* Salário: R$ 3.000 a R$ 6.000 por mês (estimado)
* O valor exibido é uma estimativa calculada com base em dados públicos e referências do mercado. Não garantimos que este seja o salário oferecido para esta vaga específica.
Área: Tecnologia da Informação
Nível: Junior
About the Company
Our client is an early-stage B2B SaaS company building intelligent automation software for finance teams. The platform focuses on real-time financial visibility, automated data ingestion, and advanced cost modeling using modern AI techniques.
The company operates in a large and fast-growing market, with strong early customer validation and active design partners. The team is small, product-driven, and focused on building high-quality software for customers who expect robust, enterprise-grade solutions. This role offers meaningful ownership over core systems and the opportunity to shape foundational technology from the ground up.
About the Role
The company is seeking an AI & Data Engineer to develop the intelligence layer of its platform. In this role, you will design and implement systems that transform messy, heterogeneous business data - such as emails, documents, and spreadsheets - into structured financial models.
You’ll work largely from first principles, deploying services to AWS and operating with a strong MVP mindset: prioritizing simple, effective solutions that can be shipped quickly and iterated on. You’ll collaborate closely with a SaaS engineering team to surface extracted insights through a client-facing dashboard.
Strong engineering fundamentals are expected, including version control, testing, CI/CD, and the ability to break complex problems into small, testable increments while communicating clearly with the team.
Responsibilities:
- Build and maintain ETL pipelines for collecting, cleaning, and structuring customer data;
- Implement document ingestion and vectorization workflows
- Apply NLP and LLM-based approaches to extract structured insights from unstructured data;
- Develop unsupervised models to infer financial structures, cost drivers, and relationships;
- Design custom algorithms to align extracted data with organizational hierarchies and financial models;
- Collaborate with frontend and product engineers to present insights in a clear, intuitive way;
- Maintain strong engineering practices around testing, version control, automation, and documentation;
- Optionally contribute to AWS deployments, infrastructure orchestration, and service integration.
Required Skills & Experience
- Hands-on experience with embeddings and vector databases;
- Strong background working with NLP models and large language models (local inference and/or APIs);
- Proven experience building data pipelines and data processing workflows;
- Research-oriented mindset with the ability to design custom solutions beyond off-the-shelf tools;
- Experience deploying and operating systems on AWS;
- Familiarity with automation or data acquisition tools (e.g., workflow automation, scraping, integrations);
- Ability to work independently, iterate quickly, and manage ambiguity;
- Clear communicator who can reason through technical trade-offs;
- Flexibility in working hours when needed.
Nice to Have
- Experience applying AI to finance, analytics, or enterprise data problems;
- Broader cloud or infrastructure experience;
- Familiarity with event-driven systems or microservice architectures;
- Background in unsupervised learning on large, messy, real-world datasets.
We Offer:
- Competitive market salary.
- Fully remote work.
- Convenient and somewhat flexible working hours.
- The chance to work on meaningful products alongside a highly professional, US-based international team.
- Interesting technical challenges with opportunities to grow and learn.
Job Types: Full-time, Contract
Contract length: 24 months
Pay: R$20,000.00 - R$32,000.00 per month
Work Location: Remote