Senior ML Engineer — Remote, Scale Multi-Agent AI Platform

Zest for Tech

United States

On-site

USD 170,000 - 230,000

Full time

14 days+
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Benefits offered by this job

Fully covered healthcare
Unlimited PTO
Annual allowance for learning and development

Job summary

Zest for Tech is looking for a Senior ML Engineer to join their remote team. In this pivotal role, you will shape advanced agentic systems at a Series B backed startup where product-market fit has been proven. Responsibilities include evolving core AI platform capabilities and leading the development of scalable architectures across search and retrieval systems.

The ideal candidate will have over 7 years of experience in building and deploying production ML systems, with a strong focus on software engineering skills in Python or Go, along with a competitive salary package that ranges from $170k to $230k plus equity.

Qualifications

  • 7+ years of experience building and deploying production ML/AI systems.
  • Strong expertise in agentic systems and orchestration frameworks.
  • Deep experience with document processing pipelines including parsing and indexing.
  • Hands-on experience designing scalable distributed systems, ideally with Kubernetes.
  • Strong software engineering skills in Python or Go.

Responsibilities

  • Own and evolve core AI platform capabilities across search and retrieval.
  • Design and lead the development of multi-agent architectures.
  • Build and scale document processing pipelines for structured data extraction.
  • Drive high-impact AI initiatives from concept to production deployment.
  • Write production-grade code and contribute to best engineering practices.

Skills

Building and deploying production ML/AI systems
Agentic systems expertise
Document processing pipelines
Scalable distributed systems knowledge
Search and ranking systems
Software engineering in Python or Go

Job description

Zest for Tech is looking for a Senior ML Engineer to join their remote team. In this pivotal role, you will shape advanced agentic systems at a Series B backed startup where product-market fit has been proven. Responsibilities include evolving core AI platform capabilities and leading the development of scalable architectures across search and retrieval systems.

The ideal candidate will have over 7 years of experience in building and deploying production ML systems, with a strong focus on software engineering skills in Python or Go, along with a competitive salary package that ranges from $170k to $230k plus equity.

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