Episodes: 82
Frequency: Irregular
Rating: 4.4/5.0
Estimated listeners: 100 - 1,000
Gender skew: Male
Listener location: USA
Page updated: Nov 4, 2026 · How we check this data
Publicly listed emails
hosts@aiengineeringpodcast.com
Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.
Tobias Macey - Technology podcast host and producer focused on data engineering and AI engineering.
Jonathan Ellis - AI Agents, Software Development Workflows, Code Validation, And How Engineering Teams Should Use Human Judgment.
Ofer Mendelevitch - RAG Architecture, Evaluation Methods, Changing Source Data, And Production AI Pipelines.
Nikunj Bajaj - AI Agent Harnesses, Reliability, Governance, Security, And Enterprise AI Infrastructure.
Aman Agarwal - Observability, Cost Tracking, Evaluation, And Operational Practices For LLM Applications.
What Do Humans Do Now? Rethinking Software Engineering in the Age of AI Agents
October 15, 2026
Summary In this episode, I spoke with Jonathan Ellis about how AI agents are changing the economics of software development and forcing teams to rethink where human time is best spent. We explored his argument that, now that code generation is dramatically faster, traditional human-centered code review is becoming a poor use of attention. Instead, Jonathan makes the case for shifting review earlier in the lifecycle toward specifications, RFCs, and architecture decisions, while investing ...
How to Evaluate RAG Systems When Ground Truth Keeps Changing
October 07, 2026
Summary In this episode Ofer Mendelevitch shares what it really takes to evaluate RAG systems in production when your source data is incomplete, constantly changing, or difficult to validate against a clean ground truth. He explores how RAG has evolved from simple “chat with your PDF” demos into enterprise-grade retrieval systems that require robust ingestion pipelines, hybrid search, reranking, multimodal support, access controls, and refresh strategies for large and dynamic document co...
Harness Engineering for Reliable, Governed AI Agents
September 19, 2026
Summary In this episode Nikunj Bajaj, co-founder and CEO of TrueFoundry, talks about the challenge of building reliable agents on top of inherently variable foundation models. He explores the idea of the agent harness as everything around the model engine: memory and context management, tool and MCP integration, sandboxed code execution, permissions, observability, and guardrails. Nikunj explained how TrueFoundry approaches enterprise AI as a centralized control plane for token traffic, ...
Speaking of Data · Medium booking difficulty · 100 - 1,000 listeners
What AI Means · Medium booking difficulty · 100 - 1,000 listeners
Vanishing Gradients · Medium booking difficulty · 100 - 1,000 listeners
Machine Ethics Podcast episodes · Medium booking difficulty · 100 - 1,000 listeners
AI Engineering Podcast is hosted by Tobias Macey. Its publicly listed email is hosts@aiengineeringpodcast.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.
The publicly listed email for AI Engineering Podcast: hosts@aiengineeringpodcast.com.
Podseeker estimates AI Engineering Podcast reaches 100 to 1,000 listeners per episode. Only the publisher has exact numbers.
AI Engineering Podcast typically books rising experts. Typical guest background: Hands-on expertise building or operating AI and machine-learning systems; guests often have founded or built relevant tools and companies, or hold senior technical roles. Common among recent guests: Founded or led an AI infrastructure company or product; Built AI tools, platforms, or open-source projects; Held senior technical roles related to production AI systems. Recent guests include Jonathan Ellis, Ofer Mendelevitch, and Nikunj Bajaj.
Medium. Guests usually need solid credentials in the topic and an idea that fits the show.
Recent episodes cover Technology, Artificial Intelligence, Machine Learning, Large Language Models, and Ai Agents. Pitch an idea tied to one of these topics and mention a recent episode.
From public sources and our own research: podcast websites, social profiles, podcast feeds, and our data team. Podcast feeds and episodes are checked daily, and details like contacts, recent guests, and booking difficulty are refreshed regularly.
If something here is out of date, ask us to correct it through Podseeker's contact form at podseeker.co/contact. Our research team reviews every request and updates the listing.
Publicly listed emails
hosts@aiengineeringpodcast.com
Looking for the right person? Join Podseeker to find direct host and producer contacts and manage your podcast outreach.
Try us risk free with a FREE 3 days trial.
Join hundreds of PR teams using Podseeker to pitch and land bookings