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OpenAI pays $785K/year to developers who know how to apply Forward Deployed Engineering in AI. in 40-minute talk, Head of FDE at OpenAI revealed full roadmap for how they actually use FDE internally: • 10% → 2:46 - why Morgan Stanley was their first FDE case • 30% →... show more

Codez

47,183 subscribers

113,816 Aufrufe • vor 1 Monat •via X (Twitter)

Wissenschaft & Technologie

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31 Kommentare

Profilbild von me_cool_off

me_cool_offvor 1 Monat

i'll be watching this while sipping milk and eating cookies

Profilbild von Codez

Codezvor 1 Monat

Happy this topic caught your attention. More is coming.

Profilbild von DEFCON1

DEFCON1vor 1 Monat

@coder0214h come and see roadmap

Profilbild von Alpha Batcher

Alpha Batchervor 1 Monat

$785k/year so big money

Profilbild von Codez

Codezvor 1 Monat

Yeah, so true, bro. But I don’t think OpenAI pays for it for no reason. FDE is actually really hyped right now.

Profilbild von starmex

starmexvor 1 Monat

both anthropic and openai paying $785k for this role, the market is speaking

Profilbild von Codez

Codezvor 1 Monat

Yeah. This is true bro

Profilbild von rewind

rewindvor 1 Monat

fde turns demos into production

Profilbild von Codez

Codezvor 1 Monat

Yeah, this is how the future of engineering should look!

Profilbild von African Talent Plug - ATP 🔌

African Talent Plug - ATP 🔌vor 1 Monat

@dre_kwasi

Profilbild von Gentlechessman

Gentlechessmanvor 1 Monat

eval-driven engineering is the missing piece for most AI builders. Even for simple workflows—like turning long-form videos into viral Shorts in 3 mins—without proper evals, the output gets noisy fast. FDE principles are a must-read for anyone building practical AI toolkits.

Profilbild von Fokki

Fokkivor 1 Monat

40 min of smart content

Profilbild von Codez

Codezvor 1 Monat

Tier 1 content, I’d say. By the person who actually ships FDE at the world’s #1 AI company.

Profilbild von Alex

Alexvor 1 Monat

Tier 1 video about FDA

Profilbild von Codez

Codezvor 1 Monat

Yeah. When the Head of FDE at OpenAI talks, I’m listening.

Profilbild von Kaivorn

Kaivornvor 1 Monat

Forward deployed goldmine at $785K!

Profilbild von Codez

Codezvor 1 Monat

yeah, FDE is crazy !

Profilbild von Aparna Soneja

Aparna Sonejavor 1 Monat

Great video!

Profilbild von Rick | DMKTZ | FITzOn

Rick | DMKTZ | FITzOnvor 1 Monat

honestly wondering if that salary is real or just a rumor floating around ai circles would love to know what the actual day-to-day looks like for these folks

Profilbild von Chandraprakash Darji

Chandraprakash Darjivor 1 Monat

"forward deployed engineering" is consulting with a cooler name and better equity math attached.

Profilbild von TriDung.sol

TriDung.solvor 1 Monat

finally someone highlighting the deploymeny gap

Profilbild von StarHaze

StarHazevor 1 Monat

$785K at OpenAI here, $785K at Anthropic in @0xMovez's post three minutes earlier. either FDE comp has fully converged across the industry or that number is doing a lot of travelling

Profilbild von Nurvia

Nurviavor 1 Monat

The eval driven development part is the real shift. Most teams build first and evaluate later. FDE flips that.

Profilbild von Chris Schofield

Chris Schofieldvor 1 Monat

@grok summarise

Profilbild von Trever Jackson

Trever Jacksonvor 1 Monat

This is not the norm guys.

Profilbild von Mithun Kumar

Mithun Kumarvor 1 Monat

$785k/year" is doing a lot of work here... one comp package isn't a market rate, it's recruiting theater.

Profilbild von Gregor

Gregorvor 1 Monat

The Morgan Stanley case being first is the detail I'd pull on. What specifically from that deployment shaped how they structure FDE engagements now?

Profilbild von AI Mastery Guide

AI Mastery Guidevor 1 Monat

$785K for FDE skills shows how valuable real deployment experience is now.

Profilbild von dhinna ship .ico

dhinna ship .icovor 1 Monat

Morgan Stanley case required embedding engineers for on-site regulatory data handling

Profilbild von Rohit

Rohitvor 1 Monat

That's a solid salary for anyone good at that! Sounds like a really interesting talk.

Profilbild von Granite

Granitevor 1 Monat

fde isnt new, palantir did it for years but everything else in here is actually gold

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Anthropic pays $785K/year for Forward Deployed Engineers. in 15-minute workshop, Palantir’s senior engineers revealed the actual AI FDE roadmap in a live demo: • 10% → 0:44 - the manual baseline: hundreds of safety incidents triaged by hand every week • 30% → 3:23 - one prompt + ontology context → a logic function with semantic search over OSHA regs • 55% → 5:57 - agent writes its own eval suite. 10 test cases spanning severities and required actions • 80% → 7:39 - from 90% failing to 90% passing, unprompted • 100% → 13:32 - agents building agents building agents bookmark & watch - then read the full FDE playbook below ↓

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$PLTR People should really watch the interview by Alex Karp in trying to understand what the future of enterprise AI is heading towards. The difference between value creation for each enterprise can be and has to be tailored to get the most use. The FDE model that Palantir pioneered is being used by everyone these days but the end goal for every FDE seems to be different. Companies like Palantir are trying to drive value creation for the companies they work with vs. OpenAI and Anthropic who are more about trying to lock enterprise customers down into their respective ecosystems and endlessly consume tokens. I think its becoming clear that businesses are a bit ticked off by the sheer cost of these models without the tangible returns to justify the expense. Companies like Palantir dont sell tokens, they sell value. Palantir is helping customers by delivering value but maximizing efficiency through model selection and limiting spend. The ROI therefore is much more tangible and dare I say predictable. The incentive structure long term I believe ends up in the hands of those who can provide value and not just a blackbox models whose focus is to pad the bottom line at their respective model company. This move by OpenAI and Anthropic to create custom tailored solutions that feed one token budgets scream, "I better pad my profitability up before the IPO"

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75,480 Aufrufe • vor 2 Monaten

My friend made $2 million last year running his own AI hedge fund. No MIT. No Stanford. No quant background. I asked him how he built the system from zero. He sent me the exact course that got him there. Bridgewater's 1 hour course on building an AI quant researcher. Their core team gave up the complete AI stack they run internally to manage $150 billion. If I had this a year ago, I would've built my hedge fund in a week instead of a year Bookmark this and read the article below. • 00:00 - building AI quant analyst • 25:30 - AI first hedge fund • 56:16 - inside Bridgewater engineering

My friend made $2 million last year running his own AI hedge fund. No MIT. No Stanford. No quant background. I asked him how he built the system from zero. He sent me the exact course that got him there. Bridgewater's 1 hour course on building an AI quant researcher. Their core team gave up the complete AI stack they run internally to manage $150 billion. If I had this a year ago, I would've built my hedge fund in a week instead of a year Bookmark this and read the article below. • 00:00 - building AI quant analyst • 25:30 - AI first hedge fund • 56:16 - inside Bridgewater engineering

Roan

32,996 Aufrufe • vor 1 Monat

Google Engineers just showed how their AI engineers are building Context Graphs from 0% to 100%: 10% → 4:01 - how to build a Context Graph 30% → 15:00 - Graph Engineering explanation 55% → 30:00 - Agentic search Engineering 80% → 35:48 - Graph Engineering practice 100% → 47:06 - self-improving agents in graphs 54-minute Google workshop, and it’s one of the clearest hands-on examples of the shift from. Watch it today, then read the full Context Graphs Playbook below.

Google Engineers just showed how their AI engineers are building Context Graphs from 0% to 100%: 10% → 4:01 - how to build a Context Graph 30% → 15:00 - Graph Engineering explanation 55% → 30:00 - Agentic search Engineering 80% → 35:48 - Graph Engineering practice 100% → 47:06 - self-improving agents in graphs 54-minute Google workshop, and it’s one of the clearest hands-on examples of the shift from. Watch it today, then read the full Context Graphs Playbook below.

Morty

10,451 Aufrufe • vor 16 Tagen

OpenAI senior engineer just released a 1-hour course on building agentic systems with Codex from scratch: • 00:36 - deep dive into Codex: agents, subagents • 11:34 - Codex agentic prompting patterns • 20:06 - long running Codex agents with /goal • 30:03 - building skills for Codex agents • 41:28 - self-improving loops with /automations this 1-hour workshop by the OpenAI team will replace a $500 AI engineering course watch today, then read how to build self-improving agentic systems with loops & graphs in the article below

OpenAI senior engineer just released a 1-hour course on building agentic systems with Codex from scratch: • 00:36 - deep dive into Codex: agents, subagents • 11:34 - Codex agentic prompting patterns • 20:06 - long running Codex agents with /goal • 30:03 - building skills for Codex agents • 41:28 - self-improving loops with /automations this 1-hour workshop by the OpenAI team will replace a $500 AI engineering course watch today, then read how to build self-improving agentic systems with loops & graphs in the article below

Codez

60,147 Aufrufe • vor 13 Tagen