aimlroles

AfterQuery - Senior Infrastructure Engineer, Applied AI

deCircle Open · verified Oct 22, 2026
On-site San Francisco Senior AI Engineering

At a glance

Senior AI Engineering role at deCircle. San Francisco · $250,000–$350,000 base.

SalaryStated by deCircle
$250,000 – $350,000
Base salary for this role, in USD per year, as published in the posting.
This role, from deCircleOur estimate for the market: $205,000–$277,500Median $232,500
Above the market median of $232,500 for senior AI engineering roles in San Francisco.
Worked out from 53 postings that stated pay, median $232,500. Last updated Oct 21, 2026.
RoleAI Engineering
SenioritySenior
LocationSan Francisco
WorkplaceOn-site
Base pay$250,000–$350,000
PostedOct 12, 2026 · 10d ago
Role brief

aimlroles summary, based on the employer's posting.

What you'll do

  • Build shared infrastructure for data generation, human-in-the-loop systems and evaluation pipelines
  • Strengthen core systems so they can handle growth and stay dependable
  • Create platforms and services that vertical engineering teams can use
  • Design distributed systems for workloads with high throughput and large scale
  • Set engineering practices and guide junior teammates

What you bring

  • You have six to ten years in platform infrastructure, along with full-stack engineering capability
  • You have delivered systems built for scale, reliability and heavy throughput
  • You can work with Node.js, Python, Kubernetes or another listed tool

Who this fits

This senior role suits an engineer who can build platform infrastructure and mentor junior teammates. You’ll work on-site five days a week in San Francisco’s FiDi area. Visa transfers are available for OPT and H1B.

From the employer

AfterQuery: novel datasets and data infrastructure for frontier AI labs (85 people, $34M raised, SF).

Comp: $250K-$350K base (OTE $300K-$450K (bonus up to $100K)) + competitive equity. Location: On-site 5 days, FiDi SF. Visa: Visa transfers (OPT, H1B).

Responsibilities

  • Design/build core shared infra for data generation, HITL systems and eval pipelines

  • Own foundational systems for scale and reliability

  • Provide platform/services to vertical eng teams

  • Architect distributed systems for large-scale, high-throughput workloads

  • Set eng best practices; mentor the junior team

Tech stack: Node.js, Python, Kubernetes, Kafka, Redis, Elasticsearch, AWS, GCP

Source: https://www.paraform.com/share/afterquery/cmox601tw00110dlkapdfla2j

  • 6-10 yrs platform infrastructure with full-stack capability

  • Scalable, reliable, high-throughput systems track record

  • Node.js, Python, Kubernetes, Kafka, Redis, Elasticsearch, AWS/GCP

  • Mentoring; HITL data or high-growth startup a plus

  • On-site 5 days FiDi SF