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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.
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 agoLocation type: HybridFrom the employer’s posting
Employment type: Full-timeFrom the employer’s posting
Department: Data ScienceFrom the employer’s posting
We’re unable to sponsor new H-1B visas
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
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.
- 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
From the employer’s posting.
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.
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.
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New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
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.
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.
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.
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.
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.
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.
💰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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
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.
✨ 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.