--- title: 'Senior / Staff Backend Engineer, Platform & Search at Argon AI' canonical: 'https://feeny.ai/job/senior-staff-backend-engineer-platform-search-argon-ai-new-york-wg11wac9nsw6' type: 'job' last_seen: '2026-10-16' --- # Senior / Staff Backend Engineer, Platform & Search 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/25f78d9b-8274-4287-a8d4-eb892957e3eb ## Job description Argon · New York City · In person Argon builds AI software for life-sciences teams doing complex research, analysis, and writing. Our products connect documents, scientific evidence, and company knowledge to help people produce useful, well-supported work. We’re hiring an experienced backend engineer to own the platform and search systems behind those products. You’ll work directly with the founders and a small engineering team, make consequential technical decisions, and carry projects from an ambiguous problem through implementation, rollout, and production operation. ## What you’ll do - Construct a model of pharma. Make relevant evidence accessible through bespoke ontologies, indexing, filtering, and lexical and semantic search. Measure quality alongside latency and cost. - Deliver backend systems end to end. Translate product and infrastructure needs into practical plans, write production code, and follow through until it works for customers. Break large projects into useful releases. - Own infrastructure and reliability. Build and operate services on AWS and Kubernetes. Improve deployment tooling, observability, recovery, capacity management, and tenant isolation. - Build our next search platform. Lead the search database evaluation and migration, including indexing, synchronization, query APIs, backfills, rollout, and rollback. - Make asynchronous workloads dependable. Build systems that handle retries, duplicate work, rate limits, and partial failure. Extend the platform to support longer-running AI workflows. - Help the team ship faster. Improve service boundaries, shared libraries, tests, error handling, and development tools where they solve concrete problems. ## What you bring - A track record of personally delivering substantial search, backend, or infrastructure projects into production. You can explain what you built, how you shipped it, what failed, and what improved. - Strong engineering fundamentals and comfort moving between application code, database queries, and infrastructure. - Experience operating stateful or distributed services, including queues, concurrency, migrations, and recovery. - Production experience with search, indexing, or retrieval systems, including the effects of freshness, filters, and permissions on results. - Practical judgment: you scope work, choose a useful first version, communicate risks early, and finish the rollout. - Clear communication and thoughtful collaboration with engineers, product partners, and domain experts. Our backend stack includes TypeScript/Node.js, Python, PostgreSQL, AWS, and Kubernetes. Experience with comparable systems transfers. Hybrid search, relevance evaluation, private customer deployments, and AI workflow infrastructure are useful additional experience. You’ll have direct ownership of important systems, work closely with the founders, and see the customer impact of your decisions. We work together in NYC and support relocation. ## 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 Full-Stack Engineer](https://feeny.ai/job/senior-staff-full-stack-engineer-argon-ai-new-york-qa8gzz6bgasa) — New York, NY - [Founding Member, Life Sciences](https://feeny.ai/job/founding-member-life-sciences-argon-ai-new-york-m6n5y2acdvh2) — New York, NY