aimlroles

Helix AI Engineer, Backend

Figure figure.ai Open · verified Oct 22, 2026
San Jose Mid-level AI Engineering

At a glance

Mid-level AI Engineering role at Figure. San Jose · $200,000–$400,000 base.

SalaryStated by Figure
$200,000 – $400,000
Base salary for this role, in USD per year, as published in the posting.
This role, from FigureOur estimate for the market: $162,369–$300,000Median $191,638
Above the market median of $191,638 for mid-level AI engineering roles in San Jose.
Worked out from 8 postings that stated pay, median $191,638. Last updated Oct 9, 2026.
RoleAI Engineering
SeniorityMid-level
LocationSan Jose
Base pay$200,000–$400,000
PostedMay 28, 2026 · 4mo ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build the authentication and identity service, including its KYC connection
  • Create payment systems for payouts, transactions, disputes and reconciliation
  • Run media intake and delivery for large volumes of incoming data
  • Own cloud environments, infrastructure code, deployment pipelines, monitoring and spend
  • Deliver push, SMS and email notifications, plus dashboards for tasks, supply and quality

What you bring

  • At least five years building production backend systems that operate at scale
  • Strong grounding in distributed systems, including APIs, queues, storage and event-driven design
  • Practical experience with payments, billing or fintech systems, including moving money reliably
  • Hands-on cloud and infrastructure work with AWS or GCP, Terraform or similar, containers and CI/CD

Who this fits

This mid-level backend role suits someone who can own services and infrastructure from design through operation, with experience handling real-money transactions. The position is based in San Jose, California.

From the employer

Figure is an AI robotics company developing autonomous general-purpose humanoid robots. The goal of the company is to ship humanoid robots with human level intelligence. Its robots are engineered to perform a variety of tasks in the home and commercial markets. Figure is headquartered in San Jose, CA.

We're looking for a backend engineer to build the services and infrastructure behind Figure's consumer mobile application, including auth, payments, and tooling.

You'll own systems end to end, from identity and billing to delivery pipelines, internal dashboards, and the cloud platform they run on.

Responsibilities:

  • Design and build the core auth and identity service, including KYC integration.

  • Build payments and billing infrastructure: payouts, transactions, disputes, and reconciliation.

  • Own the media ingestion and delivery pipeline for high-volume data ingestion.

  • Own the cloud platform: environments, infrastructure as code, CI/CD, observability, and cost.

  • Ship the notification system across push, SMS, and email.

  • Build the web interface and dashboards that give the business visibility into tasks, supply, and quality.

Requirements:

  • 5+ years building production backend systems at scale.

  • Strong distributed systems fundamentals: APIs, queues, storage, and event-driven architecture.

  • Hands-on experience with payments, billing, or fintech infrastructure.

  • Hands-on infrastructure experience: AWS or GCP, Terraform or similar, containers, and CI/CD.

  • Proficiency in Go, Python, or similar.

  • Experience shipping systems that move real money for real users, with the reliability bar that implies.

Bonus Qualifications:

  • Marketplace or gig platform experience (Uber, TaskRabbit, DoorDash, or similar).

  • Fintech background (Square, Stripe, DailyPay, or similar).

  • Experience with media storage and processing pipelines at scale.

  • Experience as the first or only infrastructure owner on a small team.

The US base salary range for this full-time position is $200,000 - $400,000 per year.

The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.