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Day 58
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Senior Data Scientist
Reads like an AI Engineer role: building products on existing AI models.
NYC-Metro
Live, first seen by us 58 days ago- Pay
- Pay not listed
- Work setting
Hybrid — work setting source
Work setup in the employer’s posting: Hybrid
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingEvaluate agentic AI systems and track their performance over time
Optimize prompts, context and adapter tuning for LLM-based applications
Design and validate 0→1 AI systems that turn business workflows into AI-native processes
Apply statistics and ML to investment sourcing, screening, due diligence and monitoring
From the employer’s posting
develop innovative ways to evaluate the performance of agentic AI systems, track them over time
perform prompt/context optimization and adapter tuning where necessary/appropriate to improve the performance of LLM-based applications
transform business workflows into AI-native processes
apply statistics, machine learning, and data science to streamline tasks like sourcing, screening, due diligence, and asset monitoring
What you’ll bring
All qualificationsCore experience
- 8+ years of experience
- Deep understanding of designing and evaluating LLM-based applications
- Strong programming and data analysis skills
- Ability to explain statistical insights to non-technical or executive audiences
- Experience building systems with models, such as compound AI and agentic collaboration
Qualification wording
8+ years experience
A deep understanding of how to design and evaluate LLM-based applications
Strong programming skills
Ability to interpret statistical insights to non-technical or executive audiences
Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 16, 202658 days ago
- Recorded sightings
- 32
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Obin-Ai is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
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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
The Role
We're looking for Data Scientists who will help implement, evaluate, and improve LLM-based applications (agentic applications). You will work directly with the founders (ex-Google, ex-Silver Lake) and own key technical decisions from day one.
You’ll work on:
● Evals and Optimization
You develop innovative ways to evaluate the performance of agentic AI systems, track them over time, and perform prompt/context optimization and adapter tuning where necessary/appropriate to improve the performance of LLM-based applications.
● Applied Research 0→1 System Design
You integrate cutting-edge models, proprietary data, and innovative architectures to transform business workflows into AI-native processes. They design, implement, and validate these systems through rigorous benchmarking and real-world deployment.
● Exploratory Research – Bold, Big Bets
You critically explore recent advancements drawing from the full breadth of related exploratory efforts to establish company-wide perspectives and opportunities for innovation. You act on these opportunities through bold experimentation, and drive the state of art forward.
● Data-driven investment decisions
You understand the work of an investment analyst and can find ways to apply statistics, machine learning, and data science to streamline tasks like sourcing, screening, due diligence, and asset monitoring.
Experience Required:
● Experience Building with Models, not just Building Models
We develop intelligent systems using models rather than training or fine-tuning them. Ideal candidates have expertise in compound AI systems, agentic collaboration, and associated techniques (ensembling, ReAct, graph-of-thoughts, etc.).
● Uses AI Every Day
Before you can revolutionize someone else’s workflow, you need to revolutionize yours. You should be using tools like ChatGPT, Cursor, Notebook LM, and Claude Code to accelerate your workflow.
● Strong Programming and Data Analysis Skills
You need to have strong programming skills to be able to prove-out your ideas.
● Biases Towards Showing vs. Telling
Our customers want to see the power of AI today vs discuss the most elegant idea that will take 5 years to realize.
We believe great Data Scientists come from diverse backgrounds and are unified by deep curiosity, pragmatism, and engineering excellence.
You Have:
● 8+ years experience
● A deep understanding of how to design and evaluate LLM-based applications
● Ability to interpret statistical insights to non-technical or executive audiences
● Strong programming skills
Bonus:
● Experience in financial systems, risk modeling, or decision automation
● Familiarity with ML training and deployment
● Experience with embedded analytics
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
NYC-Metro
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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