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Servicios Conredsis | Estos son los más nuevos modelos MAI anunciados en Microsoft Build 2026. Es importante porque marcan el paso de Copilot y los servicios de Microsoft hacia una IA propia e integral. #maimodels #microsoftbuild2026 #microsoftai #tech #aiengineering
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🚀 Hiring: Director of AI Engineering 💵 $350K–$900K 🌍 USA 🇺🇸 | Canada 🇨🇦 | UK 🇬🇧 | Australia 🇦🇺 Lead AI engineering teams, deploy machine learnin 📩 Apply: olasunkantaiwo2021@zohomail.com #AIEngineering #ArtificialIntelligence #MachineLearning #TechJobs #Hiri
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Loop Engineering is the next step beyond prompt engineering. Learn how AI systems iterate, evaluate, and improve until they reach a goal. Guide Link: medium.com/@techlatest.net/l… #loopengineering #aiengineering #aiagents #llms
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🧠 Your AI is only as good as its context. 🧠 As AI systems move into real-world products, context becomes the difference between a promising demo and a reliable, scalable application. Static model outputs are no longer enough. Modern AI systems need secure, structured connections to tools, data, workflows, APIs, and dynamic environments. That’s where Model Context Protocol (MCP) comes in. At MLCon Munich 2026, Johanna Wachsmann, Daniel Sogl, Mirza Klimenta, and Melanie Bauer will explore how AI engineering is evolving beyond isolated model responses toward context-aware systems, scalable pipelines, and production-ready infrastructure. You’ll get practical insights covering: 🔧 Scalable NLP pipelines ⚙️ Spec-driven development 🏭 AI in manufacturing environments ☁️ LLM tooling and infrastructure in Azure 🛡️ The security and architecture questions behind MCP adoption Don’t miss the sessions shaping the next decade of AI engineering. MLcon | 📍 Munich | 📅 June 22–26, 2026 | mlconference.ai/munich/progr… Want to dive deeper into MCP? Our whitepaper “Model Context Protocol Under the Microscope” takes a closer look at MCP architecture, clients, servers, tools, resources, sessions, maturity levels, and the security risks teams need to understand before bringing MCP into production. Read the full whitepaper: ➡ mlconference.ai/model-contex… #MLCon #MLConMunich #ModelContextProtocol #MCP #AIEngineering #LLM #MLOps #AIInfrastructure #SoftwareEngineering
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AI won't replace software engineers. It will replace repetitive coding. The next generation of engineers will win through: • System design • Product thinking • AI orchestration Code is cheaper. Judgment is priceless. 👇 medium.com/@kharodiya97/the-…
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Everyone wants to build AI agents. But before agents come APIs. Before APIs come databases. Before databases come fundamentals. The deeper I dive into Spring Boot, FastAPI, and Agentic AI, the more I appreciate solid software engineering principles. #AgenticAI #AIEngineering
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Different Types of LLM Algorithms and Architectures: A Practical Guide for AI Professionals 🚀 Large Language Models (LLMs) are transforming how we interact with technology. From intelligent chatbots and code assistants to enterprise search and AI agents, LLMs are becoming the foundation of modern Artificial Intelligence. But not all LLMs are built the same. Understanding the major LLM architectures helps Data Scientists, AI Engineers, and Technology Leaders choose the right model for the right problem. Future Trends The future of LLMs is moving toward: Multimodal AI (text, image, audio, video) Agentic AI systems Smaller and more efficient models Enterprise-grade AI applications Personalized AI assistants Key Takeaways ✅ Transformers remain the foundation of modern LLMs. ✅ Different architectures serve different business needs. ✅ RAG improves factual accuracy through external knowledge. ✅ Agentic AI is pushing beyond simple text generation toward autonomous decision-making. As AI continues to evolve, understanding these architectures is becoming a critical skill for anyone working in Data Science, Machine Learning, or Artificial Intelligence. 💬 Which LLM architecture do you think will have the biggest impact on enterprise AI over the next five years? #ArtificialIntelligence #GenerativeAI #LLM #LargeLanguageModels #RAG #AgenticAI #MachineLearning #DataScience #AIEngineering
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Real-time voice AI requires an absolute 400ms end-to-end latency budget (ASR $\rightarrow$ LLM $\rightarrow$ TTS $\rightarrow$ playback). 🚨🗣️Yet, teams keep deploying voice features on standard chat APIs with an 800ms TTFT. If your model takes a full second just to think, your agent feels broken to the user.The latency budget is the architecture. Stop building text wrappers for real-time voice.Optimize your streaming stack: mcal.in #VoiceAI #AIEngineering #LLMOps
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Agentic AI's next competitive edge isn't the model - it's interoperability. The winners will build secure, connected AI systems that work across apps, data, and workflows. That's where enterprise AI is headed. #AgenticAI #AIEngineering #Brainium
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From AI-powered diagnostics and reliable AI applications to building secure autonomous agents and mastering software architecture, modern software teams face massive challenges turning complex systems into production-ready solutions. At JAX London, international experts will lead deep-dive sessions to help your team build, scale, secure, and operate modern software systems under real-world conditions: Victor Rentea: Architecture Observability in Agentic Engineering Emily Jiang: Building Intelligent Enterprises: AI-Powered Java with LangChain4j & CDI Ram Lakshmanan: How We Used ML/AI to Forecast Production Outages Eoin Woods: Keeping Control by Driving Better Architecture Decisions with Architecture Principles Join them and other industry leaders at JAX London. Book now & benefit from the Early Bird offers until June 18: ✓ Save up to £755 with Early Bird prices ✓ Get a free workshop day when booking a 3-day pass ✓ Receive one year fullstack access to devmio 6 months access to video recordings ✓ Save 10% when you buy 3 or more tickets Secure your ticket before the Early Bird offer ends: f.mtr.cool/hnjnnrrdea Explore Full Program : f.mtr.cool/mnthzznjqt #JAXLondon #EnterpriseAI #SoftwareArchitecture #Java #AIEngineering
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Autonomous browser agents are hitting a hard wall: 'CAPTCHA-by-Design'. 🚨🛡️ Cloudflare Turnstile, Datadome, and hCaptcha mean entire global security infrastructures exist explicitly to defeat your web automation tools. If your product roadmap depends on scraping public sites at scale, you are burning capital on an unwinnable arms race. Plan accordingly. Build durable infrastructure: mcal.in #BrowserAgents #WebScraping #AIEngineering
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A founder sent me her MSA before signing. Page 7: uncapped liability. Net-90 below it. So I built ClauseGuard — flags risky clauses missing protections, with redlines. 16-rule playbook, offline, eval-gated. rohitraj.tech/en/agents #LegalTech #AIEngineering #HireADeveloper
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10 practical learnings from building domain-specific AI solutions, from AI vision and workflow design to evaluation, context management, monitoring, and production readiness. Watch the talk: eclipsesource.com/blogs/2026… #AI #DomainSpecificAI #AIEngineering
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Any freelancers or AI engineers in Munich interested in an meetup? Would love to chat about AI engineering, programming, apps, and current projects. Let me know if you’re in. #Munich #AI #AIEngineering #VibeCoding #Codex #Cursor
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Agent QA should be willing to block the thing everyone wants to ship. Especially when the issue is enforcement, not effort. #AIEngineering #openclawchronicles
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The screenshots show an AI audit that uncovered design system violations, architecture issues, and validation problems before deployment. Generating code is easy. Knowing what shouldn't ship is the real skill. #DesignEngineering #AIEngineering #BuildInPublic #MVP #ProductDesign
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