Manager Forward Deployed Engineer

Trinity Life SciencesBarrington, RI
5d$145,000Hybrid

About The Position

We are hiring a Manager, Engineering to join our growing team building transformative GenAI‑driven products for commercial Life Sciences. As a forward‑deployed engineer, you will be embedded directly with client teams to rapidly prototype, develop, and iterate on AI solutions that have immediate real‑world impact. This is a unique opportunity for engineers who want to blend hands‑on technical development with direct engagement at leading biopharma organizations. In this role, you will build innovative, first-of-their-kind applications that shape how Life Science companies operate. You will help translate ambiguous commercial challenges into high‑value prototypes that accelerate product adoption and fuel the growth of our GenAI platform portfolio.

Requirements

  • 6-8 years of professional software engineering experience.
  • Strong proficiency in Node.js, React.js, Python, cloud services (Azure/AWS/GCP), and modern engineering patterns.
  • Experience building or integrating AI/ML and GenAI systems.
  • Strong communication abilities and comfort interacting with non‑technical client stakeholders.
  • Ability to work independently in dynamic, client‑facing environments.
  • Bachelor’s degree in Computer Science, Engineering, or related discipline.

Nice To Haves

  • Prior experience working with Life Sciences or Biotech companies strongly preferred.

Responsibilities

  • Partner with client stakeholders to understand commercial use cases and delivering rapid prototypes and proofs‑of‑concept that demonstrate the value of our GenAI product platform.
  • Collaborate directly with commercial and medical affairs teams at top Life Sciences companies to identify unmet needs and in close collaboration with product managers, business leads, and designers, translate them into actionable engineering solutions with outstanding user experiences.
  • Develop high‑quality code, data pipelines, and model integrations that power rapid experimentation.
  • Implement and refine solutions that can turn into scalable, production-ready systems using LLMs, prompt engineering, RAG pipelines, search frameworks, and multi‑modal GenAI capabilities.
  • Conduct demos, gather feedback, and iterate quickly to maximize client adoption and impact.
  • Collaborate with senior engineers, product managers, and designers to transition prototypes into scalable product features.
  • Contribute to engineering best practices, documentation, and shared tooling.
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