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M
Tech Lead, Systems & Platform Applied AI
Mercor San Francisco, CA, USA
$250K – $500K /yearFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.New
Engineeringbackendllmairflow3 hours ago
D
Senior Staff Software Engineer, AI Runtime
Databricks Mountain View / San Francisco, CA, USA
$229K – $343K /yearFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.New
Engineeringmegatrongpuhpc3 hours ago
K
Staff AI Software Engineer
Kueski Remote (Mexico), Guadalajara
Not specifiedFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.New
Engineeringguardrailsllmmlopsyesterday
D
AI Research Scientist, Datadog AI Research
Datadog New York, NY, USA
$320K – $400K /yearFound by AICareersOnly. Our team found this opening on the company's official careers page. You apply directly with the employer.
Researchagentsfoundation-modelsresearch2 weeks ago

M

Tech Lead, Systems & Platform Applied AI

at MercorSan Francisco, CA, USA

Apply now

$250K – $500K /yearFound by AICareersOnlyOn-siteFull-timeLead / StaffEngineering

78

AI Signal

Job overview

About the role

Mercor's Applied AI organization builds the backend systems that turn human expertise into training data, task pipelines and evaluation infrastructure for frontier models. As Tech Lead for backend systems, you'll own architecture, ship the hardest parts yourself, and mentor other engineers, working onsite in San Francisco.

What you'll do

Own the architecture of core services, data models, orchestration and pipeline execution layers used across the org
Scope ambiguous problems, write the designs, ship to production and keep systems healthy
Build high-throughput data and job pipelines with queuing, batching, idempotency, retries and backpressure
Manage infrastructure as code with Terraform, running large volumes of containers and sandbox environments
Set the design review bar, mentor senior engineers, participate in on-call and write incident analyses

Requirements

8+ years of backend engineering building and operating production systems, with cross-team architecture ownership
Strong API design (REST, gRPC or GraphQL), relational modeling, indexing, transactions and safe migrations
Deep distributed systems experience: queues, caching, rate limiting, designing for partial failure
Workflow orchestration tools such as Airflow, Temporal or Dagster; containers, CI/CD, monitoring
Comfort with ambiguity, clear communication and fluency with modern AI dev tools; LLM-backed services a plus

backendllmairflowterraformdistributed-systemsdatabasesapi-designobservability

Posted 3 hours ago

Find your next AI role

Find your next AI role

Tech Lead, Systems & Platform Applied AI

Senior Staff Software Engineer, AI Runtime

Staff AI Software Engineer

AI Research Scientist, Datadog AI Research