Building Reinforcement Learning into self-healing code and systems w/ Deductive AI I Enginears Podcast

Building FLORA'S AI-native creative platform I Enginears Podcast

This week we are joined by Charlton Roberts, CTO at FLORA. FLORA are building AI for the creatives. This week, we're going to be talking about three key components that really make up their business and how they build for the creative space. They have three pods (Intelligence, AI and Craft) This week we are diving into the make-up of Intelligence, AI, internal agents, re-routing between different models, collaboration, and Craft, performance, optimisation + more. * We dived into Charlton's background and some of the time he's spent in the Creative space. * Transition from larger Creative spaces to an AI-native environment * What are FLORA building, why and how? * The three pods that make up their platform (Intelligence, AI and Craft); we break them down, understand the engineering challenges in each and what thrives in those pods. * Where's the creative space heading and why would you use an AI-native product moving forward? * Who and how they are hiring in New York. If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/charltonroberts/ [https://www.linkedin.com/in/charltonroberts/] Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment [https://www.linkedin.com/company/artifeksrecruitment] https://www.artifeks.co.uk [https://www.artifeks.co.uk] https://www.linkedin.com/in/agilerecruiter [https://www.linkedin.com/in/agilerecruiter] LinkedIn: https://www.linkedin.com/company/enginearsio [https://www.linkedin.com/company/enginearsio] Twitter: https://x.com/Enginearsio [https://x.com/Enginearsio] All Podcast Platforms: https://smartlink.ausha.co/enginears [https://smartlink.ausha.co/enginears] Hosted on Ausha. See ausha.co/privacy-policy [https://ausha.co/privacy-policy] for more information.

Building Autonomous accounts receivable that actually works I Enginears Podcast

This week I'm joined by Mek, who is VP of Engineering at Stuut, a Series A-backed A16Z business in New York. We're going to be diving into the AI-native world of accounts receivable. In Feb 2026, Stuut passed a monumental feat in processing a billion dollars in transactions for their customers. Mek joins us to discuss what they're building, some of their engineering challenges, and bringing some of his leadership principles to building an AI-native business and what we can learn from the team at this moment in time. * Who are Stuut, who are they building for and why? * The journey from $0-$1B and Stuut -> Stuut 2.0 * Taking engineering principals from growth journeys w/ GitLab and VMWare to what shipping looks like now. * A day in the life of an engineer today and what "high agency" should look like. * Building in an AI-native company * How and who they are growing with? If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/srunyu/ [https://www.linkedin.com/in/srunyu/] Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment [https://www.linkedin.com/company/artifeksrecruitment] https://www.artifeks.co.uk [https://www.artifeks.co.uk] https://www.linkedin.com/in/agilerecruiter [https://www.linkedin.com/in/agilerecruiter] LinkedIn: https://www.linkedin.com/company/enginearsio [https://www.linkedin.com/company/enginearsio] Twitter: https://x.com/Enginearsio [https://x.com/Enginearsio] All Podcast Platforms: https://smartlink.ausha.co/enginears [https://smartlink.ausha.co/enginears] Hosted on Ausha. See ausha.co/privacy-policy [https://ausha.co/privacy-policy] for more information.

Building Browser Agents, Infrastructure and Open-source tools for the web economy I Enginears Podcast

Catherine Jue, co-founder at Kernel (https://www.kernel.sh/ [https://www.kernel.sh/]) Kernel are building web agents in a crazy fast, open source way for them to be able to access the internet. We're going to be talking about the technical, product, and business challenges that throw up something as ambitious as this. As we always do, we'll be getting to know the founder behind the idea, or the leader behind the idea. -> Building a web browser agent and uncovering the use cases and capabilities -> From millisecond speeds to cloud infrastructure at scale we break down some of the engineering challenges that exist at Kernel that you're trying to solve on a day-to-day basis. -> The challenges in building a web browser agent and user / security adoption. -> Introducing Managed Auth: a standardized way for agents to log in and stay logged in across the internet. (https://x.com/usekernel/status/2021581721280401709 [https://x.com/usekernel/status/2021581721280401709]) -> Who and how they are hiring. If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/juecd/ [https://www.linkedin.com/in/juecd/] Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment [https://www.linkedin.com/company/artifeksrecruitment] https://www.artifeks.co.uk [https://www.artifeks.co.uk] https://www.linkedin.com/in/agilerecruiter [https://www.linkedin.com/in/agilerecruiter] LinkedIn: https://www.linkedin.com/company/enginearsio [https://www.linkedin.com/company/enginearsio] Twitter: https://x.com/Enginearsio [https://x.com/Enginearsio] All Podcast Platforms: https://smartlink.ausha.co/enginears [https://smartlink.ausha.co/enginears] Hosted on Ausha. See ausha.co/privacy-policy [https://ausha.co/privacy-policy] for more information.

Building the AI-music generation platform Suno and global platform engineering I Enginears Podcast

Newly-Series C funded Suno came to talk to us about AI-generated music in this new era of streaming AI-generated music at unprecedented scale and the ambiguity that comes with building in a new category globally. * We broke down the mission * We broke down the dynamics of the Platform team * Outlining process of building at serious scale // availability = ultimate goal of platform engineering. * How do you scale globally in an AI era where not many people have been before? * How is AI changing the platform game? * Deep-dive into some of their engineering challenges * Growth over the next 12 months! If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/rider-wang-327981116/ [https://www.linkedin.com/in/rider-wang-327981116/] Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment [https://www.linkedin.com/company/artifeksrecruitment] https://www.artifeks.co.uk [https://www.artifeks.co.uk] https://www.linkedin.com/in/agilerecruiter [https://www.linkedin.com/in/agilerecruiter] LinkedIn: https://www.linkedin.com/company/enginearsio [https://www.linkedin.com/company/enginearsio] Twitter: https://x.com/Enginearsio [https://x.com/Enginearsio] All Podcast Platforms: https://smartlink.ausha.co/enginears [https://smartlink.ausha.co/enginears] Hosted on Ausha. See ausha.co/privacy-policy [https://ausha.co/privacy-policy] for more information.

Building Reinforcement Learning into self-healing code and systems w/ Deductive AI I Enginears Podcast

Today I’m joined by Deductive AI. Sameer is an absolute powerhouse, one of the Founding Engineers at Databricks, spent 5 years at Meta building large scale services and now building Deductive AI. Deductive are building self-healing, self-learning services. They are building reinforcement learning into their product offering to heal legacy (..even new code) being generated by AI. * Sameer's background and being a Founding Engineer at Databricks * Recognising an opportunity in reinforcement learning and self-healing / self-learning code and systems * Building an AI-SRE * Generating a course of action in ambiguous cases -> an open-ended engineering challenge that has never been seen before and planning for cases like this * Bets that Deductive are placing in the next 6-12 months If you're keen to share your story, please reach out to us! Guest: Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment [https://www.linkedin.com/company/artifeksrecruitment] https://www.artifeks.co.uk [https://www.artifeks.co.uk] https://www.linkedin.com/in/agilerecruiter [https://www.linkedin.com/in/agilerecruiter] LinkedIn: https://www.linkedin.com/company/enginearsio [https://www.linkedin.com/company/enginearsio] Twitter: https://x.com/Enginearsio [https://x.com/Enginearsio] All Podcast Platforms: https://smartlink.ausha.co/enginears [https://smartlink.ausha.co/enginears] Hosted on Ausha. See ausha.co/privacy-policy [https://ausha.co/privacy-policy] for more information.