Join us for the July edition of the San Francisco AI Engineers Tech Talk, a gathering focused exclusively on AI engineering. Whether you're a seasoned machine learning engineer or a fullstack dev curious about how to work with LLMs, this is your space to dive deep into real-world projects, technical challenges, & creative solutions.

What to Expect:

Each month, we invite AI engineers to share something they've built, the challenges they faced, & how they solved them. It's all substance, no fluff, designed for engineers by engineers.

This Month's Presenters:

Kaan Karakas, Applied AI Engineer & Valentin De Matos, AI Engineer @ Delphi

Building AI Clones That Scale Human Expertise

Delphi builds digital minds that think & respond like real people. In this talk, two AI engineers will break down the training pipeline behind them, from ingesting messy human data to improving models through natural language feedback. They'll cover the challenges of turning ambiguous user input into useful training signals, measuring whether changes actually improve the model, & the key lessons learned while building systems that learn from real users.

John Rytel, Co-Founder @ Alex AI

Building AI Recruiters for Faster, Smarter Hiring

Hiring at scale requires more than automation, it requires better candidate evaluation & a consistent recruiting process. Alex will share how they're building AI recruiters that conduct interviews, streamline hiring workflows, & help teams identify top talent faster. The session will cover AI-powered screening, live interviews, workflow automation, structured candidate evaluation, & integrating AI into modern recruiting teams.

Alexey P, Founder @ DeepVerified

Building Reliable AI Systems with Evaluation Frameworks: Reliable AI systems require continuous evaluation, not just better models. DeepVerified will share how they're building an evaluation framework to measure accuracy, track latency, monitor historical performance, & identify trends over time, helping teams improve RAG & agent workflows with confidence.

The Crowd:

You'll be joining a mix of software developers, data scientists, AI engineers, & technical founders working at or curious about the future of applying AI at the application layer. It's a casual, high-signal environment perfect for learning something new & meeting peers in the SF AI Engineering scene.

Agenda:

6:00 to 6:45 PM - Networking with pizza, beer, & wine courtesy of Fonzi AI

6:45 to 6:50 PM - Opening remarks

6:50 to 7:35 PM - Three 10 minutes Tech Talks with 5 minute Q&A

7:35 to 8:00 PM - Meet the speakers & connect with other attendees

About the host:

Fonzi is a recruiting platform focused exclusively on product & AI engineering hires in NYC & SF. We work with 75+ open roles across the best startups in the city.

Hiring? Want intros to startups?