Java Developer (Tech Lead)
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This job posting is seeking a Java Developer with technical lead experience to oversee a team developing one of the most popular mapping solutions, used by over 2 billion people annually on mobile platforms. The ideal candidate has extensive Java knowledge and experience with image rendering, GIS, message queues, and overseeing development team architecture and practices. As the initial key hire, they will lead an energetic team improving the app efficiency and map aesthetics.
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GyrusAI - Broadcasting & Streaming Applications Driven by AI and ML
GyrusAI - Broadcasting & Streaming Applications Driven by AI and MLGyrus AI Gyrus AI: AI/ML for Broadcasting & Streaming
Gyrus is a Vision Al company developing Neural Network Accelerators and ready to deploy AI/ML Models for Video Processing and Video Analytics.
Our Solutions:
Intelligent Media Search
Semantic & contextual search for faster, smarter content discovery.
In-Scene Ad Placement
AI-powered ad insertion to maximize monetization and user experience.
Video Anonymization
Automatically masks sensitive content to ensure privacy compliance.
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We help media companies streamline operations, enhance media discovery, and stay competitive in the rapidly evolving broadcasting & streaming landscape.
🚀 Ready to Transform Your Media Workflow?
🔗 Visit Us: https://gyrus.ai/
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Learning and understanding AI concepts is satisfying and rewarding, but the fun part is learning how to work with AI yourself. In this presentation, author, trainer, and experienced technologist Brent Laster will help you do both! We’ll explain why and how to run AI models locally, the basic ideas of agents and RAG, and show how to assemble a simple AI agent in Python that leverages RAG and uses a local model through Ollama.
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Vaibhav Gupta BAML: AI work flows without Hallucinations
Vaibhav Gupta BAML: AI work flows without Hallucinationsjohn409870 Shipping Agents
Vaibhav Gupta
Cofounder @ Boundary
in/vaigup
boundaryml/baml
Imagine if every API call you made
failed only 5% of the time
boundaryml/baml
Imagine if every LLM call you made
failed only 5% of the time
boundaryml/baml
Imagine if every LLM call you made
failed only 5% of the time
boundaryml/baml
Fault tolerant systems are hard
but now everything must be
fault tolerant
boundaryml/baml
We need to change how we
think about these systems
Aaron Villalpando
Cofounder @ Boundary
Boundary
Combinator
boundaryml/baml
We used to write websites like this:
boundaryml/baml
But now we do this:
boundaryml/baml
Problems web dev had:
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
Dynamic components? forget about it.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
Dynamic components? forget about it.
Reuse components? Good luck.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
Dynamic components? forget about it.
Reuse components? Good luck.
Iteration loops took minutes.
boundaryml/baml
Problems web dev had:
Strings. Strings everywhere.
State management was impossible.
Dynamic components? forget about it.
Reuse components? Good luck.
Iteration loops took minutes.
Low engineering rigor
boundaryml/baml
React added engineering rigor
boundaryml/baml
The syntax we use changes how we
think about problems
boundaryml/baml
We used to write agents like this:
boundaryml/baml
Problems agents have:
boundaryml/baml
Problems agents have:
Strings. Strings everywhere.
Context management is impossible.
Changing one thing breaks another.
New models come out all the time.
Iteration loops take minutes.
boundaryml/baml
Problems agents have:
Strings. Strings everywhere.
Context management is impossible.
Changing one thing breaks another.
New models come out all the time.
Iteration loops take minutes.
Low engineering rigor
boundaryml/baml
Agents need
the expressiveness of English,
but the structure of code
F*** You, Show Me The Prompt.
boundaryml/baml
<show don’t tell>
Less prompting +
More engineering
=
Reliability +
Maintainability
BAML
Sam
Greg Antonio
Chris
turned down
openai to join
ex-founder, one
of the earliest
BAML users
MIT PhD
20+ years in
compilers
made his own
database, 400k+
youtube views
Vaibhav Gupta
in/vaigup
[email protected]
boundaryml/baml
Thank you!
Designing Low-Latency Systems with Rust and ScyllaDB: An Architectural Deep Dive
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Join us for a workshop where we’ll address these challenges head-on and explore how to architect low-latency systems using Rust. During this free interactive workshop oriented for developers, engineers, and architects, we’ll cover how Rust’s unique language features and the Tokio async runtime enable high-performance application development.
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- Create and compile a real-world app with Rust
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- Negotiate tradeoffs related to data modeling and querying
- Manage and monitor the database for consistently low latencies
Enterprise Integration Is Dead! Long Live AI-Driven Integration with Apache C...
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We will discuss the the role of enterprise integration in an era where Large Language Models (LLMs) and agent-driven automation can interpret business needs, handle routing, and invoke Camel endpoints with minimal developer intervention. You will see how these AI-enabled systems help weave business data, applications, and services together giving us flexibility and freeing us from hardcoding boilerplate of integration flows.
You’ll walk away with:
An updated perspective on the future of “integration” in a world driven by AI, LLMs, and intelligent agents.
Real-world examples of how tool-calling functionality can transform Camel routes into dynamic, adaptive workflows.
Code examples how to merge AI capabilities with Apache Camel to deliver flexible, event-driven architectures at scale.
Roadmap strategies for integrating LLM-powered agents into your enterprise, orchestrating services that previously demanded complex, rigid solutions.
Join us to see why rumours of integration’s relevancy have been greatly exaggerated—and see first hand how Camel, powered by AI, is quietly reinventing how we connect the enterprise.
Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...
Hybridize Functions: A Tool for Automatically Refactoring Imperative Deep Lea...Raffi Khatchadourian
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution:...
Challenges in Migrating Imperative Deep Learning Programs to Graph Execution:...Raffi Khatchadourian
Java Developer (Tech Lead)
- 1. Java Developer (Tech Lead) We are looking for a Technical Lead to join a dynamic and rapidly growing company in London. If you are an exceptional individual with a passion for development, innovation and technology who wants to the evolve one of the most exciting mapping solutions for cities, airports and shopping centres – look no further. Used by over 2 billion people a year on mobile platforms with its detailed, real-time updated data and clear; aesthetic maps, it is a competitor for scalable and high traffic contenders on the market. Key skills: - Extensive knowledge and experience with Java - Experience with image rendering, GIS or Message Queues - Knowledge or experience with RabbitMQ or AKKA - Practical knowledge of overseeing the architecture and engineering practices of a team of developers Desirable skills: - Nod.Js, Elasticsearch or Scala - Previous experience with mapping tools - Experience within leading or mentoring other Developers - Strong critical thinking and familiarity with Agile principles You will be the initial key hire for the development of the product and have the opportunity to lead an energetic team of developers working to improve the efficiency of the app and the general aesthetics of the maps. This is a one of a kind opportunity to take ownership of the growth and expansion of this amazing platform!