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Forward Deployed ML Engineer

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Helpcare AI

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Location:
United States , New York

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

170000.00 - 190000.00 USD / Year
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Job Description:

Triomics is building the agentic AI layer for oncology EHRs. Cancer hospitals spend billions on highly trained staff manually reading unstructured patient records - pathology reports, clinical notes, genomic panels - to power workflows like trial matching, registry curation, visit prep, and quality reporting. We replace that manual work with task-driven AI agents that sit inside the EMR and process records at scale, in real time. Our platform is trusted by the 4 of the top 10 Best Hospitals for Cancer by U.S.News and several of the largest community practices. We have grown 10x in the last year and process millions of oncology medical documents monthly. Our investors include Lightspeed, General Catalyst, Nexus Venture Partners and Y-Combinator.

Job Responsibility:

  • Design and build agentic extraction pipelines that process 500+ page patient charts and output structured JSON per customer data dictionaries
  • Own accuracy end-to-end: define evaluation datasets, run precision/recall analysis per variable, identify failure modes, and improve through agent architecture changes, prompt engineering, fine-tuning, or rule-based post-processing
  • Go deep into the clinical source data
  • Work with the clinical annotation team to build gold-standard datasets and resolve edge cases
  • Coordinate with customer data science and clinical teams to clarify dictionary definitions, review output quality, and close accuracy gaps
  • Coordinate with internal engineering and infrastructure teams to deploy, scale, and monitor pipelines in production
  • Deliver on customer timelines

Requirements:

  • 2+ years building ML/AI systems in production
  • Built and deployed AI agents or multi-step LLM pipelines (not just single-call wrappers)
  • Strong Python
  • Practical LLM experience: prompt engineering, fine-tuning, RAG, evaluation design
  • Built evaluation frameworks for LLM based document extraction tasks (precision, recall, per-class analysis, error taxonomy)
  • Willingness to become a domain expert in oncology data
  • Comfortable owning customer-facing communication alongside technical delivery
  • Can operate in high-intensity delivery sprints and manage your own time across multiple workstreams

Nice to have:

  • Kept up with the agentic ML landscape - frameworks, patterns, and failure modes in production agent systems
  • Clinical or biomedical NLP is a plus but not required

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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