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 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
Who You Are
Extensive 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
Nice to Have
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
Our Values
Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
Champion Our Clients - Exceed client expectations. Our clients’ success is our success.
Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote “interviews,” and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to ta-operations@addepar.com.
