteration.
  • Run rapid experiments — validating or disproving product hypotheses in days, not weeks.
  • Ensure smooth handover of validated projects to product engineering teams, including documentation, training, and technical guidance.
  • Stay ahead of AI trends, frameworks, and tooling to continuously improve our experimentation velocity.
  • Collaborate cross-functionally with engineers, designers, and product teams to explore and evaluate AI opportunities.
  • Maintain a “move fast without breaking things” mindset — balancing speed with quality, stability, and compliance.

What We're Looking For

  • 6+ years of software engineering experience building production systems.
  • Strong engineering skills and proven experience in GenAI / LLM applications, having built and launched LLM-enabled products to customers.
  • Demonstrated ability to design, build, and ship working prototypes independently.
  • Proven track record of rapid iteration and experimentation.
  • Proficiency with LLM providers and SDKs (e.g., OpenAI, Anthropic, Google, Meta).
  • Experience with AI orchestration frameworks (LangChain, LlamaIndex, etc.) or custom-built solutions.
  • Ability to design and implement RAG pipelines end-to-end (ingestion, embeddings, vector stores, search, evaluation).
  • Knowledge of performance and cost optimization for AI workloads.
  • Familiarity with cloud platforms (AWS/GCP/Azure), containerization, and CI/CD.
  • Strong written and verbal communication skills.
  • Cross-functional collaboration experience.
  • Ability to mentor and train others on AI concepts.

Nice to Have

  • Understanding of model training, fine-tuning, and when to apply different approaches.
  • Prior work on agentic AI systems.
  • Experience with small language models (SLMs) for latency-sensitive workloads.

Technical Stack

  • React
  • ReactNative
  • TypeScript
  • Ruby on Rails
  • Python
  • Kubernetes
  • MongoDB
  • MySQL
  • Postgres
  • Snowflake

Team & Environment

You will be the first AI Engineer in the AI Lab, a fast-moving, experiment-driven team.

Benefits & Compensation

  • Generous "Time to Recharge" policy — unlimited paid time off.
  • Amsterdam Program – visit HQ in Amsterdam for 2-4 weeks every year, staying in a WeTravel apartment.
  • Annual team off-site.
  • Extensive paid family leave.
  • Three paid volunteer days per year.
  • 2-week cross-functional onboarding program.
  • Cutting-edge equipment and tools. Coverage for certain work-from-home (WFH) equipment.
  • Cambly for colleagues for whom English is not their first language.

Work Mode

This is a global role. You can work remotely for a maximum of 4 weeks per calendar year.

WeTravel is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Required Skills
ReactReactNativeTypeScriptRuby on RailsPythonKubernetesMongoDBMySQLPostgresSnowflakeAI/MLLLMsAPIsData EngineeringCloud Infrastructure
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About company
WeTravel

WeTravel is a platform that serves as the operating system for multi-day travel businesses, helping them manage sales, collect payments, run CRM, and operate their back office. It combines payment functionality and AI-enabled tools to help customers grow revenue, reduce friction, and save time.

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Job Details
Category fullstack
Posted 7 months ago