Software Engineer - Customer Facing Applied AI

Addepar is hiring a customer-facing applied AI software engineer to identify client needs and build agentic AI systems from concept through production. The role involves prototyping, evaluating, and deploying AI capabilities, then partnering with core engineering teams to turn client-specific solutions into product features.

Responsibilities

• 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 including prompt engineering, function calling, structured outputs, and 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

Preferred

• Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows)
• Experience with additional backend languages (Java is valuable in our environment)
• Familiarity with financial data (portfolios, transactions, securities, accounting)
• Exposure to cloud infrastructure (AWS) and container-based deployments
• Experience with evaluation frameworks or methodologies for measuring AI system quality
• Agentic Systems
• Multi-Step Tool Use
• Agent Orchestration
• Durable Workflows
• Backend Development
• Java
• Financial Data
• Portfolio Data
• Transaction Data
• Securities
• Accounting
• AWS
• Cloud Infrastructure
• Container-Based Deployments
• Evaluation Frameworks
• Evaluation Methodologies
• AI System Quality Measurement

Benefits

• Bonus
• Equity
• Remote work

Company

• Data and AI platform for investment portfolio management
• New York, New York, USA
• https://addepar.com/
• Founded in 2009
• 1001-5000 employees

Qualifications

• Applicants must be legally authorized to work in the United States for any employer without requiring current or future visa sponsorship (for example, employment-based visas such as H-1B, F-1/OPT, or similar), and must be authorized to begin work in the U.S. on their first day of employment
• 2+ years of professional software engineering experience
• Professional experience with Python (the team's primary language)
• 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
• You're drawn to figuring out what to build, not just building what's specified
• A bias for action
• You ship quickly, learn from feedback, and iterate
• You see projects through from prototype to production and care about what the client experiences, not what the code does
• BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience
• Experience building agentic systems (multi-step tool use, agent orchestration, durable workflows)
• Experience with additional backend languages (Java is valuable in our environment)
• Familiarity with financial data (portfolios, transactions, securities, accounting)
• Exposure to cloud infrastructure (AWS) and container-based deployments
• Experience with evaluation frameworks or methodologies for measuring AI system quality

Required skills

• , LLM APIs, SQL, Claude Code, Codex, Agentic Systems, Java, Financial Data, Container-Based Deployments, AI System Evaluation

Experience

• 2+ years