---
title: 'Forward Deployed Engineer at Avra'
canonical: 'https://feeny.ai/job/forward-deployed-engineer-avra-sao-paulo-6qzpv1vsn8t5'
type: 'job'
last_seen: '2026-09-26'
---

# Forward Deployed Engineer at Avra

- **Company:** Avra
- **Location:** São Paulo, Brazil
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-21
- **Last confirmed live:** 2026-09-26
- **Apply:** https://jobs.ashbyhq.com/avra/d114509b-df56-411a-9e1e-b0aa1ffe9348

## Job description

## About the role

We're looking for a Forward Deployed Engineer with a data science background and experience in real-world enterprise decision-making. You'll work directly with clients to deploy AI solutions that transform how they make high-stakes decisions: who to lend to, who to acquire, who to trust. This is a role for someone who understands a customer's business problem as well as they understand APIs, and who can translate an operator's pain into a working prototype.

## What you'll do

- Work embedded with clients to deeply understand their decision workflows, data infrastructure, and operations — identify the real pain points and shape them into actionable use cases for Avra's platform.
- Build and deploy AI-powered solutions across Avra's core applications: credit and risk, customer acquisition, and fraud.
- Assess the quality and accuracy of customer data alongside them, ensuring Avra's Data Platform team is set up to consume the right data in the right way.
- Work hand-in-hand with a Deployment Strategist who turns your technical insight into the business solution the customer needs, at speed. You're one half of a double act.
- Translate business requirements into technical specs, and technical outputs into business narratives that clients actually understand.
- Be part of Avra's FDE cohort — benchmark across use cases, share learnings, and sharpen each other's work. You are a domain specialist, but you'll have a Data Science pair, a cohort of FDEs around you, and a direct line into how Product builds.
- Bring insight from the field back to Avra's product and engineering teams. Drive quick iteration based on real-world usage and feedback, improving our existing solutions and shaping future product offerings.
- Bridge the gap between experts and executives — communicate effectively with data specialists and operational teams as well as C-level stakeholders. Translate detail into business impact, and vice versa.

## What we're looking for

- Background in statistics, econometrics, or data science (degree or equivalent practical experience).
- 2+ years of hands-on experience solving real business problems with data — in credit, risk, fraud, growth/acquisition, or an adjacent decision-heavy domain. You've shipped work that drove decisions, not just studied it.
- Proficiency in Python and SQL; comfort working with APIs and basic software engineering concepts (version control, deployment, testing).
- Familiarity with real-world data structures and the messiness of production data.
- Experience with experimentation and causal inference: A/B tests, incrementality, quasi-experimental methods.
- Strong communication skills — you can present a model's business impact to a CFO, CRO, or Head of Risk without their eyes glazing over.

## Nice to have

- Previous experience at a fintech or high-growth technology company.

Location São Paulo — hybrid, with in-person time at customer sites.

## Why this role is different

You won't be sitting behind a dashboard. You'll be in the room with leaders, understanding their problems firsthand, and building solutions that ship in weeks, not quarters. If you're the kind of person who gets frustrated when data science stays in a notebook and never reaches production — this is your role.

## About Avra

## Company Overview
- **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)

## Core Business
- **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.”

## Products & Services
- **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.

## Market Standing
- **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.

## Competitive Advantages
- **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.

## Strategic Focus
- 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.

## Why Work 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.

## Sources
1. [avra.ai/about](https://avra.ai/about)
2. [avra.ai/careers](https://avra.ai/careers)
3. [avra.ai](https://avra.ai/?r=0)
4. [avra.ai/en/about](https://avra.ai/en/about)
5. [jobs.ashbyhq.com/avra](https://jobs.ashbyhq.com/avra)

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