Title: Senior Backend Engineer Start Date: ASAP Location: Primarily remote (optional hybrid in NYC or Chicago) COMPANY OVERVIEW Areté Capital Partners is a boutique, special-situation advisory firm that provides independent fiduciary and stewardship services to companies experiencing significant growth pains, complex organizational change, or existential crisis. Our scope of work includes serving as Board Members, Interim C-Suite Management, Chief Restructuring Officer, and other operationally focused roles, where AI-driven tools and analytics play a pivotal role in optimizing turnarounds and mitigating risks. The Areté team combines decades of professional experience across a multitude of sectors and situations, advising businesses during periods of distress and transition. OPPORTUNITY As an early member of Areté’s newly formed Data & AI team, you will work closely with the Team Lead to build the function from the ground up and scale our client project delivery. Our Data and AI strategy has three pillars: People (internal transformation), Projects (client solution delivery), and Product (SaaS development). You'll primarily focus on the Projects pillar—leading client engagements that solve real business problems through data science and AI—while contributing to our product roadmap by abstracting reusable components from client work. You'll work on high-impact projects across the portfolio of Areté clients. Some projects include SKU rationalization, inventory optimization for retail and CPG clients, and price optimization for entertainment industry leaders. This remote-first role offers significant autonomy, direct client interaction, and the chance to shape both our technical direction and team culture as we grow. RESPONSIBILITIES The Senior Backend Engineer (Data/AI) plays a vital role in delivering transformative data and AI solutions to our clients. Your involvement in initiatives will include, but are not limited to: Client Project Delivery (70%) Lead client projects from discovery through production deployment, owning the full technical lifecycle Interface directly with clients to understand business challenges and translate them into technical solutions Work directly with Areté’s consultants to bring technology to automate and optimize their process and work together to deliver client outcomes Design and build production-ready data science and AI solutions using Python, modern ML frameworks, and agentic AI (Pydantic AI) Travel to client sites (up to 40%) for onboarding, discovery workshops, and strategic engagements Ensure solutions deliver measurable business value and meet success criteria established during discovery Product Development & Technical Assets (20%) Abstract reusable components and patterns from client work into our SaaS product platform Build and maintain scalable, modular codebases that can be deployed across multiple clients Develop data pipelines, ML models, and AI agents that become core product features Establish technical standards, best practices, and documentation for the growing team Contribute to architecture decisions and technical strategy for the Data & AI business unit Team Development & Collaboration (10%) Work closely with the Data Team Lead in a highly collaborative, remote-first environment Eventually mentor and manage junior engineers as the team scales Participate in technical decision-making and help shape the team's culture and processes Contribute to internal knowledge sharing and technical documentation EXPERIENCE/QUALIFICATIONS

• Take ownership of end-to-end development across our platform, with a strong emphasis on delivering high-quality, user-centric experiences • Contribute to system design and architecture, shaping APIs, data models, and service boundaries • Implement and maintain backend services, PostgreSQL databases, and infrastructure • Work across the web layer by building and integrating frontend features, while helping improve performance and test coverage across our applications

• Own features end-to-end — from idea to production • Write clean, scalable, maintainable code • Identify and fix performance and reliability bottlenecks • Work closely with product and ops to ship pragmatically, not perfectly

• Designing and owning core backend architecture in Rust (async-first) • Defining service boundaries, data ownership, and evolution strategy • Designing scalable APIs (REST and/or GraphQL) for mobile and web clients • Modeling and operating PostgreSQL as a long-term source of truth • Architecting real-time systems (feeds, messaging, event-driven workflows) • Making tradeoffs around consistency, latency, and scalability • Working with DevOps while retaining backend architectural authority • Reviewing critical code paths and preventing premature complexity • Helping shape the backend team as the company grows