Software Engineer (Customer Facing Applied Artificial Intelligence)

Addepar; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Global Hybrid Workforce

Flexible Time Off

Medical/dental/vision benefits with a

Learning & Development Allowance

Dynamic Team

Equity ownership

Job summary

Addepar, Inc. is seeking an Applied AI Engineer to work with our client-facing AI initiatives. You will build agentic systems from idea through production, prototype quickly, and collaborate with engineering to ship capabilities for all customers.

You will design agent behaviors, integrate tools, and refine evaluations to ensure AI works reliably in practice, while aligning with client workflows and product direction.

Qualifications

• Proficiency with Python and data exploration using SQL.
• Experience with LLM APIs (Claude, GPT) including function calling.
• Background building agentic systems and durable workflows.
• Experience with AI-assisted development tools like Claude Code or Codex.
• 2+ years of professional software engineering experience.
• Familiarity with financial data and cloud deployments.

Responsibilities

• Understand client problems, prototype AI solutions, and ship to production.
• Design agent behavior and tool integrations for robust workflows.
• Evaluate AI systems and build test harnesses for correctness.
• Collaborate with core engineering to generalize client work into products.
• Work with LLMs, function calling, and structured outputs in production.

Skills

Python

SQL

LLM APIs

Agentic systems

Software engineering

Zero-to-one development

Java

Cloud infrastructure

Container-based deployments

Education

BS/MS in Computer Science or quantitative field

Tools

Claude Code

Codex

AWS

Job description

• The Applied AI team works embedded with Addepar’s strategic clients to figure out where AI can change how they work and then build those capabilities from scratch
• You’ll spend time understanding a client’s world, identify what’s worth building, prototype it, prove it works, and then 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
• The work starts with understanding the problem well enough to know what to build, then moves fast through prototyping and iteration
• You’ll design agent behavior, wire up tool integrations, tune evaluations until the AI actually works in practice
• You’ll sit close to the people who use what you build, and that feedback loop is how both the product and your skills grow fast
• The team is new
• Your work shapes 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
• 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

Benefits

• Equity: Stretch the idea of ownership beyond your day-to-day and take pride in being an owner in the growth of Addepar
• Global Hybrid Workforce: Whether you work remotely or on-site, you’ll have the opportunity to build and collaborate with colleagues around the world
• Flexible Time Off: Spend time traveling, celebrating with friends and family or relax on your schedule
• Benefits Packages: Competitive medical, dental and vision benefits along with a monthly wellness allowance to keep you healthy and happy
• Learning & Development Allowance: Your continued growth and development are important to us
• Dynamic Team: Strong investment in the best talent at the intersection of technology and finance

• A bias for action.
• You ship quickly, learn from feedback, and iterate.
• Professional experience with Python (the team’s primary language).
• Comfort with SQL for data exploration and building data-grounded AI workflows.
• Experience with AI-assisted development tools (Claude Code, Codex, or similar).
• 2+ years of professional software engineering experience.
• You’ve built something from zero to one.
• You’re drawn to figuring out what to build, not just building what’s specified.
• BS/MS in Computer Science, Mathematics, or another quantitative field, or equivalent experience.
• You see projects through from prototype to production and care about what the client experiences, not what the code does.
• Experience working with LLM APIs (Claude, GPT, or similar) including function calling and structured outputs.
• 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).
• Experience with evaluation frameworks or methodologies for measuring AI system quality.
• Exposure to cloud infrastructure (AWS) and container-based deployments.