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Edison Scientific

AI platform for scientific R&D workflows

Forward Deployed AI Engineer

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

About the Job

Requirements

  • At least 2 years of professional software engineering experience, including a track record of shipping production-grade software in fast-paced or ambiguous environments.
  • Strong proficiency in Python and/or TypeScript/JavaScript, with deep fundamentals.
  • Hands-on experience building and deploying LLM-powered or agentic AI systems in production, including prompt engineering, retrieval-augmented generation pipelines, model evaluation, and orchestration frameworks.
  • Ability to reason through systems architecture, debug at the infrastructure level, and independently write clean production code without relying on AI-assisted coding tools.
  • Comfort with 20–40% travel at peak times, operating independently, making decisions with incomplete information, and driving outcomes without close oversight.
  • Problem-solving ability, including navigating complex systems, debugging issues in real time, and owning features end to end.
  • Communication and relationship-building skills to earn trust with scientists, executives, and engineering teams.
  • Curiosity about science and willingness to learn new scientific domains quickly and adapt to rapidly evolving priorities.
  • A degree in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field, or equivalent demonstrated depth through professional experience.

Responsibilities

  • Translate complex scientific and operational requirements into a delivery roadmap, from initial discovery through scaled production deployment.
  • Embed with R&D teams, understand their research workflows, and drive and own the value delivered to partners.
  • Map customers’ scientific and operational environments to identify where AI agents can have the greatest impact.
  • Design, implement, and iterate on production-ready integrations in fast cycles, often owning features end to end from architecture to rollout.
  • Troubleshoot and debug issues in real time, ensure reliability and adoption, and serve as the go-to technical contact for AI within client organizations.
  • Capture pain points, unmet needs, and product gaps, and work with internal Applied AI and engineering teams to shape future capabilities.
  • Partner with go-to-market teams and account executives to scope engagements, define success metrics, and support pre-sales technical evaluation.

Desired Qualifications

  • Experience in life sciences, pharma, biotech, or scientific R&D as a researcher, consultant, or engineer working in these environments.
  • Familiarity with regulated data environments, including GxP, HIPAA, 21 CFR Part 11, or equivalent compliance frameworks.
  • Background as a technical founder, forward-deployed engineer, or management consultant.
  • A science degree or research experience alongside engineering skills.

About the Company

Edison Scientific

AI platform for scientific R&D workflows

Edison Scientific provides an AI-powered platform that unifies research tasks in one environment. It combines literature synthesis, data analysis, molecular design, and the creation of publication-ready figures and reports so researchers can move from hypothesis to validated results without switching between many tools. The platform uses natural language processing and machine learning to digest scientific literature and data, automate workflows, and run tasks in parallel to speed up discovery. Compared with competitors, Edison Scientific stands out by offering an integrated, end-to-end R&D workflow that links literature, data, and design in a single platform, reducing manual handoffs and enabling scalable research. The company’s goal is to streamline R&D processes, shorten the time to insight, and help organizations rapidly validate findings and publish their work.

Company size
51-200
Company stage
Seed
Total funding
$70M
Headquarters
San Francisco, CA
Founded
2025

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