AI Engineer: The Conference That Named a Discipline

There is a conference series that, in about thirty months, went from a single sold-out room in San Francisco to ten events across four continents, ten million YouTube views, and — in April 2027 — a returning edition at the Hyatt Regency in downtown Miami. It is called AI Engineer, and it is the closest thing the industry has to a flag for the largest shift in who builds software since cloud computing. This report covers what the organization is, who runs it, what it has actually contributed to the AI community, and why the Miami edition matters.

Who They Are

AI Engineer is operated by a company called Software 3.0 Inc and was founded by two people with very different superpowers:

• Shawn "swyx" Wang — Co-founder & CEO. Writer, podcast host, and developer-relations veteran: he led DevRel at AWS, Netlify, Temporal, and Airbyte. He is best known for Latent Space, one of the most widely followed publications in AI, and contributes to evaluation standards for coding agents at Cognition.
• Ben Dunphy — Co-founder. A veteran conference organizer who has run large-scale developer events for over a decade, including Reactathon and JAMstack Conf.

That pairing is the entire secret sauce: one person who can define the intellectual frame of a new discipline, and one person who knows how to build, staff, and sell a conference at scale. Most conference brands invert that — a production company that finds an IP. AI Engineer started with the IP and built the machine around it.

The Origin: One Essay

In June 2023, swyx published "The Rise of the AI Engineer" on Latent Space. The central observation: foundation models had created a once-in-a-generation shift right of applied AI. A wide range of tasks that in 2013 took five years and a research team, in 2023 required API documentation and a spare afternoon. He argued software engineering would spawn a new subdiscipline — the way SRE, data engineering, and DevOps emerged — and that the least cringe job title for it was AI Engineer.

The essay went viral. Andrej Karpathy endorsed it with a line that stuck: "In numbers, there's probably going to be significantly more AI Engineers than there are ML engineers / LLM engineers. One can be quite successful in this role without ever training anything." Within 24 hours of publication, the first AI Engineer Summit had announced 1,000+ pre-registrants. It took place October 8–10, 2023 in San Francisco and sold out with a 10:1 applicant ratio.

What Is an "AI Engineer," Exactly?

The role the conference named sits to the right of the traditional ML stack:

• ML / Research Engineers own the left side: pretraining, scale data, model architecture, general benchmark evals.
• AI Engineers own the application layer: picking models, building the pipeline around them, wiring in prompts, tools, retrieval, vector search, orchestration, and agents — then writing product-specific evals and shipping something users actually use.

The key insight from the essay is that the line is permeable: AI engineers can go left to fine-tune or host models, and research engineers can go right to build on APIs. But the center of gravity of applied AI moved right in 2023 and has not come back. That single movement created the career path, the skill stack, and — eventually — the conference circuit that AI Engineer has been documenting ever since. The recurring tracks tell the story of the field year by year: agents, RAG, vector DBs, LLMops, evals, multimodal systems, AI UX, and most recently coding agents, context engineering, and the Model Context Protocol.

The Timeline: 500 to 10,000

By the end of 2025 the series had passed 10M YouTube views and 1.2M+ unique livestream viewers. The AI Engineer YouTube channel now has roughly 1M subscribers and 2M monthly viewers. Their about page puts the cumulative numbers at: 15,000+ IRL AI engineers, 600+ speakers, 200+ expo & sponsorship partners, 100K+ newsletter subscribers, 4 continents, 10+ events produced.

What They Have Contributed

The attendance numbers are the headline, but the community contribution is structural. Four things stand out:

1. They defined the role and its curriculum. The essay named the AI Engineer; the conference programs built the syllabus. If you want a map of what the production AI stack looked like in a given year — agents, RAG, evals, vector DBs, MCP, context engineering — that year's conference program is the map. The free talk library on ai.engineer/talks is the archive.
2. They made the knowledge free. Every major talk is published on YouTube at no cost, which is why the audience (2M monthly viewers) dwarfs any single in-person room. That is a real public good in a field where most frontier practice is behind paywalls or NDAs.
3. They built a genuinely curated room. The Miami edition puts it at ~70% decision-makers: senior engineers & leaders (42.8%), founders & startups (25.9%), developers (22.5%), researchers & VCs (8.8%). Since 2023 the speaker list has read like a who's who: Amjad Masad (Replit), Toran Bruce Richards (AutoGPT), Eugene Yan (Amazon), Harrison Chase (LangChain), Jerry Liu (LlamaIndex), Simon Willison, and engineers from OpenAI, Anthropic, Google DeepMind, Meta, Cloudflare, Cursor, Cerebras, and Databricks.
4. They're licensing the model itself. Through the AIEi partner program, independent organizers in cities around the world license the AI Engineer brand, guidelines, and organizer playbook and run local editions. Miami 2027 is one of those partner events, organized by the team behind React Miami. A community that can license itself to other cities has become infrastructure, not an event brand.

Miami 2027: The One That Comes Home

AI Engineer Miami returns April 26–27, 2027 at the Hyatt Regency Miami, part of Frontier Tech Week. The shape of the event:

• ~500 AI engineers, CTOs, and VPs of AI
• ~24 talks from "engineers who ship" — no theoretical promissory hoopla
• ~16 expo exhibitors spanning devtools & infra, vector DBs, and open models
• CFP opening in November

The previous edition drew 30K+ livestream views and a room dominated by senior engineers and founders, with attendees from OpenAI, Microsoft, Meta, AWS, Google DeepMind, Shopify, and Spotify. The announced 2027 speaker lineup is a mix of founders, lab engineers, and infra leaders: Dax Raad (OpenCode), Tejas Bhakta (Morph LLM), Alisa Fortin (Google DeepMind), Max Stoiber (OpenAI), Rita Kozlov (Cloudflare), Rick Blalock (Agentuity), David Gomes (Cursor), Dexter Horthy (HumanLayer), Shashank Goyal (OpenRouter), Philip Kiely (Baseten), Ben Vinegar (Modem), and Sarah Chieng (Cerebras).

For Miami, the stakes are not vanity. The city is actively positioning itself as a technology and AI hub — frontier tech week, a growing startup scene, and a timezone that sits between the US East Coast and Latin America. A flagship-quality AI engineering conference is talent infrastructure: a recurring place where engineers compare notes on agents and evals, where founders meet the people who will build the next layer of the stack, and where South Florida gets a seat at the table where the field is actually being shaped. If you're based here, the November CFP window is the moment to get a talk in front of the room that decides where engineering careers in AI actually go.

The Takeaway

Most conferences are businesses that happen to be in a technical field. AI Engineer is a community that happens to run businesses. The essay first, the conference second, the free talks, the partner licensing, and the fact that "AI Engineer" is now a real job title used at major companies all point the same way: they built the organizing center of gravity for the people building with foundation models. If the next decade of software belongs to AI engineers, this is the institution that named them, taught them, and gave them a room — and Miami gets a recurring invitation to that table in April 2027.

References

• AI Engineer Miami 2027 — official event page
• AI Engineer — About (story, numbers, leadership)
• Shawn "swyx" Wang — "The Rise of the AI Engineer" (Latent Space, June 2023)
• AI Engineer Summit 2023 — inaugural event
• AI Engineer World's Fair 2024
• AI Engineer — YouTube channel (~1M subscribers)
• AI Engineer — free talk archive