This week we are joined by Jon Sheller (Head of Engineering) and Brian Jadot (Staff Engineer) at Nuvo. Nuvo are building an AI-native and agentic trade operation underpinning onboarding, accounts recievable, credit and risk management and much more packed into this network. Intro into Brian and Jon's background.Intro into Nuvo and the problem space / mission.Key engineering challenges that underpin the network (Payments, AI, Product, Network)The incumbernt and what's being disruptedThe network and why/how it's being builtThe agentic layer and some of the value unlocks and challengesHardest challenges they're solvingEngineering culture and business strengthHiring in SF/NYC. If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/bryan-jadot-00063426/ + https://www.linkedin.com/in/jon-sheller/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

This week I'm joined by Arnav Mishra, who is co-founder and CTO of DOSS. We are exploring the world where AI meets ERP and how DOSS are transforming the ERP landscape and the challenges that come with. Introduction into the problem space of ERP and the problems you’re solving. Historical ERP costs, consultancies and fragmentation and why the problem space is ripe for innovation. The way in which DOSS are re-building ERP from the ground up; There's a great SDLC analogy they stand by. Arnav helps us understand what “great” looks like for DOSS. Understanding some of the engineering challenges, particularly around data, the right data and scale at DOSS. How do engineers think in the abstract ways to build ANY business application. Building blocks, pattern matching, distribured systems, folder builders, UI/UX, agents, Distributed systems etc Arnav helps us understand what/if any challenges you’ve walked into with the rise of: AI Deploying custom built software / module based, low-code software - From a technology/customer standpoint – where are you placing bets on the next 6-12 months? - Hiring and growth at DOSS and why you should join? If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/arnav-mishra/ DOSS Blog: https://www.doss.com/eng-blog Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

This week I’m introducing Benny Chan, Co-founder and CTO at Fireworks AI. Building with Fireworks provides a platform for partners and developers to optimise for speed and scale, whatever their use case, whatever the model. - Who are Fireworks and what are they building? - The Fireworks platform, their use cases (agentic systems, conversational), pricing, partners and we walked through what they are building and why. - OSS + AI Models; Why Fireworks are so passionate about model quality, it’s improvements and customer centricity. - Where’s model speed, quality etc moving towards in the next 6 months? - What are your bets for “AI” for the next 3-6 months? (Feel free to choose the path we can this down) If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/benny-yufei-chen-2238575a/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

Another Enginears podcast welcoming Austin Shepphard, Head of Engineering at Hypha, to talk about building AI-powered financial infrastructure, scaling modern data systems, and rethinking how companies operate with AI-native tooling. We’ll dig into engineering tradeoffs, product decisions, and what it takes to build reliable systems in an AI-first world. Intro into Hypha and the problem space they are tackling. Hypha is an AI-native asset intelligence platform designed for the modern investor that transforms fragmented investment workflows into structured, actionable insights across the asset lifecycle, Core use cases and the evolvement of the space coupled with AI (discussing pivots and ICP's) Key engineering challenges in AI-native financial infrastructure Balancing speed vs reliability Agents + Tooling Engineering Culture Hiring If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/austin-sheppard/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

Ben joined us as CTO and Co-founder of Peregrine Technologies. Ben and Nick, fellow Co-founder spent years building data infrastructure for refugee populations and deploying technology in some of the world's most complex security environments. Peregrine was founded to build mission-critical data infrastructure for law enforcement, health, and human services — and we’re going to be exploring what happens when AI enters that world and why that's so critical now for public service organizations. Intro into Ben and his background Setting the scene for Peregrine, the problem space and the mission Introduction into an example technology use case and solution The enormity of the real-time data + hard to access challenge for public services In-step of Peregrine and the product they have built The impact of AI on public service organizations. The role a Forward Deployed / Deployment Strategiest plays and has always played. If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/brudolph/ Careers: https://job-boards.greenhouse.io/peregrinetechnologies Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

This week I'm joined by John Larkin, Head of Engineering at Rebar. Rebar are driving AI and Computer Vision into Construction Software to help innovate and build faster with tighter collaboration. We unpacked the impact they are having in the construction industry, the enormity of the engineering challenge and some of how they are building. Intro into John and his background. Intro into the problem space of construction Introducing AI and CV into Construction Technical challenges they face at Rebar and why Types of problems they're solving and the people they are looking for to help them solve them. If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/johnlarkin1/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

We welcomed Dan Schiebler, CTO and Co-Founder Artemis Security. Today we'll be talking about the unique technical problems and scale at Artemis, what it means to build with an "AI-native approach," and how they've built a team with an extremely high bar for talent to tackle these complex challenges. Intro into Artemis Security and the problem space Dan's background at Twitter (X), Abnormal AI and founding Artemis. Understanding the technical landscape of "noisy data" and enormous scale How to build a high bar technical team and why in today's AI-native landscape If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/dan-shiebler-10219b42/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

The workforce management and customer support world has been widely spoken about as one of the areas to change in the age of AI. This week we are welcoming John Wang from Assembled to talk to us about the journey of building Assembled (workforce management platform), key engineering/design choices to reducing AI spend. We’ve got a great breakdown in the show of what it’s like to go from processing tens of billions of tokens daily to achieving "LLM frugality," the key engineering challenges faced, and the future of using AI to improve infrastructure. Intro into John's background and Assembled's mission Customer Operations has been widely reported as an area to change in the AI; what's his frontline view of this and what is actually happening? How they built the Assembled platform? Spotting an opportunity to keep performance high but reduce AI spend without impacting customer experience and why these decisions were made We broke down the engineering challenges of replacing models Future bets on agents, infrastructure in AI and where Assembled are heading. If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/johnjianwang/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

This week I’m joined by Matt Lynch, CTO and Co-founder of Sage. Sage are bringing technology modernisation and Applied AI to the healthcare // care home industries. Matt is an ex-Palantir alumni, raised a $35M in Q1 2025, we’re going to be getting under the hood of some of the challenges in the technology <> healthcare intersection. We broke down the problem space of healthcare technology and how it needed a refresh. o   Hardware <> Software Interoperability in healthcare Applying AI to that Legacy Systems + Integration with cloud native + AI solutions/tools. o   Engineering culture + challenges inside of Sage (product/platform challenges; mindset; FDE approach etc) o   Velocity of people able to build with 2 people in o   Anticipated technical/problem spaces to come in the healthcare space Future of Healthcare and what experts think the outlook might look like from a technology standpoint. Future plans for growth for Sage o   Hiring Goals in NYC o   Geographic Expansion If you're keen to share your story, please reach out to us! Guest: https://www.linkedin.com/in/lynchmattj/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.

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/ Powered by Artifeks! https://www.linkedin.com/company/artifeksrecruitment https://www.artifeks.co.uk https://www.linkedin.com/in/agilerecruiter LinkedIn: https://www.linkedin.com/company/enginearsio Twitter: https://x.com/Enginearsio All Podcast Platforms: https://smartlink.ausha.co/enginears Hosted on Ausha. See ausha.co/privacy-policy for more information.