Job description

About Formation Bio Formation Bio is a tech and AI driven pharma company differentiated by radically more efficient drug development. Advancements in AI and drug discovery are creating more candidate drugs than the industry can progress because of the high cost and time of clinical trials. Recognizing that this development bottleneck may ultimately limit the number of new medicines that can reach patients, Formation Bio, founded in 2016 as TrialSpark Inc., has built technology platforms, processes, and capabilities to accelerate all aspects of drug development and clinical trials. Formation Bio partners, acquires, or in-licenses drugs from pharma companies, research organizations, and biotechs to develop programs past clinical proof of concept and beyond, ultimately helping to bring new medicines to patients. The company is backed by investors across pharma and tech, including a16z, Sequoia, Sanofi, Thrive Capital, John Doerr, Spark Capital, SV Angel Growth, and others. You can read more at the following links: Our Vision for AI in Pharma Our Current Drug Portfolio Our Technology & Platform At Formation Bio, our values are the driving force behind our mission to revolutionize the pharma industry. Every team and individual at the company shares these same values, and every team and individual plays a key part in our mission to bring new treatments to patients faster and more efficiently. About the Position As a Senior Software Engineer at Formation Bio, you will build high-leverage software across the org. You will turn ambiguous problems into products and systems that help people, applications, AI Enabled Employees, and Agents make better decisions and move faster. This is an AI-native engineering role. You use modern AI and agentic development tools as a core part of how you explore, build, test, and operate software. You will also help create software that incorporates AI responsibly, with the interfaces, data access, evaluation, and operational controls needed to make these systems useful in practice. Our products and priorities evolve quickly as we learn. You will be expected to make progress with incomplete information, identify the highest-value path forward, communicate tradeoffs clearly, and reorient quickly when new information changes the priority. This role has a backend and systems center of gravity. We value full-stack range, with a primary focus on backend, systems, product, and AI engineering. 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 LLMs 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 ML-powered capabilities, model interfaces, evaluation, and production integration. Partner with SRE on deployment, reliability, observability, security, and infrastructure decisions. Make pragmatic tradeoffs between speed, quality, maintainability, and future flexibility. Use 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 You 5+ years of experience building and shipping production software, or equivalent senior-level experience. Experience in pharmaceutical, biology, and/or biotechnology software and data is a strong plus. Strong backend and systems engineering fundamentals, including APIs, distributed systems, databases, cloud services, and asynchronous workflows. Daily experience using AI tools, LLMs, or agentic development systems as part of the engineering workflow. Experience building AI-enabled software, agentic workflows, retrieval systems, tool integrations, or other ML-powered products is a strong plus. Familiarity with ML concepts such as training versus inference, embeddings, retrieval, evaluation, data quality, and model limitations is a plus. Deep ML research experience is not required. 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. We value full-stack range, with a primary emphasis on backend, systems, product, and AI engineering. Exceptional communication and collaboration skills across Product Engineering, Data Engineering, Data Science, SRE, and non-technical partners. Total Compensation Range: $185,500 - $232,000 Compensation Individual compensation is determined by several factors, including role scope, geographic location, and skills & experience. Your offer will reflect where you fall within the range based on these considerations. In addition to base salary, we offer equity, comprehensive benefits, and generous perks. If the posted range doesn't match your expectations, we still encourage you to apply! Where We Hire Formation Bio is prioritizing hiring in key hubs, primarily the New York City and Boston metro areas, with a hybrid model requiring 3 days per week in office. Applicants from the Research Triangle (NC) and San Francisco Bay Area may also be considered. Please apply only if you reside in these locations or are willing to relocate . Equal Opportunity Formation Bio is committed to building a diverse and inclusive team. We are an equal opportunity employer and welcome candidates from all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, national origin, ancestry, sex (including pregnancy, childbirth, breastfeeding, and related medical conditions), gender identity or expression, sexual orientation, age, disability, genetic information, marital status, military or veteran status, or any other characteristic protected by federal, state, or local law. We've seen a rise in recruiting impersonation scams across the industry, where fake profiles pose as recruiters aiming to trick candidates into sharing personal and financial information through illegitimate interviews and job offers. All legitimate recruiting communications from Formation Bio will come from a @formation.bio email address. If you receive outreach from someone claiming to work at Formation Bio through any other domain or channel, please disregard it and do not share any personal information.

Requirements

Must-haves

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 LLMs 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 ML-powered capabilities, model interfaces, evaluation, and production integration.
Partner with SRE on deployment, reliability, observability, security, and infrastructure decisions.
Make pragmatic tradeoffs between speed, quality, maintainability, and future flexibility. Use 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.
5+ years of experience building and shipping production software, or equivalent senior-level experience.
Experience in pharmaceutical, biology, and/or biotechnology software and data is a strong plus.
Strong backend and systems engineering fundamentals, including APIs, distributed systems, databases, cloud services, and asynchronous workflows.
Daily experience using AI tools, LLMs, or agentic development systems as part of the engineering workflow.
Experience building AI-enabled software, agentic workflows, retrieval systems, tool integrations, or other ML-powered products is a strong plus.
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.
We value full-stack range, with a primary emphasis on backend, systems, product, and AI engineering.
Exceptional communication and collaboration skills across Product Engineering, Data Engineering, Data Science, SRE, and non-technical partners.

Nice-to-haves

Familiarity with ML concepts such as training versus inference, embeddings, retrieval, evaluation, data quality, and model limitations is a plus. Deep ML research experience is not required.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision