AI Distributed Systems Engineer - On-Site SF, Equity

Epic Placements; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Comprehensive Benefits

On-Call Bonus

Job summary

Epic Placements is hiring a backend/distributed systems engineer in San Francisco to build and own the data, orchestration, and infrastructure layer for a continuously running AI platform. You will design resilient systems for large-scale data processing and turn probabilistic AI outputs into reliable, structured data.

The role requires 3+ years in backend or distributed systems, strong Python and AWS production experience, and a willingness to work on-site in San Francisco, CA.

Qualifications

• 3+ years of experience in backend or distributed systems engineering.
• Strong production Python and AWS skills.
• Experience operating systems at terabyte-to-petabyte scale.

Responsibilities

• Build and own the data, orchestration, and infrastructure layer for a scalable AI platform.
• Design resilient systems for large-scale data processing and reliable data outputs.
• Collaborate with AI and data teams to improve system reliability and performance.

Skills

Python

Distributed Systems

AWS

Infrastructure As Code

ETL Pipelines

Data Platform Engineering

Large-scale Data Processing

System Architecture

Observability Tools

Workflow Orchestration

Vector Databases

PostgreSQL

Job description

Epic Placements is hiring a backend/distributed systems engineer in San Francisco to build and own the data, orchestration, and infrastructure layer for a continuously running AI platform. You will design resilient systems for large-scale data processing and turn probabilistic AI outputs into reliable, structured data.

The role requires 3+ years in backend or distributed systems, strong Python and AWS production experience, and a willingness to work on-site in San Francisco, CA.