WeatherWise (Ehabitation Ltd, trading as EHAB) is a London-based weather risk specialist. We help construction, energy, agriculture and logistics businesses understand, plan for and insure against weather risk.

WeatherWise Construction provides weather-delay analysis and simulation. WeatherWise Studio is an AI-native parametric insurance platform: our agent Kite helps brokers discover risks, structure and price cover, generate materials and route submissions to carriers. A weather-data engine drawing on 180,000+ stations and global datasets powers both.

We are a small senior team focused on trust, auditability and correctness. Website: https://www.ehab.co/

**Semana de trabalho de 4 dias — 32 horas semanais. Remuneração mensal: R$ 15.000 a R$ 25.000, conforme experiência.**

Senior Full-stack Engineer (AI & Agents), reporting to the CTO. This role has substantial Python/backend ownership alongside React/TypeScript frontend work.

• Design, build and run APIs, data pipelines, pricing and simulation engines, and integrations.
• Extend agent tools, orchestration, memory, evaluation harnesses and observability. Make production agent workflows reliable with guardrails, graceful failure and human approval steps.
• Own weather-data ingestion, storage, indexing and querying of decades of time-series and geospatial history.
• Ship React/TypeScript interfaces for your own features with our design-led frontend engineer.
• Build documented, versioned public APIs for brokers and carriers.
• Own cloud infrastructure, CI/CD, monitoring, security and incident response.
• Use AI coding tools daily and help the team improve its workflow.

Work directly with the CTO and have a substantial say in architecture and technical direction. Full role details: https://github.com/backend-br/vagas/issues/12486

• 6+ years building and running production systems across backend, infrastructure and frontend.
• Strong Python and TypeScript, with the ability to ship clean React interfaces.
• Hands-on production experience with LLM/agent systems: tools, orchestration, prompt/context design, evaluation and failure handling.
• Data engineering: pipelines, time-series and geospatial data at scale.
• AWS or GCP, containers, infrastructure as code, CI/CD and observability.
• Daily use of AI coding tools such as Claude Code or Cursor.
• Ability to scope ambiguous problems and ship independently in a small senior team.

Weather/climate datasets (NetCDF/Zarr, ERA5), pricing or simulation models, insurance/fintech, public APIs and LLM evaluation frameworks.

We care far more about what you have shipped than which exact tools you used.

• Semana de trabalho de 4 dias, 32 horas semanais.
• 100% remoto do Brasil.
• Direct access to the CTO and ownership of architecture and technical direction.
• A small senior team building production AI agents and weather-risk products.

Email josh.graham@weatherwise.studio with subject 'Senior Full-stack Engineer'. Skip the cover letter. Send 2–3 things you have built (links, repo or write-up) and a couple of sentences on what you would change now. If you have built something with agents, lead with that.

We will come back to every application and aim to run the process from first conversation to offer in under three weeks.

Python TypeScript React AI LLM agents data-engineering AWS GCP

• [ ] Alocado
• [x] Remoto
• [ ] Presencial
• [ ] Híbrido

• [ ] Júnior
• [ ] Pleno
• [x] Sênior
• [ ] Especialista

• [x] Full time
• [ ] Part Time
• [ ] Projeto

None