Remote ML Engineer — LLM/RAG Systems & Scalable AI

Jobgether; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Healthcare

Retirement savings

Flexible time off

Parental leave

Remote work support

Job summary

Jobgether is building advanced AI systems to help users retrieve relevant answers from large online conversations, with fully remote work across the United States.

As a Senior ML Engineer, you will design and deploy production-grade ML systems, enhance RAG components, and optimize latency, cost, and reliability while reducing hallucinations. The role emphasizes collaboration and responsible AI development, with opportunities for professional growth and remote teamwork.

Qualifications

• 4-12 years of production ML experience.
• Strong Python and ML frameworks like PyTorch or TensorFlow.
• Experience with LLMs and RAG systems is preferred.
• Proficient in designing scalable ML systems.

Responsibilities

• Design and deploy production-grade ML systems.
• Improve RAG systems, foundational retrievers, and recommendation models.
• Optimize latency, cost, and reliability while reducing hallucinations.

Skills

Python

LLMs / RAG systems

ML frameworks (PyTorch, TensorFlow)

Tools

PyTorch

TensorFlow

Job description

Jobgether is building advanced AI systems to help users retrieve relevant answers from large online conversations, with fully remote work across the United States.

As a Senior ML Engineer, you will design and deploy production-grade ML systems, enhance RAG components, and optimize latency, cost, and reliability while reducing hallucinations. The role emphasizes collaboration and responsible AI development, with opportunities for professional growth and remote teamwork.