Applied AI Engineer, Customer-Facing Solutions

Addepar, Inc.; Mountain View (CA); On-site; USD 188,000 - 235,000; Full time

Job summary

Addepar is seeking an Applied AI Engineer to join the AI team embedded with strategic clients. You will understand client needs, prototype capabilities, and work with core engineering to ship features for all customers. You will design agent behavior, wire tool integrations, and iterate toward production quality.

The role requires 3+ years of software experience, Python, and experience with LLMs. Occasional after-hours and travel up to 15% to client sites may be needed.

Qualifications

• 3+ years of professional software engineering experience.
• Proficiency in Python.
• Experience with LLM APIs and function calling.
• SQL for data exploration.
• Experience with AI-assisted development tools.
• BS/MS in CS, Math, or equivalent.

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

Skills

3+ yrs exp

Python

LLM APIs

SQL

AI development tools

Zero to One

Bias for action

Prototype to production

CS/Math or equivalent

Education

BS/MS in CS/Math or equivalent

Job description

Addepar is seeking an Applied AI Engineer to join the AI team embedded with strategic clients. You will understand client needs, prototype capabilities, and work with core engineering to ship features for all customers. You will design agent behavior, wire tool integrations, and iterate toward production quality.

The role requires 3+ years of software experience, Python, and experience with LLMs. Occasional after-hours and travel up to 15% to client sites may be needed.