--- title: 'Senior / Staff Full-Stack Engineer at Argon AI' canonical: 'https://feeny.ai/job/senior-staff-full-stack-engineer-argon-ai-new-york-qa8gzz6bgasa' type: 'job' last_seen: '2026-10-16' --- # Senior / Staff Full-Stack Engineer at Argon AI - **Company:** Argon AI - **Location:** New York, NY - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-09-28 - **Last confirmed live:** 2026-10-16 - **Apply:** https://jobs.ashbyhq.com/argon-ai/1a44d4e7-4e6d-4b36-8dce-8ae456dd4e88 ## Job description Argon · New York City · In person We are opportunistically looking for exceptional senior/staff full-stack engineers who can turn ambiguous customer needs into useful, reliable software. You’ll work closely with the founders, product partners, and domain experts, owning features from scoping and design through implementation, launch, and iteration. ## What you’ll do - Deliver customer-facing features end to end across frontend, backend services, APIs, and integrations. - Improve research, analysis, and writing workflows, including evidence presentation, citations, and exports. - Make practical product and architecture decisions, break work into useful releases, and follow through on quality and customer adoption. - Build appropriate tests, instrumentation, and operational support for the features you ship. ## What you bring - A record of independently shipping substantial full-stack products or features used by real customers. - Strong frontend and backend fundamentals, product judgment, and attention to usability and correctness. - Ability to navigate unfamiliar systems, work with domain experts, and finish projects with limited oversight. - Experience with TypeScript, modern frontend development, APIs, and SQL; Python, AI product work, and life-sciences experience are useful additions. Hiring posture: Pursue exceptional candidates when there is a strong fit. The focused hiring priority remains platform/search engineering. ## About Argon AI ## Company Overview - **One-liner**: Argon AI provides an AI-native workspace for life sciences teams to automate data-intensive workflows, from competitive intelligence and clinical trial benchmarking to primary market research. - **Entity Type**: Private (Seed stage) - **Headquarters**: Brooklyn, New York, United States - **Founded**: 2023 - **Founders**: Samy Danesh (CEO) and Cyrus Jia ## Core Business - **Primary industry/industries**: Life Sciences Software, AI for Pharma Intelligence, Biotechnology Enterprise Software - **Target customers**: B2B; enterprise biopharma companies, biotechs, and life science consulting firms - **Mission or purpose statement**: "We believe AI will power teams of scientists and pharma professionals to bring therapies and treatments to patients faster and more efficiently. Patients are waiting, and the science is ready." [argon-ai.com](https://argon-ai.com/) ## Products & Services - **Argon AI Workspace (Core Platform)**: An AI-native workspace that unifies internal company data (from SharePoint, Snowflake, Veeva, etc.) with Argon’s proprietary, continuously updated database of clinical and commercial sources. Teams can build customized AI agents to automate tasks such as end-to-end Primary Market Research, competitive tracking, clinical trial benchmarking, healthcare provider insight analysis, and strategic market landscapes. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Key Metric**: Total Funding of **$11.6M** raised across multiple rounds (including a $5.5M Seed round in July 2025 and a $5.5M Seed round in June 2024). [linkedin.com](https://www.linkedin.com/company/argon-ai) - **Notable Investors/Partners**: Wireframe Ventures, Crosslink Capital (co-led the latest round), Y Combinator, Pioneer Fund, Orange Collective. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) - **Growth Signals**: - Working with two of the top 15 global pharmaceutical companies and deployed firm-wide at premier life science consulting firms like Basis Health. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) - Headcount grew +120% YoY (from ~4 to 10 employees). [linkedin.com](https://www.linkedin.com/company/argon-ai) - 2,288 LinkedIn followers with +111% yearly growth. [linkedin.com](https://www.linkedin.com/company/argon-ai) - Monthly web traffic of ~5,000 visits, growing +22.4% month-over-month. [linkedin.com](https://www.linkedin.com/company/argon-ai) ## Competitive Advantages - **Deep domain specialization**: Built specifically for life sciences, not a general-purpose AI tool. The platform comes pre-loaded with proprietary secondary data (medical literature, company info, preclinical to commercial assets) and sell-side analyst research from 50+ healthcare banks. [argon-ai.com](https://argon-ai.com/) - **Enterprise integrations**: Connects directly with pharma-standard data sources (Veeva, Snowflake, SharePoint), solving the fragmentation problem that plagues the industry. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) - **Time-to-insight advantage**: Claims to reduce hundreds of hours of manual labor to minutes, as validated by partner testimonials. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) ## Strategic Focus - **Current priorities**: Expanding the team, deepening product capabilities, and scaling adoption across enterprise biopharma. The goal is to save life sciences companies millions in misdirected R&D spending by accelerating decision-making and drug delivery. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) ## Why Work Here - **Culture highlights**: Fast-growing seed-stage startup with a clear mission to impact the cost and speed of bringing drugs to market. Work is directly tied to helping patients access therapies faster. - **Remote/hybrid/office policy**: On-site workspace in Brooklyn, NY (318 Grand Street). Employees work from the physical office. [builtin.com](https://builtin.com/company/argon-ai) - **Notable perks or engineering culture**: Small, high-leverage team (10 people) with a strong technical stack (Python, TypeScript, React, Node.js, PostgreSQL, Redis, Kubernetes). The founding team has backgrounds from top firms and the team includes engineers from NYU Langone Health, Citadel, and Gopuff. [linkedin.com](https://www.linkedin.com/company/argon-ai) ## Sources 1. [argon-ai.com](https://argon-ai.com/) 2. [linkedin.com](https://www.linkedin.com/company/argon-ai) 3. [cbinsights.com](https://www.cbinsights.com/company/argon-ai) 4. [builtin.com](https://builtin.com/company/argon-ai) ## Other roles at Argon AI - [Senior / Staff Backend Engineer, Platform & Search](https://feeny.ai/job/senior-staff-backend-engineer-platform-search-argon-ai-new-york-wg11wac9nsw6) — New York, NY - [Founding Member, Life Sciences](https://feeny.ai/job/founding-member-life-sciences-argon-ai-new-york-m6n5y2acdvh2) — New York, NY