AI Lab Tech Engineer

Indotronix UK

Fremont (CA)

Hybrid

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Indotronix UK in Fremont, CA, is seeking an AI Lab Tech Engineer for a long-term contract. Hybrid work: 2 days onsite, 3 days remote. The role focuses on the execution layer under RL environments to support AI agents in multi-tool worlds for extended periods.

The ideal candidate will apply Python/C++ in a distributed, cloud-based environment using GCP/AWS, with strong systems engineering and collaboration skills. Remote-friendly with office access in Fremont.

Skills

python
c++
GCP
AWS
Documentation
Deployment
Distributed Systems
Welding
Optimization
Containerization
Scheduling
Engines
Translate
Communication
Systems Engineering
Rollout
Reinforcement Learning
VMS
Failure Modes
Automated Machinery
Packaging
Fault Detection
Resource Utilization

Tools

GCP
Amazon Web Services
Documentation
Containerization

Job description

Location: Fremont, CA (Hybrid: 2 days Onsite / 3 days Remote)

Job Type: Long-Term Contract

Role Overview

We are seeking an Infrastructure Engineer to own the execution layer beneath our Reinforcement Learning (RL) environments: the core systems that enable AI agents to operate coherently inside realistic, multi-tool worlds for extended periods. ...

Job Title: AI Lab Tech Engineer Location: Fremont, CA (Hybrid: 2 days Onsite / 3 days Remote) Job Type: Long-Term Contract Role Overview We are seeking an Infrastructure Engineer to own the execution layer beneath our Reinforcement Learning (RL) environments: the core systems that enable AI agents to operate coherently inside realistic, multi-tool worlds for extended periods. ...

City

Remote Job - Yes

Job Code

JPC - 540

Primary Skills
  • python
  • c++
  • GCP
  • Amazon Web Services
  • Documentation
  • Deployment
  • Distributed Systems
  • Welding
  • Optimization
  • Containerization
  • Scheduling
  • Engines
  • Translate
  • Strong Communication Skills
  • Systems Engineering
  • Rollout
  • Reinforcement Learning
  • VMS
  • Failure Modes
  • Automated Machinery
  • Packaging
  • Fault Detection
  • Resource Utilization
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