Forward Deployed Engineer

EQTR•New York City, NY

About The Position

Forward Deployed Engineer About Equator We're a next-generation AI-native solution rethinking how information flows through the most complex and high-stakes organizations in the world, biopharma and biotech. We’re building the system of record for scientific collaboration: a knowledge platform where insights, strategy, and decision-making come together in one place. Imagine if Veeva, Notion, and Git had a child but purpose-built for the teams shaping the future of launch excellence. Our mission is to accelerate the most important research in the world extending and preserving human lives. This work starts in biopharma where we tackle the extreme knowledge complexity in clinicals, regulatory affairs, and commercial operations. About the Role This is an applied engineering role focused on building the tangible reality of our mission. While our systems engineers build the core ⁠git-like primitives, you are the one who wields them. You will build the robust data pipelines and AI agent configurations that solve our customers' most acute information challenges. Your work is to connect the customer's fragmented universe of data from legacy CRMs and internal documents to public APIs like PubMed into our single, coherent knowledge graph. You won’t be just building dashboards or fine-tuning models in a lab. You'll be deploying end-to-end systems that directly enable AI to contribute to a drug launch, making human-AI collaboration a concrete, productionized reality.

Requirements

  • Strong software engineering fundamentals, particularly in Python.
  • Experience building, testing, and deploying robust data applications in a cloud environment (GCP/AWS).
  • Deep experience building resilient pipelines that consume data from a mix of modern APIs and messy, legacy data sources.
  • Hands-on experience wrangling data and structuring data for practical information extraction, classification, and synthesis in a production context.
  • Product-Minded: You are obsessed with the user's problem and can think through the entire system to deliver a solution.
  • Excellent collaborator with non-technical partners.
  • Bias for Shipping: You are driven to get working solutions into the hands of users, learn from the results, and iterate quickly.
  • Thrive with a high degree of autonomy and ownership.

Nice To Haves

  • You know how to handle the edge cases.
  • You understand the difference between a demo and a reliable system.

Responsibilities

  • Build Knowledge Pipelines: Architect and write the code to ingest, parse, and structure data from a diverse set of sources (e.g. Veeva CRM exports, ClinicalTrials.gov , unstructured scientific literature).
  • Implement AI Agents: Configure and deploy our AI agents to perform specific knowledge work such as identifying emerging key opinion leaders from publication data or flagging contradictions in regulatory documents.
  • Model the Domain: Partner with a Deployment Strategist to translate their abstract knowledge maps into scalable data models, schemas, and pipelines within the Equator platform.
  • Own the Integration: You will be the technical point person for our design partners, responsible for the full lifecycle of the integration from initial build to ongoing performance and reliability.
  • Pressure-Test the Platform: Your work on the front lines will provide the critical feedback loop to our core engineering team, helping to harden and improve the underlying primitives of Equator.
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