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Principal / Senior Data Scientist, Agentic AI

Reads like an AI Engineer role: building products on existing AI models.

Hudson Yards, NYC · New York, United States of America

Live, first seen by us 2 days ago
Pay
Pay not listed
Work setting
Hybrid — work setting source
Location type: Hybrid
From the employer’s posting
Employment
Full-time — employment source
Employment type: Full-time
From the employer’s posting
Team
Data Science — team source
Department: Data Science
From the employer’s posting

Before you apply

Work authorization
Must already have the right to workWe’re unable to sponsor new H-1B visas

What you’ll work on

Full posting
  • Own end-to-end development and deployment of agentic LLM applications

  • Design, build, evaluate, and ship production-ready AI systems

  • Partner with founders to turn business problems into AI solutions

  • Build scalable AI infrastructure and internal tools with Engineering

  • Improve system performance and reliability through rapid experimentation

From the employer’s posting
Own the end-to-end development and deployment of agentic LLM applications
Design, build, evaluate, and ship production-ready AI systems from prototype to production.
Partner with founders to define product direction and turn business problems into AI solutions.
Collaborate with Engineering to build scalable AI infrastructure, system architecture, and internal tools.
Improve system performance, reliability, and user experience through rapid experimentation and iteration.
Education & alternatives
- Passionate about LLMs and real-world AI applications, with a pragmatic, impact-driven mindset - Bachelor’s/Master’s degree with 5+ years of industry experience in finance, biotech, or tech startups, Or PhD in a quantitative field (CS, Computational Biology, Statistics, etc.) with 2+ years of industry experience - Hands-on experience building AI applications, including prompt engineering, advanced analytics, and transforming large-scale unstructured data into production-ready solutions

Benefits in the posting

Full benefits wording
  • 💰Cash compensation range: $175,000 - $255,000 📈 Equity grants in Arlyn AI 🏖 Unlimited PTO 🏥 Employee benefits package
  • ✨ We’re building in New York and love having the team together in person. If you’re not already based in the area, we’ll support your relocation so you can join us here.

From the employer’s posting.

Apply at Arlyn AI

Posting record

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Status in our records
Live
First seen by us
Nov 11, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 13, 2026
Reposted
once since Sep 17, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 4 and day 77.

From 51 similar postings that came down. Coming down is not always a hire.

Arlyn AI is hiring

1 open job

Open jobs by the week we first saw them, last 12 weeks.

  • 100% of open jobs were reposted
Hiring record

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Demand for AI Engineer roles

New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.

Weekly new AI Engineer postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 7, the most 65, and the latest week had 65.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under AI Engineer, by the work the posting describes.

AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.

Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.

An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.

Job description

View original posting ↗

Arlyn AI – AI-Powered Insights for Life Science

Arlyn AI is a New York based, fast-growing AI startup expanding patient access to life-changing medicines while reducing commercial costs for drug innovators.

Principal / Senior Data Scientist, Agentic AI

We're looking for a data-driven problem solver to leverage large language models (LLMs) and transform unstructured data into data ontologies and actionable insights that drive drug launches and access strategies. You'll work at the intersection of AI, data science, and healthcare, helping biotech and pharma companies navigate patient access barriers and optimize commercial decisions.

What You’ll Do

  • Own the end-to-end development and deployment of agentic LLM applications that deliver measurable business impact.

  • Design, build, evaluate, and ship production-ready AI systems from prototype to production.

  • Partner with founders to define product direction and turn business problems into AI solutions.

  • Collaborate with Engineering to build scalable AI infrastructure, system architecture, and internal tools.

  • Improve system performance, reliability, and user experience through rapid experimentation and iteration.

What We’re Looking For

  • A strong conceptual thinker with deep technical expertise, who enjoys translating complex, ambiguous business challenges into clear, structured data problems.

  • Passionate about LLMs and real-world AI applications, with a pragmatic, impact-driven mindset

  • Bachelor’s/Master’s degree with 5+ years of industry experience in finance, biotech, or tech startups, Or PhD in a quantitative field (CS, Computational Biology, Statistics, etc.) with 2+ years of industry experience

  • Hands-on experience building AI applications, including prompt engineering, advanced analytics, and transforming large-scale unstructured data into production-ready solutions

  • Collaborate across Engineering and Data Science teams to lead decision-making on essential system architectures and core operational workflows.

Compensation & Benefits

💰Cash compensation range: $175,000 - $255,000
📈 Equity grants in Arlyn AI
🏖 Unlimited PTO
🏥 Employee benefits package

📍 Location: Hudson Yards, NYC (on-site 3 days a week)

✨ We’re building in New York and love having the team together in person. If you’re not already based in the area, we’ll support your relocation so you can join us here.

We’re unable to sponsor new H-1B visas.

Source details

View original posting ↗

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Pay

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Location & working pattern

New York, United States of America

💰Cash compensation range: $175,000 - $255,000 📈 Equity grants in Arlyn AI 🏖 Unlimited PTO 🏥 Employee benefits package 📍 Location: Hudson Yards, NYC (on-site 3 days a week) ✨ We’re building in New York and love having the team together in person. If you’re not already based in the area, we’ll support your relocation so you can join us here.
Work authorization
✨ We’re building in New York and love having the team together in person. If you’re not already based in the area, we’ll support your relocation so you can join us here. We’re unable to sponsor new H-1B visas.

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