Senior ML Engineer — Agentic AI & Multi-Agent Systems (NYC)

Zest for Tech

New York (NY)

On-site

USD 170,000 - 250,000

Full time

2 days ago
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Benefits offered by this job

Equity
Unlimited PTO
Learning & development allowance
Full healthcare

Job summary

Zest for Tech in New York City is seeking a Senior Machine Learning Engineer for a three-day-per-week, in-office role in Lower Manhattan, with compensation up to $250k. The team is scaling agentic systems and shipping production-grade AI capabilities for a rapidly growing startup backed by top-tier VCs.

You will own core AI platform capabilities across search, retrieval, and multi-agent architectures; build document processing pipelines; advance knowledge graphs; and lead AI initiatives from

Qualifications

  • 7+ years building and deploying ML/AI systems in production.
  • Experience with agentic systems and LLM applications.
  • Hands-on experience with document processing pipelines and knowledge graphs.

Responsibilities

  • Take ownership of core AI platform capabilities spanning search, retrieval, and multi-agent systems.
  • Lead the design and development of multi-agent architectures and collaboration patterns.
  • Build and scale document processing pipelines from ingestion to extraction.
  • Enhance search and retrieval through ranking, query understanding, and QA.
  • Grow knowledge graph capabilities that support reasoning and relationships.
  • Lead high-impact AI initiatives from concept to production rollout.
  • Write production-grade code and shape engineering best practices.

Skills

ML in production
Agentic systems
LLM applications
Orchestration frameworks
Document processing pipelines
Python/Go
Data-driven decisions
Distributed systems

Tools

Kubernetes
Knowledge graphs
Provenance graphs
Entity relationship modeling

Job description

Zest for Tech in New York City is seeking a Senior Machine Learning Engineer for a three-day-per-week, in-office role in Lower Manhattan, with compensation up to $250k. The team is scaling agentic systems and shipping production-grade AI capabilities for a rapidly growing startup backed by top-tier VCs.

You will own core AI platform capabilities across search, retrieval, and multi-agent architectures; build document processing pipelines; advance knowledge graphs; and lead AI initiatives from

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