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Top Benefits

Equity

About the role

Bactrix is looking for a Founding Senior AI Engineer to help shape the core technology behind an AI-driven drug repurposing platform for antimicrobial resistance (AMR) — one of the most urgent, underfunded problems in global health.

This is a hands-on, high-ownership role for someone who genuinely loves building — not maintaining, but inventing. You'll work directly with our founder and science team to push the platform's discovery engine, agent architecture, and reasoning pipeline forward, finding smart, low-cost ways to make the system more capable without needing big infrastructure or big budgets.

What You'll Do

  • Architect and improve our multi-agent AI pipeline (LLMs, RAG, agent orchestration) for pharmaceutical/biomedical discovery.
  • Find creative, resource-efficient ways to increase model capability and accuracy without expensive infrastructure.
  • Collaborate directly with our science team to ensure AI outputs are scientifically grounded and trustworthy.
  • Help define technical direction and architecture as a founding-level technical voice, not just an execution hire.

What We're Looking For

  • Genuine expertise in AI/ML, LLMs, and agentic systems — someone who can innovate, not just implement.
  • Experience in or strong familiarity with pharma, biotech, or life sciences applications of AI.
  • Comfortable operating lean — building smart, cost-efficient solutions at an early-stage startup, not enterprise-scale budgets.
  • A founder mindset: ownership, initiative, and genuine belief in the mission.

Terms

  • Remote
  • Equity-based compensation at this stage (pre-seed); cash compensation and equity terms to be discussed as funding is secured
  • Flexible but meaningful weekly commitment

About Bactrix

Biotechnology Research
11-50 employees

Bactrix is building the AI discovery layer for antimicrobial resistance.

We turn resistant pathogen profiles into ranked, wet-lab-ready drug repurposing dossiers — helping labs, biotech teams, and pharma partners decide which AMR rescue hypotheses deserve validation first.

Not another prediction tool.

A faster path from resistance data to experimental action.

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