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Senior Software / AI Engineer

Pathos · New York City, NY, United States · On Site · Active · $180,000–$200,000 / year · Rippling ATS

Job facts

FieldValue
CompanyPathos
TitleSenior Software / AI Engineer
Normalized title-
Department / teamEngineering
LocationNew York City, NY, United States
Work modelOn Site
Employment typeFull Time
Salary$180,000–$200,000 / year
Statusactive
ATS providerRippling ATS
Posted / first seen2026-01-09 / 2026-05-29
Changed / last seen2026-06-06 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Pathos.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Rippling ATS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York City.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyPathos
Source2d66e9b5-1b63-475c-a03a-943980720722
ATS providerRippling ATS

Description

company Drug development shouldn’t be guesswork, not when patients are waiting. Pathos is building a next-generation biotech with AI at the core. Not as a feature, but as the operating system for how medicines get developed. We believe most drugs don’t fail because the science was wrong. They fail because they were tested in the wrong patients, with the wrong assumptions, in trials that couldn’t answer the real question: who benefits, and why? Pathos exists to change that. We’re building the largest foundation model in oncology and pairing it with proprietary AI systems, deep oncology expertise, and 200+ petabytes of multimodal data linked to patient outcomes, so we can make development decisions with more precision, much earlier. This is not theoretical. We’re well-capitalized and have the leadership to build a generational company. We invest in and advance our own clinical-stage programs, using our AI platform to sharpen trial design, patient selection and biomarker strategy. So therapies reach the patients most likely to benefit, sooner. How We Build Pathos does not operate like a traditional biotech. There is no middle management. There are no layers of approval. The company is designed, from the ground up, around small teams of 2–4 subject-matter experts who each command hundreds of AI agents to do the work that used to require dozens of people. Everyone builds. Everyone ships. Every function at Pathos — from clinical execution to asset selection to the foundation model itself — runs on this model. Our product velocity delivers meaningful outcomes in hours instead of weeks. This is not a future aspiration. It is how we operate today. The people who thrive here are operators: deep experts who can specify what needs to happen, orchestrate AI agents to execute at scale, and make high-judgment calls that compound over time. If you have spent your career building and shipping AI systems at scale, this is the environment where that experience becomes a superpower. role About the role Pathos is building the first AI-native biotech platform—one that turns massive multimodal datasets into foundation models, and those models into live agents that materially change how drug development is done. Instead of bolting AI onto legacy pharma systems, we’re designing a new stack from the ground up. We’re hiring experienced engineers to architect and ship the first generation of Pathos’ AI and data infrastructure. Your work will power our core products and enable agents that support BD, clinical development, computational biology, and lab teams. This is a ground-floor role with broad technical scope and ownership. If you want to build the technical infrastructure that rewires the R&D workflow, this is the place to do your career’s best work. This will be one of the most direct applications of your technical skills to advancements in cancer research. What You’ll Build AI agents / copilots for internal teams (BD, clinical, comp-bio, lab). Robust data pipelines into a governed warehouse / knowledge graph. MCP-style servers and tooling so agents can safely talk to internal systems. Work across the full product lifecycle: prototype, iterate, ship, and maintain Who You Are Senior software / ML engineer who can design, build, and ship Have 4+ years of experience as a software/ML/product engineer working on user-facing systems Have built or prototyped LLM-powered workflows using the OpenAI API (or similar) Take initiative, move quickly, and operate with a strong sense of ownership Enjoy working closely with end users and shaping 0→1 products Are collaborative, curious, and motivated to make an outsized impact at the frontier of AI Excellent fundamentals: Are fluent in Python and TypeScript (3+ years in production) and comfortable building full-stack applications. Experience with production-grade APIs, eventing, and data engineering (cloud-native, ideally GCP/BigQuery or similar). Comfortable owning services end-to-end: architecture, implementation, testing, observability. Bonus Points: Prior work on LLM tools/agents, retrieval systems, or ML infra. Experience operating within highly regulated environments leveraging patient and clinical trial data. Location This is a hybrid role, requiring up to 3-4 days per week onsite, in our NYC Headquarters.

Full job record

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Org ID25325165-9d82-45f6-8e64-74c33db17449
Source ID2d66e9b5-1b63-475c-a03a-943980720722
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TitleSenior Software / AI Engineer
Normalized Title
Statusactive
Activeyes
Location TextNew York City, NY, United States
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryUnited States
RegionNY
CityNew York City
Salary RawUSD 180000-200000 YEAR
Salary Min180,000
Salary Max200,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://ats.rippling.com/pathos/jobs/bb1f8483-3c0e-486a-be54-761aaa2baab3
Apply URLhttps://ats.rippling.com/pathos/jobs/bb1f8483-3c0e-486a-be54-761aaa2baab3
First Seen At2026-05-29 07:13:53Z
Last Seen At2026-06-06 19:47:28Z
Last Checked At2026-06-06 19:47:28Z
Last Changed At2026-06-06 19:47:28Z
Inactive At
Source Posted At2026-01-09 21:05:20Z
Source Updated At
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      "role": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:14pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><b><strong style=\"font-size:14pt;white-space:pre-wrap;\">About the role</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Pathos is building the first AI-native biotech platform—one that turns massive multimodal datasets into foundation models, and those models into live agents that materially change how drug development is done. Instead of bolting AI onto legacy pharma systems, we’re designing a new stack from the ground up.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">We’re hiring experienced engineers to architect and ship the first generation of Pathos’ AI and data infrastructure. Your work will power our core products and enable agents that support BD, clinical development, computational biology, and lab teams. This is a ground-floor role with broad technical scope and ownership.&nbsp;</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">If you want to build the technical infrastructure that rewires the R&amp;D workflow, this is the place to do your career’s best work. This will be one of the most direct applications of your technical skills to advancements in cancer research.&nbsp;&nbsp;&nbsp;</span></p><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:12pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">What You’ll Build</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">AI agents / copilots for internal teams (BD, clinical, comp-bio, lab).</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Robust data pipelines into a governed warehouse / knowledge graph.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">MCP-style servers and tooling so agents can safely talk to internal systems.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Work across the full product lifecycle: prototype, iterate, ship, and maintain</span></li></ul><h2 style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;line-height:1.6;font-size:14pt;font-weight:600;letter-spacing:0.5px;margin-top:18px;margin-bottom:4px;text-align:justify;padding-left:0px;\"><b><strong style=\"color:rgb(0,0,0);font-size:14pt;white-space:pre-wrap;\">Who You Are</strong></b></h2><ul data-pattern=\"discCircleSquare\" data-depth=\"1\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin:8px 0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:disc;\"><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Senior software / ML engineer who can design, build, and ship</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Have 4+ years of experience as a software/ML/product engineer working on user-facing systems</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Have built or prototyped LLM-powered workflows using the OpenAI API (or similar)</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Take initiative, move quickly, and operate with a strong sense of ownership</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Enjoy working closely with end users and shaping 0→1 products</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Are collaborative, curious, and motivated to make an outsized impact at the frontier of AI</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Excellent fundamentals:</strong></b></li><li style=\"font-size:12pt;--listitem-marker-color:#000000;list-style:none;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><ul data-pattern=\"discCircleSquare\" data-depth=\"2\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin-left:0px;margin-right:0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:circle;\"><li style=\"color:rgb(0,0,0);font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Are fluent in Python and TypeScript (3+ years in production) and comfortable building full-stack applications.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience with production-grade APIs, eventing, and data engineering (cloud-native, ideally GCP/BigQuery or similar).</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Comfortable owning services end-to-end: architecture, implementation, testing, observability.</span></li></ul></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><b><strong style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Bonus Points:</strong></b></li><li style=\"font-size:12pt;--listitem-marker-color:#000000;list-style:none;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><ul data-pattern=\"discCircleSquare\" data-depth=\"2\" style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:11pt;font-weight:400;margin-left:0px;margin-right:0px;line-height:1.6;padding:0px 0px 0px 32px;list-style-type:circle;\"><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Prior work on LLM tools/agents, retrieval systems, or ML infra.</span></li><li style=\"color:rgb(0,0,0);font-size:12pt;--listitem-marker-color:#000000;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:left;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">Experience operating within highly regulated environments leveraging patient and clinical trial data.</span></li></ul></li></ul><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:14pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;text-align:left;\"><b><strong style=\"color:rgb(0,0,0);font-size:14pt;white-space:pre-wrap;\">Location</strong></b></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"color:rgb(0,0,0);font-size:12pt;white-space:pre-wrap;\">This is a hybrid role, requiring up to 3-4 days per week onsite, in our NYC Headquarters.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>",
      "company": "<meta><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><span style=\"font-size:12pt;white-space:pre-wrap;\">Drug development shouldn’t be guesswork, not when patients are waiting.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br><span style=\"font-size:12pt;white-space:pre-wrap;\">Pathos is building a next-generation biotech with AI at the core. Not as a feature, but as the operating system for how medicines get developed. We believe most drugs don’t fail because the science was wrong. They fail because they were tested in the wrong patients, with the wrong assumptions, in trials that couldn’t answer the real question: who benefits, and why?</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br><span style=\"font-size:12pt;white-space:pre-wrap;\">Pathos exists to change that. We’re building the largest foundation model in oncology and pairing it with proprietary AI systems, deep oncology expertise, and 200+ petabytes of multimodal data linked to patient outcomes, so we can make development decisions with more precision, much earlier.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br><span style=\"font-size:12pt;white-space:pre-wrap;\">This is not theoretical. We’re well-capitalized and have the leadership to build a generational company. We invest in and advance our own clinical-stage programs, using our AI platform to sharpen trial design, patient selection and biomarker strategy. So therapies reach the patients most likely to benefit, sooner.</span><br><br><b><strong style=\"font-size:12pt;white-space:pre-wrap;\">How We Build</strong></b><br><span style=\"font-size:12pt;white-space:pre-wrap;\">Pathos does not operate like a traditional biotech. There is no middle management. There are no layers of approval. The company is designed, from the ground up, around small teams of 2–4 subject-matter experts who each command hundreds of AI agents to do the work that used to require dozens of people.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br><span style=\"font-size:12pt;white-space:pre-wrap;\">Everyone builds. Everyone ships. Every function at Pathos — from clinical execution to asset selection to the foundation model itself — runs on this model. Our product velocity delivers meaningful outcomes in hours instead of weeks. This is not a future aspiration. It is how we operate today.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br><span style=\"font-size:12pt;white-space:pre-wrap;\">The people who thrive here are operators: deep experts who can specify what needs to happen, orchestrate AI agents to execute at scale, and make high-judgment calls that compound over time. If you have spent your career building and shipping AI systems at scale, this is the environment where that experience becomes a superpower.</span></p><p style=\"font-family:&quot;Basel Grotesk&quot;,Arial,sans-serif;font-size:12pt;font-weight:400;line-height:1.6;letter-spacing:0.25px;margin:4px 0px;padding:0px;\"><br></p>"
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Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/f48bfc7990e8e89bcbd11f070c1d82863c0d83c0?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/25325165-9d82-45f6-8e64-74c33db17449JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/2d66e9b5-1b63-475c-a03a-943980720722JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/f48bfc7990e8e89bcbd11f070c1d82863c0d83c0/eventsJSON