Sr. Software Engineer - Customer Facing Applied AI
Addepar1 · Remote, USA
About this role
**Sr. Software Engineer - Customer Facing Applied AI** **Who We Are** Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market, and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. **The Role** The Applied AI team is embedded with Addepar’s strategic clients to identify where AI can change how they work—and then build those capabilities from scratch. You’ll understand a client’s world, identify what’s worth building, prototype it, prove it works, and partner with core engineering teams to ship it as product for all customers. As an Applied AI Engineer, you’ll build agentic systems from idea through production: design agent behavior, wire up tool integrations, and tune evaluations until the AI works in practice. You’ll work closely with the people who use what you build—using that feedback loop to grow both the product and your skills. The team is new, and your work will shape what we ship. *This role may require occasional work outside standard business hours to accommodate client time zones, and up to 15% travel to client sites (including occasional overnight and multi-day engagements).* **What You’ll Do** - Build AI-powered agents and tools end-to-end: identify the problem with clients and domain experts, prototype quickly, evaluate rigorously, and ship to production - Design and implement LLM integrations (prompt engineering, function calling, structured outputs, retrieval-augmented workflows) - Define evaluation criteria and build test harnesses for AI systems where correctness is ambiguous and domain-specific - Work directly with clients to understand their workflows, validate AI behavior, and iterate toward production quality - Partner with core engineering teams to generalize client-specific work into product features - Contribute to shared AI infrastructure (agent frameworks, tool integrations, deployment pipelines) - Monitor and maintain production AI systems with attention to reliability, cost, and performance **Who You Are** - 3+ years of professional software engineering experience - Professional experience with **Python** - Experience working with **LLM APIs** (Claude, GPT, or similar), including function calling and structured outputs - Comfort with **SQL** for data exploration and building data-grounded AI workflows - Experience with AI-assisted development tools (Claude Code, Codex, or similar) - You’ve built something from zero to one—curious about what to build, not just what’s specified - Bias for action: ship quickly, learn from feedback, iterate - You see projects through from prototype to production and care about the client experience - BS/MS in Computer Science, Mathematics, or another quantitative field (or equivalent experience) **Nice to Have** - Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows) - Experience with additional backend languages (Java is valuable) - Familiarity with financial data (portfolios, transactions, securities, accounting) - Exposure to cloud infrastructure (AWS) and container-based deployments - Experience with evaluation frameworks/methodologies for measuring AI system quality **Compensation (Base Salary Range - US)** - **$188,000 — $235,000 USD**
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