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Formation Bio

AI-driven platform accelerates clinical-stage drug development

Senior Software Engineer

AI Application Engineering +1Confirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • At least 5 years of experience building and shipping production software, or equivalent senior-level experience.
  • Strong backend and systems engineering fundamentals, including APIs, distributed systems, databases, cloud services, and asynchronous workflows.
  • Daily experience using AI tools, large language models, or agentic development systems as part of the engineering workflow.
  • Strong product judgment and the ability to make progress with incomplete information, identify high-value problems, and adapt quickly as priorities change.
  • Experience operating production software with appropriate testing, observability, security, and follow-through after launch.
  • Full-stack range, with a primary emphasis on backend, systems, product, and AI engineering.
  • Experience in pharmaceutical, biology, and/or biotechnology software and data is a strong plus.
  • Experience building AI-enabled software, agentic workflows, retrieval systems, tool integrations, or other machine-learning-powered products is a strong plus.
  • Familiarity with machine-learning concepts such as training versus inference, embeddings, retrieval, evaluation, data quality, and model limitations is a plus; deep machine-learning research experience is not required.

Responsibilities

  • Own meaningful product or platform outcomes from problem definition through design, implementation, launch, and iteration.
  • Build and operate production services, APIs, integrations, databases, asynchronous workflows, and distributed systems.
  • Build software for people, applications, AI-enabled employees, and agents, including the tools, APIs, permissions, state, observability, and failure handling required for reliable use.
  • Design and ship AI-enabled and agentic workflows, including tool use, retrieval, data access, evaluation, and appropriate human review.
  • Use large language models and agentic coding systems daily for exploration, prototyping, implementation, testing, debugging, documentation, and automation while maintaining a high bar for validation.
  • Partner with Data Engineering on application data models, data products, data contracts, and access patterns.
  • Partner with Data Science on machine-learning-powered capabilities, model interfaces, evaluation, and production integration.
  • Partner with Site Reliability Engineering on deployment, reliability, observability, security, and infrastructure decisions.
  • Make pragmatic tradeoffs between speed, quality, maintainability, and future flexibility, using engineering rigor proportional to the risk and context of the system.
  • Reprioritize quickly as new information changes the highest-value path, and communicate decisions and tradeoffs clearly to technical and non-technical partners.
  • Review designs and code, mentor engineers, and raise the bar for product judgment and engineering quality.

About the Company

Formation Bio

AI-driven platform accelerates clinical-stage drug development

Formation Bio uses an AI-driven platform to speed up drug development by focusing on clinical-stage assets. It acquires and advances these assets using flexible financing structures, aiming to shorten timelines and cut costs for bringing new drugs to market. The core product is the proprietary AI tools that help with drug selection, development planning, and improving overall efficiency, enabling partnerships and successful commercialization with pharmaceutical and biotech companies. Compared with competitors, Formation Bio combines a data-powered approach with adaptable financing and asset acquisition strategies to move assets forward quickly and cost-effectively. The goal is to make treatments more accessible and affordable by accelerating development and enabling faster, more predictable commercialization through AI-enhanced decision making and flexible funding options.

Company size
51-200
Company stage
Series D
Total funding
$530.3M
Headquarters
New York City, New York
Founded
2013

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