The best AI engineering roles aren't on job boards. They're at the AI-native startups building LLM products, intelligent agents, and applied ML systems from scratch. Underdog.io is a closed, invite-only network that introduces vetted AI engineers directly to these companies. One profile. No applications. Hiring managers come to you.
AI roles in the network
From founding AI engineer at a seed-stage LLM startup to staff ML engineer at a Series C — the companies in our network are building across the full AI stack.
Prompt engineering, RAG pipelines, fine-tuning, agent orchestration. AI-native startups building with GPT-4, Claude, Llama, and Gemini. The fastest-growing role in the network by a wide margin.
Production ML systems, model deployment, MLOps, and inference optimization. Companies shipping AI features in real products — not research labs. Python, PyTorch, TensorFlow, Hugging Face.
Building the infrastructure AI teams run on. Training pipelines, model serving, evaluation frameworks, data systems. AWS, GCP, Kubernetes, distributed computing.
Employee #1–5 at a seed or pre-seed AI company. You're not joining a team — you're architecting one. High equity, high ownership, high pace. For engineers who want to build something from nothing.
Deep technical roles in natural language processing, computer vision, and multimodal systems. The highest-compensated AI engineering specializations in the market.
Senior leadership roles at Series B and C companies scaling their AI teams. Technical direction, architecture ownership, and hands-on building. $200K+ base, significant equity.
Why AI engineers choose startups
The most interesting AI engineering problems right now aren't happening at companies with 50,000 employees. They're at 12-person teams shipping LLM products in production, making architecture calls that matter, and moving at a speed big tech can't touch.
2026 salary guide
AI engineering is now the highest-compensated discipline in software. Every Underdog interview request includes the salary range before you engage — no surprises, no wasted time.
Sources: Glassdoor, Acceler8 Talent, Interview Query, Dice Tech Salary Report 2025.
LLM fine-tuning specialists earn 25–40% above generalist ML engineers. The most in-demand AI sub-specialization of 2025 — and still underserved.
Founding AI engineer equity at seed companies typically ranges 0.25–2.0%. At a $100M exit that's real money — and AI-native startups are achieving that faster than ever.
All salary ranges reflect base compensation at venture-backed startups. Equity, signing bonuses, and performance compensation are additive. All Underdog interview requests include the company's actual salary range.
How it works
Underdog isn't a job board. It's a closed network — your personal introduction engine. You build one profile and we connect you directly to AI companies worth your time.
Tell us your AI stack, what you've shipped, your seniority, and where you want to go. Takes 60 seconds. No resume, no cover letter, no retyping your work history.
We review every profile by hand. Only the top 5% are accepted. When an AI company gets introduced to you, they already know you've cleared our bar — which makes every conversation start warmer.
Every Monday, AI hiring managers reach out directly — salary ranges included. You decide which companies get your time. 85% of accepted engineers hear from at least one company in their first week.
Companies in the network
Every company has been reviewed and approved. No staffing firms. No agencies. Just real teams building with AI — and hiring engineers to help them do it.
Not every company is actively hiring for AI engineer roles at all times. We match you based on what's open when you join the network.
Every time I use Underdog.io I remember that job searching doesn't have to be terrible. Thanks for the product.
Zach B. — Senior Software Engineer, NYC
Common questions
The AI moment is now
The AI-native startups building the most interesting products are in our network. One profile gets you in front of all of them — no applications, no spam, no recruiter calls.
Get in the network — it's free →