HUG
Artificial Intelligence Engineer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
New York, NY, USA
Work mode:
Onsite
Published on:
23 September 2026
What they need
AI Product Engineer
📍 New York City - Onsite
💰 $160,000 – $210,000 + 0.05%–0.2% equity
💼 Full-time
🛂 Visa sponsorship available
We’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.
They’re now looking for an exceptional AI Product Engineer to join the team in NYC.
This is NOT a traditional software engineering role.
We’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
You’ll own projects from initial problem definition through production, working across the stack and collaborating closely with Product, Design, Engineering and Forward Deployed Engineers.
You’ll:
🤖 Build AI-native features, agents and intelligent workflows
🚀 Own features end-to-end - from architecture and implementation through testing, monitoring and production
🧠 Work with LLMs, agentic systems, RAG, evaluation frameworks and vector databases
🏗️ Solve challenging distributed systems, infrastructure and scaling problems
🔍 Turn raw customer feedback into thoughtful product solutions
⚡ Move quickly using AI-assisted engineering workflows without sacrificing production quality
🛠️ Influence technical and platform direction through your own ideas
🤝 Work closely with FDEs on customer-critical initiatives
What We're Looking For
2+ years of professional software engineering experience, with ~4 years being the sweet spot
Strong software engineering and system design fundamentals
Experience building and shipping products end-to-end
Hands-on experience with AI/LLMs, ideally including agentic systems, RAG, LLM evaluations or vector databases
Experience with distributed systems, infrastructure/scaling or concurrent/async processing
Strong approach to testing, monitoring and reliability
Genuine fluency with AI-assisted development and a sophisticated AI-native engineering workflow
Strong product instincts and customer empathy
High autonomy - able to take ambiguous problems and turn them into shipped solutions
A scrappy, startup-oriented mindset with strong ownership
We’re particularly interested in engineers who have:
🔥 Built sophisticated AI/agent workflows
🧪 Worked hands-on with LLM evaluations and RAG
🏗️ Built or scaled distributed systems
🚀 Worked at an early-stage/high-growth startup
🧑 💻 Founded or built a company themselves
⚡ Developed a highly effective AI-assisted engineering workflow
The Ideal Candidate
You’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.
You’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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