Remote AI Engineer — Scale LLM Pipelines & Tools

Egreenservices; Salinas (CA); Remote; USD 106,000 - 138,000; Full time

Job summary

Consulting Plus Group is seeking a remote AI Engineer to join a documentation-first team based in Salinas, CA. The role emphasizes building and tuning AI/data pipelines with PyTorch and XGBoost, enabling scalable decision-making and dashboards for the technology team.

You will prototype solutions, optimize data flows, and collaborate across teams while thriving in a flexible, results-driven environment. Remote work with mentorship is available, and the position offers compensation in the

Qualifications

• Proficient in data visualization with Matplotlib and related tools.
• Strong collaboration and communication in cross-functional teams.
• Advanced Generative AI capabilities with practical applications.
• 4+ years in AI/ML engineering roles, with hands-on model development.
• Experience working in remote or distributed teams and adapting to flexible environments.
• Proven track record of streamlining processes and improving efficiency in tech workflows.

Responsibilities

• Own the mid-level Decision Making workstream and roadmap in Salinas, CA context.
• Scale data pipelines processing millions of events with PyTorch.
• Prototype proof-of-concept solutions for evolving tech requirements.
• Build PyTorch dashboards to enable data-driven decisions.
• Re-architect data flows to increase system capacity under load.
• Investigate, diagnose, and fix user-reported and monitor-driven issues.
• Tune SQL/database queries and schemas for high-throughput workloads.

Skills

Matplotlib

Collaboration

Generative AI

Remote work

Process improvement

Tools

XGBoost

PyTorch

Job description

Consulting Plus Group is seeking a remote AI Engineer to join a documentation-first team based in Salinas, CA. The role emphasizes building and tuning AI/data pipelines with PyTorch and XGBoost, enabling scalable decision-making and dashboards for the technology team.

You will prototype solutions, optimize data flows, and collaborate across teams while thriving in a flexible, results-driven environment. Remote work with mentorship is available, and the position offers compensation in the