Open Application at Avra (São Paulo, Brazil)

Avra· São Paulo, Brazil·6d ago

Role details

Work type

Remote

Employment

Full-Time

Job description

We are always looking for exceptional candidates to join our team.

If none of our open roles are a match, get in touch anyway.

And tell us what you'd do here.

Culture: “Small team, deep stack, real ownership.” Engineers, scientists, and operators own the work end-to-end.
Remote / Hybrid: Remote-first with hybrid options in São Paulo.
Team Background: Colleagues from OpenAI, Stone, Itaú, McKinsey, Embraer, XP, HSBC, Santander.
Perks: Frontier research that ships into production; publish-grade research with real business impact; no contractors on the model path.
Open Roles: 7 positions including Research Scientist, Senior Data Engineer, Staff Software Engineer, Deployment Strategist, Marketing Lead, Enterprise Sales.

One-liner: Avra is a frontier AI lab building a predictive platform for enterprise decisions, powered by a Graph Foundation Model that models the relational economy.
Entity Type: Private (early-stage startup)
Headquarters: São Paulo, Brazil
Founded: 2024
Founders: Bruno Alano (CEO, co-founder) and Viviane Meister (CTO, co-founder)

Primary industry: Enterprise AI / Decision Intelligence (credit, fraud, growth, monitoring)
Target customers: B2B, Enterprise (banks, fintechs, marketplaces, SMB lenders)
Mission: “Model relationships over time. Improve the decision systems enterprises already run.”

Avra Graph Foundation Model: A pre-trained temporal knowledge graph covering Brazil’s economy – companies, individuals, events, ownership, judicial events, geography. Fine-tuned per customer workspace for credit scoring, fraud detection, and propensity modeling.
Avra API & SDK: Managed endpoints (mTLS) for prediction and explanation, with tenant isolation and audit trails.
Avra Playground: Browser-based environment to experiment with decision flows, replay traffic, and inspect evidence.
Enterprise Deployment: Shadow deployments alongside incumbent models, with batch and real-time inference surfaces.

Valuation / Market Cap: Not publicly available
Key Metric: Total funding amount not disclosed; backed by “frontier funds across two continents”
Notable Investors/Partners: Not named explicitly, but investors are described as “frontier funds across two continents”. Team alumni include OpenAI, Stone, Itaú, McKinsey, Embraer, XP, HSBC, Santander.
Growth Signals: Small team (~20 people) with 7 open roles; remote-first with HQ in São Paulo; pilot results showing 1.8× NII on Avra-scored cohort, +90% conversion lift, +5.4 p.p. ROC AUC on held-out test set.

Graph-native reasoning: Models relationships over time rather than flat rows, capturing risk dimensions orthogonal to traditional features (18–22% correlation with existing features).
Inductive generalization: Scores entities never seen before by reasoning through counterparties and graph position.
Brazil-native foundation: Trained on local semantics (CNPJs, corporate groups, informal networks) and legal events.
Developer-first, enterprise-ready: API, SDK, playground, tenant isolation, ISO 27001 in progress, LGPD compliant.

Expand the Graph Foundation Model platform across more enterprise decision use cases (credit, fraud, growth, monitoring).
Grow the team (~20 today) with research scientists, data engineers, and deployment strategists.
Maintain a “small on purpose” approach with deep stack ownership from data ingest to live decision.

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