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Founding Engineer for AI & Machine Learning Startups

Senior engineers who ship like your first 5 hires with deep expertise in ai/ml. Production AI/ML systems including LLMs, RAG pipelines, computer vision, and intelligent automation.

$35M+
ARR guided
2
Acquisitions
99.99%
Uptime
15+
Startups

AI/ML Engineering Challenges We Solve

Building ai/ml software requires navigating complex requirements. Our founding engineers bring hands-on experience with:

Technical Challenges

  • LLM integration and prompt engineering
  • RAG system architecture
  • ML model deployment and monitoring
  • Data pipeline and feature engineering
  • AI safety and responsible deployment

Our AI/ML Expertise

  • LLM application development (GPT, Claude, Llama)
  • RAG and vector database systems
  • ML ops and model serving
  • Computer vision applications
  • AI agent and copilot development

What Our Founding Engineers Do for AI/ML Startups

When you work with a HyperNest founding engineer for your ai/ml startup, you get more than technical execution. You get a partner who understands the unique challenges of building ai/ml products—from llm integration and prompt engineering to rag system architecture.

Founding Engineer Responsibilities in AI/ML

  • • Technical roadmap aligned with ai/ml regulatory requirements
  • • Architecture decisions that scale while maintaining compliance
  • • Vendor selection for ai/ml-specific tools and services
  • • Engineering hiring with domain expertise requirements
  • • Investor storytelling for ai/ml technical diligence

Why AI/ML Founders Choose Us

We've built production ai/ml systems. Our engineers understand llm application development (gpt, claude, llama) and rag and vector database systems because they've implemented them before. That means faster onboarding, fewer mistakes, and a shorter path to your next milestone.

Aravind is in the top 1% of engineers I've hired. He supported us from $100K to $5M ARR, keeping us shipping through crazy growth and investor scrutiny.
Tara Viswanathan
Co-founder & CEO, Rupa Health (Acquired by Fullscript)

Founding Engineer for AI/ML FAQs

What does a Founding Engineer for AI/ML startups do?

A founding engineer for ai/ml startups provides senior engineers who ship like your first 5 hires with specialized knowledge of llm integration and prompt engineering and rag system architecture. They understand the unique technical and regulatory requirements of building ai/ml products.

Why do AI/ML startups need a specialized Founding Engineer?

AI/ML software requires deep domain expertise. Production AI/ML systems including LLMs, RAG pipelines, computer vision, and intelligent automation. A founding engineer who has built ai/ml products before can help you avoid costly mistakes, navigate compliance requirements, and ship faster.

How much does a Founding Engineer for AI/ML cost?

Founding Engineer engagements for ai/ml startups typically range from $10,000-25,000/month depending on scope and hours. This is often 50-70% less than a full-time hire while getting senior expertise from day one.

How is HyperNest different from other AI/ML development agencies?

We embed as founding engineers and fractional CTOs directly in your team—no rotating contractors, no account managers buffering conversations. Our engineers have shipped production ai/ml systems and understand the domain deeply.

Ready for a Founding Engineer who knows AI/ML?

Let's discuss your ai/ml startup and how we can help you ship faster.