HU

Artificial Intelligence Engineer

HUGApplies on LinkedInData & Analytics
Salary
$160Kโ€“$210K
USD
Moves you to
United States
Support
Visa sponsorship
Posted
Sep 24, 2026
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AI Product Engineer


๐Ÿ“ New York City - Onsite

๐Ÿ’ฐ $160,000 โ€“ $210,000 + 0.05%โ€“0.2% equity

๐Ÿ’ผ Full-time

๐Ÿ›‚ Visa sponsorship available


Weโ€™re working with a fast-growing Series B AI company building the next generation of intelligent software for go-to-market teams.


Their AI platform turns customer interactions into structured data, insights and intelligent action, helping companies move faster, automate manual work and make better decisions.


Theyโ€™re now looking for an exceptional AI Product Engineer to join the team in NYC.


This is NOT a traditional software engineering role.


Weโ€™re looking for someone who combines strong engineering fundamentals with a genuine product mindset - someone who can take an ambiguous problem, understand what the customer actually needs, and build and ship the solution end-to-end.


The Role


Youโ€™ll own projects from initial problem definition through production, working across the stack and collaborating closely with Product, Design, Engineering and Forward Deployed Engineers.

Youโ€™ll:


๐Ÿค– Build AI-native features, agents and intelligent workflows


๐Ÿš€ Own features end-to-end - from architecture and implementation through testing, monitoring and production


๐Ÿง  Work with LLMs, agentic systems, RAG, evaluation frameworks and vector databases


๐Ÿ—๏ธ Solve challenging distributed systems, infrastructure and scaling problems


๐Ÿ” Turn raw customer feedback into thoughtful product solutions


โšก Move quickly using AI-assisted engineering workflows without sacrificing production quality


๐Ÿ› ๏ธ Influence technical and platform direction through your own ideas


๐Ÿค Work closely with FDEs on customer-critical initiatives


What We're Looking For


โ€ข 2+ years of professional software engineering experience, with ~4 years being the sweet spot

โ€ข Strong software engineering and system design fundamentals

โ€ข Experience building and shipping products end-to-end

โ€ข Hands-on experience with AI/LLMs, ideally including agentic systems, RAG, LLM evaluations or vector databases

โ€ข Experience with distributed systems, infrastructure/scaling or concurrent/async processing

โ€ข Strong approach to testing, monitoring and reliability

โ€ข Genuine fluency with AI-assisted development and a sophisticated AI-native engineering workflow

โ€ข Strong product instincts and customer empathy

โ€ข High autonomy - able to take ambiguous problems and turn them into shipped solutions

โ€ข A scrappy, startup-oriented mindset with strong ownership


Weโ€™re particularly interested in engineers who have:


๐Ÿ”ฅ Built sophisticated AI/agent workflows


๐Ÿงช Worked hands-on with LLM evaluations and RAG


๐Ÿ—๏ธ Built or scaled distributed systems


๐Ÿš€ Worked at an early-stage/high-growth startup


๐Ÿง‘ ๐Ÿ’ป Founded or built a company themselves


โšก Developed a highly effective AI-assisted engineering workflow


The Ideal Candidate


Youโ€™re someone who genuinely loves building.


You don't wait for perfect requirements or need constant direction. You see a problem, understand the customer outcome, figure out the right technical approach and ship it.


Youโ€™re also excited about the way AI is changing software engineering - using agents and LLMs as part of your development workflow while maintaining a high bar for quality, testing and reliability.


This is a high-intensity, highly collaborative environment where ownership, speed and technical depth matter.


If you're an AI-native engineer who wants to build products end-to-end, work directly on cutting-edge AI systems and have significant ownership over what you build, we'd love to hear from you.


Apply now or get in touch for more information.

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