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Prudentia Sciences

AI-driven life sciences due diligence platform

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of software engineering experience, including meaningful client-facing, forward deployed, solutions engineering, or technical consulting experience shipping code clients depended on.
  • Strong full-stack or backend engineering skills, including Python, SQL, APIs, integrations, and the ability to work across a modern web stack.
  • Hands-on AWS experience deploying and operating production systems, with the ability to reason about security, networking, and cost in client environments.
  • Practical experience with LLMs and AI applications, including retrieval, prompting, extraction, and evaluation, and judgment about whether outputs are appropriate for client use.
  • Ability to communicate with technical and non-technical audiences, including leading working sessions with scientists or investors and explaining tradeoffs to engineers.
  • Ability to work with ambiguity and take ownership when client problems are not fully specified.

Responsibilities

  • Lead the technical side of client onboarding and deployment from discovery and scoping through go-live and expansion.
  • Integrate the platform with client systems and data, including internal databases, data rooms, document repositories, licensed datasets, and identity providers, while meeting client security and compliance requirements.
  • Build client-specific workflows, configurations, models, and extensions on the AWS-based platform to production standards.
  • Apply AI capabilities, including LLMs, retrieval, extraction, scenario modeling, and risk modeling, to client-specific questions and assess output accuracy and defensibility.
  • Partner with the data team to onboard client and third-party data sources and establish provenance and quality standards.
  • Build evaluations and guardrails for client use cases to measure quality.
  • Bring patterns, gaps, and requests from the field to engineering and product with actionable technical detail.
  • Turn repeated one-off solutions into reusable components, templates, and platform features, contributing to the core codebase.
  • Help determine what should be productized, remain configurable, or be declined.
  • Serve as the technical point of contact for accounts, supporting day-to-day users and executive sponsors.
  • Support pre-sales technical discovery, pilots, and proofs of value with strategic prospects.
  • Help build the forward deployed playbook and shape the growing team.

Desired Qualifications

  • Experience with enterprise integration patterns, including SSO/SAML, data room APIs, data pipelines, and security questionnaires.
  • Experience at an early-stage or high-growth startup helping define a function.

About the Company

Prudentia Sciences

AI-driven life sciences due diligence platform

Prudentia Sciences provides an AI-native platform for due diligence and dealmaking in the life sciences sector, serving biopharma, biotech, and financial buyers such as venture capital and private equity firms. The platform merges artificial intelligence (including large language models and deep learning) with scientific expertise and financial modeling to speed asset evaluation, offering rapid data-room synthesis, real-time valuation simulations, and scenario planning with a human-in-the-loop for expert input. It differentiates itself by tightly integrating AI analytics with domain knowledge and financial modeling to identify risks and optimize trade-offs across time, cost, probability of success, and revenue, enabling faster go/no-go decisions. Its goal is to de-risk investments, shorten deal cycles, and scale the platform globally, expanding into Asia-Pacific and Europe with backing from seed and Series A funding led by GV, Iaso Ventures, Virtue, and McKesson Ventures.

Company size
11-50
Company stage
Series A
Total funding
$27M
Headquarters
Cambridge, MA
Founded
2023

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