JetSoftpro

JetSoftpro

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JetSoftPro is a software development firm that provides One-stop shop solutions on the global market.

Photos from JetSoftpro's post 07/30/2026

βœ… Building one AI agent is a development task.
Building ten becomes an architecture decision.

As more companies move from AI experiments to production, the number of agents keeps growing. Each of them needs secure access to business systems.

Building a custom integration every time doesn't scale. That's one of the reasons MCP has become one of the fastest-growing AI standards over the past year.

It gives AI agents a common protocol for working with enterprise tools, APIs, and data sources. πŸ“²

At JetSoftPro, we see MCP as part of the infrastructure behind production AI. Choosing the protocol is important, but so are permissions, observability, and governance.

In this carousel, we explain how MCP works, where it fits into enterprise architecture, and what engineering teams should know before implementing it. πŸš€

07/30/2026

πŸš€ New engineering missions are now open at JetSoftPro.

This time, we're looking for engineers to help build AI-powered products, high-performance search systems, production machine learning solutions, and a brand-new creator commerce platform.

We're currently hiring:

β€’ Middle Strong Full Stack Developer: https://careers.jetsoftpro.com/vacancies/middle-strong-full-stack-developer/

β€’ Automation QA Engineer (Playwright + AI): https://careers.jetsoftpro.com/vacancies/automation-qa-engineer-playwright-ai/

β€’ Senior Golang Engineer (Elasticsearch): https://careers.jetsoftpro.com/vacancies/golang-engineer-with-elastic-search/

β€’ Senior Machine Learning Engineer: https://careers.jetsoftpro.com/vacancies/senior-machine-learning-engineer/

πŸ“© Watch the video to learn more about each role, and apply on our career page.

Know someone who'd be a great fit? Feel free to tag them in the comments. πŸ‘‡

Photos from JetSoftpro's post 07/24/2026

πŸŽ‰ Another year has been added to JetSoftPro's story.

Technology never stands still. Over the past 20+ years, we've seen trends come and go, new technologies reshape the industry, and AI become part of everyday software engineering.

What keeps us moving forward is a strong engineering foundation. It helps us understand which innovations are worth adopting, and how to turn them into software that creates real business value.

As we celebrate the Company Day, we'd like to thank our clients, partners, and, of course, our team. Thank you for continuing to build, grow, and move forward with us. πŸ’™

πŸš€ In the carousel, we're sharing a few of the engineering principles that continue to guide the way we build.

Photos from JetSoftpro's post 07/24/2026

Every AI assistant eventually runs into the same limitation. 🚫

For years, APIs have been the standard way to connect software, and they still power modern application architecture.

But as AI agents become more capable, a new challenge appears: they need a consistent way to discover and use those integrations. πŸ“²

That’s exactly what Model Context Protocol is designed to solve.
MCP doesn’t replace APIs. It standardizes how AI systems access them, making agentic applications easier to build, extend, and maintain.

➑ Swipe to explore the difference between APIs and MCP, and why both matter in modern AI architectures.

Photos from JetSoftpro's post 07/22/2026

πŸ” We're looking for an Automation QA Engineer with solid Playwright experience and a practical approach to using AI in everyday engineering.

You'll be joining a team building an AI-powered Computer Vision platform for the insurance industry.

More about the role is in the carousel.

For the full job description and to apply:
πŸ”— https://careers.jetsoftpro.com/vacancies/automation-qa-engineer-playwright-ai/

And if this sounds like someone in your network, tag them below. πŸ‘‡

07/22/2026

🧠 The 2026 World Cup gives us a rare opportunity to see several advanced AI systems operating together in a live production environment.

The tournament uses connected ball sensors, computer vision, 3D player models, stadium digital twins, domain-specific language models, and real-time video processing. None of these systems operate in isolation, because their value depends on how accurately and quickly data can move between them. πŸ”

This is where the tournament becomes especially relevant for product and engineering teams. Real AI integration requires more than selecting a capable model. It depends on data architecture, latency, evaluation, fallback logic, observability, and clearly defined human responsibility.

Football provides a highly visible setting for these challenges, but the architecture behind them is closely related to what companies face when bringing AI into business-critical workflows.

We reviewed the tournament’s most interesting implementations and gathered the engineering lessons that can be applied far beyond sport.

πŸš€ Read the full article and let us know which technology you think has the strongest enterprise potential: https://jetsoftpro.com/blog/ai-world-cup-2026-technology-behind-tournament/

07/14/2026

Mission update: we're expanding two engineering teams. πŸ‘¨β€πŸ’»

This week, we're looking for:

πŸ›Έ Senior Golang Engineer (Elasticsearch): https://careers.jetsoftpro.com/vacancies/golang-engineer-with-elastic-search/

πŸ›Έ Senior Machine Learning Engineer: https://careers.jetsoftpro.com/vacancies/senior-machine-learning-engineer/

If you're interested in building scalable search infrastructure or production-ready ML solutions, we'd love to hear from you.

07/14/2026

πŸ“Š 88% of companies use AI somewhere in their products.
Only 16% have scaled it across the organization.

Your first thought is probably budget or maybe tooling. But that's rarely the real gap. What actually separates those two groups is where AI lives in the architecture β€” whether it was built in from the start or bolted on somewhere along the way. 🧩

In our latest blog, we get into:
β†’ The one test that tells you instantly which type of product you have
β†’ Why 80% of AI projects fail β€” and what the successful 5% do differently
β†’ 8 concrete signs your AI integration is actually working (not just installed)
β†’ Where to start if the honest answer is "we're not quite there yet"

Link in the comments πŸ‘‡

Photos from JetSoftpro's post 07/09/2026

⚽ One of the biggest AI experiments of 2026 is happening at the FIFA World Cup.

More than 1.5 billion people are watching AI assist referees in real time. The technology is remarkably accurate, yet the biggest debates are still about human judgment and accountability.

That's a conversation every company building AI should be paying attention to. It's also one of the stories featured in this month's July in Tech.

This newsletter also covers:

πŸ“„ What the EU AI Act enforcement means for businesses using AI in Europe.

🧠 Why GPT-5.6's launch under government oversight could reshape future AI releases.

πŸ’Ύ How compute constraints are becoming a strategic challenge, even for the world's largest tech companies.

Swipe through the carousel for the key takeaways, and let us know: Which July development do you think will have the biggest impact on AI adoption?

07/08/2026

Summer usually slows things down. However, new projects don't wait for September. πŸš€

Thinking about your next career move? Here are a few opportunities worth exploring:

πŸ›« Golang Engineer (Elasticsearch)
πŸ›« Middle iOS Developer
πŸ›« Senior Python (MCP) Developer
πŸ›« Senior AI Developer
πŸ›« Senior Machine Learning Engineer

Learn more about each role and apply here:
πŸ‘‰ careers.jetsoftpro.com

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