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Guest:
https://www.linkedin.com/in/vijaye/
https://www.statsig.com/careers/
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00:00 - Enginears Intro.
01:01 - Vijaye Intro.
02:51 - Why start Statsig?
05:17 - Statsig Intro.
09:51 - What has changed since starting the company in 2021?
12:23 - How Statsig are able to make data driven decisions?
15:32 - Day to day at Statsig.
19:23 - Where have been some inflection points on the journey?
22:28 - How do you take some of your customer's building strategy and implement into your own?
25:18 - Quantification of data.
27:28 - Where are companies going to be betting over the next 3-6 months time and how does that help direct your team as a leader?
29:18 - How are Statsig looking to grow?
31:29 - Vijaye & Statsig Outro.
32:20 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/spiros/
https://resolve.ai/about-us#careers/
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00:00 - Enginears Intro.
01:12 - Spiros Intro.
07:42 - Resolve AI Intro.
13:13 - Engineering challenges at Resolve AI.
20:42 - 'Your best engineers can be a bottleneck in your team' - what does this mean?
22:47 - Where will AI projects will succeed and fail?
25:01 - Where is Spiros placing bets for the next 3 - 6 months inside Resolve AI?
26:51 - What types of people are Resolve AI looking for and where?
30:51 - Spiros & Resolve AI Outro.
31:30 - Enginears Outro.
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Manglende episoder?
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Guest:
https://www.linkedin.com/in/puiwah/
https://farohealth.com/company/careers/
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00:00 - Enginears Intro.
00:52 - Patrick Intro.
03:36 - What is Patrick noticing in the narrative of AI?
06:22 - Faro Health Intro.
09:25 - How Faro Health are improving the speed and performance of clinical health?
13:19 - Patrick's first couple of weeks at Faro Health as CTO.
15:56 - What does applying AI look like in a compliance heavy environment and the challenges involved?
19:20 - Using and deploying AI agents in the clinical trial process.
22:12 - What is Patrick introducing into Faro Health's AI to improve speed and performance?
24:27 - How would you advise teams to improve speed and performance of their own LLMs?
26:21 - Patrick's experience building AI teams in general and within the Life Sciences space + any advice?
30:02 - Where is Patrick placing bets in the next 3-6 months in the AI sphere?
33:15 - What will the development of the AI coding tools do for the industry?
38:24 - Where are Faro Health growing the business?
39:33 - Patrick & Faro Health Outro.
40:07 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/gregmfoster/
https://www.linkedin.com/in/merrill-lutsky/
https://graphite.dev/careers/
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00:00 - Enginears Intro.
00:41 - Graphite Intro.
03:19 - Graphite's niche.
07:03 - Problem spaces between code generation and the outer loop of review, test and deploy.
12:21 - Enterprise customers vs small customers.
15:56 - Product and engineering challenges building Diamond.
22:03 - Where is AI going into the 3-6 months?
27:05 - What types of people are Graphite looking for?
30:57 - Greg, Merrill & Graphite Outro.
32:06 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/damondbanks/
https://flatfile.com/careers/
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00:00 - Enginears Intro.
05:52 - Damon & Flatfile Intro.
06:53 - Agentic architectures; what they mean to Damon and experience implementing them into Flatfile?
14:29 - What does the cognitive offload look like in Damon's team?
17:01 - Where have some engineering challenges been?
23:28 - Where is some of the industry defining practices be?
27:11 - Who is defining the best practices the most?
30:28 - Where is AI going in the next 3-6 months?
32:46 - Is working with AI hard to plan?
34:48 - Hiring best practices and the next 3-6 months at Flatfile?
38:32 - Flatfile location?
38:49 - Damon & Flatfile Outro.
39:57 - Enginears Outro.
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Guest:
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https://www.cortex.io/careers/
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00:00 - Enginears Intro.
00:27 - Anish & Cortex Intro.
03:02 - The role Cortex plays.
06:32 - New engineering challenges Anish is seeing.
11:09 - Where could we be with AI in the next couple of years?
19:49 - Where is developer productivity going?
24:13 - What other points are really impactful when creating high performance & high excellence engineering teams?
30:04 - Where are Cortex going in the next 3-6 months?
31:50 - Where are Cortex looking to grow?
36:26 - Anish & Cortex Outro.
37:13 - Enginears Outro.
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Guest:
https://x.com/dsa/
https://www.linkedin.com/in/russelldsa/
https://livekit.io/careers/
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00:00 - Enginears Intro.
01:05 - Russ Intro.
06:54 - LiveKit Intro.
13:45 - LiveKit today.
29:54 - Where are LiveKit's engineering challenges shifting from and to?
40:28 - Vision for LiveKit for the next 6-12 months.
45:39 - Russ & LiveKit Outro.
49:01 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/ryanstevens3/
https://ramp.com/careers/
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00:00 - Enginears Intro.
01:04 - Ryan & Ramp Intro.
04:42 - Early days and ideas at Ramp.
10:04 - Failures and learnings at Ramp.
19:08 - How long did the feature development platform take to build?
20:57 - Difficult to know what technologies to use in 12 months time and leverage.
22:26 - Ramp's set of standards for the universal interface.
25:24 - 3 things Ryan would do differently if he could start at Ramp again.
29:45 - Where are Ramp using LLMs and AI?
38:06 - Where is the cost of LLMs going to be in 3-6 months time?
46:24 - One trait an engineer needs to thrive in today's technology climate?
48:50 - Ryan & Ramp Outro.
49:57 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/ankitsingharya/
https://inscope.notion.site/Careers-InScope-074ab3e2feb74a3ea49d12427ec052e8/
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00:00 - Enginears Intro.
00:43 - Ankit Intro.
01:57 - Leading AI at Inscope.
03:32 - Inscope Intro.
04:52 - AI amplify roles rather than replace them.
06:40 - What is an LLM and what is agentic architecture?
12:42 - Successful implementations of where Inscope have been able to apply them.
15:23 - Frameworks and customer implementations.
17:46 - What is Ankit noticing in the space?
20:30 - Top tips from Ankit to maintain simplistic architecture for future scalability with AI.
22:34 - Inscope's implementations and lessons.
25:39 - Where is the AI playbook going in the next 3-6 months?
27:25 - Future of Inscope.
30:25 - Ankit & Inscope Outro.
31:16 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/gilfeig/
https://www.merge.dev/careers/
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Twitter: https://x.com/Enginearsio
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00:00 - Enginears Intro.
00:48 - Gil & Merge Intro.
03:09 - Current challenges in data portability and accessibility.
04:21 - Where do Merge fit into this?
05:57 - Where are Merge's engineering challenges?
07:39 - How proactive have Merge been within the AI space and then also reactive?
10:25 - What is MCP (Model Context Protocol) and how is it being used at Merge?
15:59 - Security aspects around AI and MCP.
19:00 - Where Gil sees the future of AI infrastructure and at Merge too.
20:30 - Where will Merge be growing?
23:11 - What skills does a current engineer need to have today to succeed (outside curiosity)?
25:25 - Gil & Merge Outro.
26:00 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/devin-currie-19794217b/
https://www.viam.com/careers/
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00:00 - Enginears Intro.
01:01 - Devin Intro.
01:56 - Viam Intro.
04:57 - Real life use cases where Viam is being deployed.
07:17 - What makes up the Viam platform and what engineering challenges are you seeing?
14:12 - What does the Series C funding round for Viam mean?
16:02 - Biggest learning from working at a robotics company?
18:52 - Are Viam using AI?
21:31 - Where are Viam moving towards in the rest of 2025?
24:12 - Where will Viam be hiring?
30:02 - Devin & Viam Outro.
30:56 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/imjaredz/
https://www.promptlayer.com/careers/
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00:00 - Enginears Intro.
00:37 - PromptLayer origin.
02:24 - PromptLayer Intro.
03:52 - PromptLayer & prompt engineering today and the evolution going forward.
08:18 - Challenges building PromptLayer.
11:04 - How is Jared and PromptLayer focusing the team on what matters?
15:17 - What is Vibe coder?
17:00 - What Vibe coding lacks?
18:10 - Prompt engineers don't have to be technical.
21:30 - Taking an idea exploring it through A/B testing.
24:56 - Observability in prompting.
28:26 - How would Jared best advise someone to build an operational LLM?
30:50 - Next 12 months at PromptLayer.
33:38 - Jared & PromptLayer Outro.
34:16 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/alexsalazar/
https://www.linkedin.com/in/sampartee/
https://jobs.ashbyhq.com/arcadeai/
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00:00 - Enginears Intro.
00:57 - Sam Intro.
02:00 - Alex Intro.
03:02 - Arcade Intro.
09:37 - Difficulty in breaking down the 'black magic'.
11:26 - Breakdown of calling tools and handling authentication.
13:12 - On an enterprise level.
14:24 - Differences in building AI for enterprises vs startups.
16:54 - From AI promise to ROI.
20:57 - Where are the engineering challenges going to be in 3-6 months time?
23:37 - Where the AI space will be in 3-6 months?
30:01 - Where are Arcade building and growing the team?
31:32 - Alex, Sam & Arcade Outro.
32:30 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/michael-nugent-355955198/
https://www.linkedin.com/in/mlstevanovic/
https://tebi.com/careers/
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00:00 - Enginears Intro.
00:35 - Michael Intro.
01:28 - Milan Intro.
02:59 - Tebi Intro.
16:09 - Engineering & product challenges at Tebi.
26:11 - How can people implement Kotlin Multiplatform and why?
35:05 - What is next for Tebi?
38:26 - Growth over the business in Amsterdam in the next 12 months.
38:55 - Michael, Milan & Tebi Outro.
39:59 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/jondayton/
https://www.tract.eco/careers/
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00:00 - Enginears Intro.
00:58 - Jon Intro.
05:02 - TRACT Intro.
07:28 - Engineering challenges at TRACT.
13:47 - Traceability challenge within AgriTech and sustainability space.
17:17 - Optimisation challenges at TRACT.
22:32 - Next 12 months at TRACT.
26:01 - Where do TRACT operate?
27:01 - Business growth at TRACT - where are the plans to grow?
31:33 - Jon & TRACT Outro.
32:55 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/jakemulley/
https://www.linkedin.com/in/alvaroazabal/
https://www.physicsx.ai/careers/
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00:00 - Enginears Intro.
01:30 - Jake & PhysicsX Intro.
04:22 - Alvaro Intro.
07:06 - Cloud compute challenges Jake is facing.
10:02 - Geometry model.
11:38 - Challenges building the geometry model.
13:19 - Infer and compute challenges.
15:07 - The tech demonstrator.
18:18 - Classical engineering challenges.
20:49 - Is that a common notion in physics design?
21:45 - What challenges do you find when engineering for accuracy?
24:16 - As the business grows, are you planning for upcoming challenges?
26:48 - What makes good training practices and processes?
29:04 - Common pitfalls?
30:20 - PhysicsX plans over next 12 months.
33:14 - Jake, Alvaro & PhysicsX Outro.
35:06 - Enginears Outro.
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Guest:
https://x.com/UnsettledGreg/
https://www.linkedin.com/in/greg0wilk/
https://apply.workable.com/fuseenergy/
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00:00 - Enginears Intro.
00:57 - Greg & Fuse Energy Intro.
05:26 - How to attract the best talent?
06:29 - Building the next generation energy major - why and how?
10:31 - Engineering thinking of the business.
16:53 - Billing engine engineering challenges.
23:46 - How challenging has it been to deal with UK regulation as a new business?
26:43 - No product managers - why?
30:25 - Next 12 months at Fuse Energy.
32:06 - Greg & Fuse Energy Outro.
33:16 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/randydaal/
https://www.kadena.io/careers/
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00:00 - Enginears Intro.
01:07 - Randy & Kadena Intro.
04:09 - The problems Kadena are solving for their adopters?
06:38 - Challenges with engineering with blockchain technology.
08:44 - How Kadena are enabling adoption?
12:07 - What is SpireKey?
18:37 - When does Randy think the world will adopt blockchain technology (fully)?
20:19 - Big names in the Web2 space that are making big strides in the Web3 space?
21:43 - What is Proof of Work (PoW) and how you use it to scale?
23:22 - Any other reasons why people want to use the Proof of Work (PoW) model?
26:47 - Next 12 months at Kadena?
29:33 - Crypto bull market?
30:40 - Types of people Kadena are looking for.
31:52 - Randy & Kadena Outro.
32:32 - Enginears Outro.
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https://www.welcometothejungle.com/en/companies/yubo/jobs
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00:00 - Enginears Intro.
01:03 - Arthur & Yubo Intro.
02:42 - Mission of Yubo.
04:37 - Social media landscape at the inception of Yubo vs today's landscape.
08:43 - UX design at Yubo.
09:41 - Building Yubo from 0 users to 80M users and maintaining them.
18:24 - What were some of the inflection points for Yubo?
20:22 - Monetization of the platform and how it created safety.
23:55 - Upcoming product features (security) at Yubo.
27:46 - Next 12 months of product plans at Yubo.
28:48 - One bit of advice for founders or co-founders who are just starting out?
30:53 - Arthur & Yubo Outro.
31:30 - Enginears Outro.
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Guest:
https://www.linkedin.com/in/nad-chishtie/
https://lovable.dev/careers/
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00:00 - Enginears Intro.
01:14 - Lovable Intro.
04:38 - Nad Intro & Lovable origin.
08:42 - Multiple iterations of Lovable.
11:13 - Importance of crafting the right team in an AI native environment.
12:52 - Driving factor behind early stage decisions.
16:32 - Technical challenges at Lovable.
19:17 - Design perspective at Lovable.
20:31 - Next 12 months of AI.
24:24 - What is Lovable's AI tech stack?
26:11 - How is Nad assessing technical ability in interviews?
28:01 - Hiring at Lovable.
31:40 - Nad & Lovable Outro.
32:54 - Enginears Outro.
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