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Senior AI Engineer (Studio)

Transparent Search Group · transparentsearchgroup.com
New YorkHybridSenior
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Posted 1 month ago. 40 more Machine Learning / AI Engineer jobs in New York, New York went up on company career pages this week. See the newer ones

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Straight from the company’s own careers site.

The job in short

AI engineering (studio).

PythonDatabricksLLMsRAGAgentic

Details

Found
34 d ago · posted 2026-10-03
Location
New York
Pay (as listed)
$190,000–$250,000 a year

Full description

Senior AI Engineer (Studio) Company: Confidential — venture-backed technology company Location: New York, NY (Flatiron, 21st & Broadway) or Chicago, IL (hybrid, 3 days in office) Compensation: $190,000 - $250,000 + competitive equity Employment Type: Full-time Visa Sponsorship: Visa transfers (OPT, H-1B transfer) About the Company The client's Studio turns validated venture concepts into shipped AI products with real users, building new companies from zero to product-market fit, with offices in New York and Chicago. The Role The client is hiring a Senior AI Engineer (3-7 years) to join its Studio as a core builder. You are a quant-aspiring or big-tech engineer with an entrepreneurial streak who has shipped end-to-end AI systems to production, builds things nobody asked for, and wants real ownership in the companies you help create. What You Will Do • Build end-to-end agentic AI systems (agents, retrieval, orchestration, tool integrations) for Studio ventures from 0 to 1 through product-market fit. • Take a venture's first product from scope to ship, cutting to the smallest thing that proves value and then hardening it for production. • Extract reusable primitives so each new venture starts further ahead. • Work with product strategists and design partners to shape what gets built. • Operate across very different venture contexts and thrive in ambiguity. What You Bring • 2-5+ years at a top quant firm (Citadel, Two Sigma, DE Shaw, Jane Street) or an elite tech company (Google, Stripe, Ramp, Databricks, Modal), with clear individual output • End-to-end AI systems shipped to production with real users • Demonstrated entrepreneurial instinct: a side project, startup, internal 0-to-1 or innovation inside a large org • A STEM degree (CS, Math, Physics or Engineering) from a top university • Commercial EQ with non-technical stakeholders, customers and design partners Tech Stack Python, LLMs, agentic AI frameworks, RAG and retrieval systems, ML model serving, evaluation and regression suites, CI/CD, observability Before you apply: get a free recruiter-readiness score for your resume at CareerStanding — about a minute, no signup, and your resume stays in your browser.

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