Manager, AI Software Engineering

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Exa Capital

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

💸 Finance

🏠 Real Estate

🌾 Agriculture

Finance • Real Estate • Agriculture

Exa Capital is a Brazilian alternative investment manager (gestora de investimentos alternativos) that offers a range of investment funds across asset classes. The firm originates and manages funds in real estate (FIIs and development projects), fixed income (active and systematic strategies targeting returns above local benchmarks), agribusiness financing and origination, infrastructure (through incentivized debentures), and sports & entertainment/media rights. Exa emphasizes active origination, risk management, regulatory governance, and provides solutions for individual investors, family offices and institutional/distribution partners seeking diversified exposure to Brazilian credit, real assets and specialty investments.

📋 Description

• Manage AI strategy across a portfolio of companies focused on production-grade AI systems • Work directly with CEOs, CTOs, and VP Engineering leaders as a hands-on player-coach • Define and implement AI-powered software development lifecycle (SDLC) with a focus on AI adoption • Lead a small, high-impact AI engineering team to develop reusable playbooks and frameworks • Collaborate with internal teams to integrate AI solutions that deliver clear business outcomes • Oversee the development of AI coding agents for automation, testing, and code generation • Ensure compliance with data protection standards and establish governance controls around AI use

🎯 Requirements

• Bachelor’s degree in Computer Science or related field; advanced degree preferred • 6–8+ years of software engineering experience with recent hands-on experience • 2+ years of engineering management experience leading individual contributors • Hands-on experience with AI infrastructure and LLMs • Experience building large-scale query processing or distributed systems • Experience hiring and developing engineers • Excellent collaboration and communication skills across global organizations • Experience building coding agents or developer copilots (strongly preferred) • Familiarity with RAG (retrieval-augmented generation) and agent frameworks (strongly preferred) • Prompt engineering and evaluation (strongly preferred) • Experience in regulated industries (finance, healthcare, etc.) (preferred) • Experience in private equity, venture capital, or multi-company environments (preferred)

🏖️ Benefits

• Permanent capital: build AI capabilities designed to last decades, not optimized for exits • Decentralized model: portfolio CEOs own outcomes—you work alongside portfolio leadership to deliver AI outcomes • Access to senior leadership on AI strategy and portfolio priorities • The opportunity to shape what “great AI” looks like across an entire software portfolio • A culture of high standards, low ego, discipline, and intellectual honesty • Visible, tangible impact—your work will influence products, margins, and competitiveness in real time • A chance to help build a new kind of software holding company, with AI as a core advantage