Associate AI Engineer

Figure

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
—
Salary
$80,000–$120,000 / yr
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $166k
This role $100k
$64k $228k
below market most similar roles pay here above market

This role pays less than 93% of similar roles. Most pay $129,555–$202,800 — the blue band above. At the midpoint, this role pays about $100k versus about $166k for comparable roles.

Based on 240 similar postings.

Employer

About Figure

Figure Technologies is a financial technology company that uses blockchain technology to offer home equity lines of credit (HELOCs), mortgage refinancing, and other lending products with faster approval times. Industry: Financial Technology & Lending

View all roles at Figure

At a glance

TL;DR · Associate AI Engineer

The Associate AI Engineer joins the AI Engineering team to operate and improve production conversational AI systems. This role involves managing AI-powered chat and voice services for customer service and lending workflows while developing into a full-stack AI engineer. Key responsibilities include building agent workflows, API integrations, data pipelines, and automated tests to ensure system reliability, security, and observability. The successful candidate will use Python and SQL to develop services, internal tools, and evaluation frameworks. The work focuses on solving technical challenges in conversational AI, such as managing retrieval rules, establishing production-release practices, and translating business knowledge into deterministic code or LLM behaviors. This position requires strong programming fundamentals to support the technical operation of AI systems within a regulated financial services environment.

What does a AI Engineer earn?

Median $211200 from 126 postings across 36 companies.

See salary data

What you'll do

  • Improve AI-powered chat and voice services for customer service and lending workflows.
  • Build and maintain agent workflows, API integrations, guardrails, and retrieval rules.
  • Develop Python services, APIs, and data pipelines to support production AI systems.
  • Build automated tests and simulations to measure conversational workflow quality and task completion.
  • Analyze production failures and turn evidence into prioritized system improvements.
  • Implement deterministic validation and security protocols for sensitive operations and customer data.
  • Design controlled experiments and incremental rollouts to measure business outcomes.
  • Maintain auditability for workflow changes and production behavior.

What we're looking for

  • Must have strong programming fundamentals and practical Python experience.
  • Must have working knowledge of SQL and structured data analysis.
  • Must have the ability to break ambiguous problems into testable components and read unfamiliar code.
  • Must have strong written communication skills and an interest in AI behavior and backend systems.
  • Experience building an API, backend service, automation, data pipeline, or internal tool (preferred).
  • Experience evaluating LLMs, conversational agents, or other probabilistic systems (preferred).
  • Knowledge of experimental design, statistics, causal inference, or applied econometrics (preferred).
  • Degree or research background in economics, computer science, statistics, engineering, or another quantitative discipline (preferred).

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