JetSoftpro

JetSoftPro is a Software & AI Systems Engineering company with 20+ years of experience building and modernizing complex software products and systems.

10/29/2026

Some good news from Goodfirms! 🎉

JetSoftPro has been ranked #2 among product design companies in Lviv.

After 20+ years of building software, we've learned that good product design depends as much on engineering decisions as it does on user experience.

When designing a product, we consider how its workflows connect to business logic, how data moves between systems, and how the architecture will support future changes.

Today, that also includes designing for AI. As agents become part of business workflows, products need reliable APIs, clear permissions, and ways to keep automated actions under control.

We're glad to see our team's work recognised and grateful to the clients who trust us with their products.

👉 See the GoodFirms ranking: https://www.goodfirms.co/product-design-companies/lviv

10/28/2026

🚀 Looking for your next engineering challenge?

We're hiring at JetSoftPro, with opportunities across software engineering, fintech, data science, and IT infrastructure.

Our current openings:
🛠️ IT System Administrator: https://careers.jetsoftpro.com/vacancies/it-system-administrator/
💻 Senior Software Engineer (US-based): https://careers.jetsoftpro.com/vacancies/senior-software-engineer-usa-based/
🔗 Senior Data Integration Engineer: https://careers.jetsoftpro.com/vacancies/senior-data-integration-engineer-fintech-banking/
📊 Middle Strong / Senior Data Scientist: https://careers.jetsoftpro.com/vacancies/middle-strong_senior-data-scientist-early-campaign-signals-poc/

Check the details in our latest video. Take a look and see if one of these roles is right for you!

10/27/2026

Should you build, buy, or assemble your next AI feature? 🤔

Once an AI pilot proves useful, the next decision is how to turn it into a reliable part of your product without spending months building what already exists.

The answer depends on where your business needs control and what actually makes the feature valuable.

For standard capabilities, buying an existing solution often makes sense. If your advantage comes from how AI works with your data, business rules, and existing systems, assembling a solution around proven models and infrastructure gives you more flexibility. Building from scratch becomes worth considering when proprietary data, specialised models, or strict technical requirements make existing solutions insufficient.

In our experience, many AI projects fall somewhere in the middle. Companies need to own the workflows and decisions that make their products different, while relying on existing technology for everything else.⚙️

At JetSoftPro, we help companies make these decisions before committing to development, so they can invest engineering time where it creates the most value.

Take a look at the comparison, and if you're weighing these options for your own product, let's discuss what makes sense for your architecture. 👇
https://jetsoftpro.com/contact-us/

10/20/2026

We're looking for an IT System Administrator to join our team at JetSoftPro! 💻

This role could be a great fit if you enjoy solving technical problems, can make decisions independently, and feel comfortable taking responsibility for keeping things running smoothly.

One important detail: this is a fully remote role, with working hours from 7 PM to 3 AM to support the US team.

We've shared more about the role in the carousel. Take a look, and if it sounds like a good match, we'd love to hear from you!

🔗 Apply here: https://careers.jetsoftpro.com/vacancies/it-system-administrator/

10/16/2026

Your company may already be using AI across its products and internal processes. But how much of your existing software is actually ready for autonomous agents? 🤖

Agents need more than access to an LLM. They need to interact with business systems, access the right data, have the right permissions, and perform actions reliably.

That often requires changes to the existing architecture, although it doesn't necessarily mean rebuilding the product.

We've outlined six areas to review before moving toward an AI-centric architecture, with a practical checklist on the final slide. ⚙️

At JetSoftPro, we help companies assess their existing systems, identify architectural gaps, and implement the changes needed to support AI agents.

Swipe through and check where your software stands today. If you're planning to introduce AI agents into an existing product, let's discuss what your architecture needs to support them. 👇

10/15/2026

Three new opportunities at JetSoftPro, each with a different engineering challenge. 🚀

🔹 Senior Software Engineer (US-based): https://careers.jetsoftpro.com/vacancies/senior-software-engineer-usa-based/

🔹 Senior Data Integration Engineer (FinTech / Banking): https://careers.jetsoftpro.com/vacancies/senior-data-integration-engineer-fintech-banking/

🔹 Middle Strong / Senior Data Scientist: https://careers.jetsoftpro.com/vacancies/middle-strong_senior-data-scientist-early-campaign-signals-poc/

If you enjoy solving complex software problems, working with financial data, or exploring what machine learning can predict from real business data, one of these roles might be worth a closer look.

And if someone in your network comes to mind, feel free to send this their way. 🤝

10/14/2026

Your legacy system may be closer to agentic AI readiness than you think. 🚀

For many companies, the biggest obstacle to adopting AI agents isn't outdated technology itself. It's the inability of those agents to securely access the data, business logic, and capabilities already inside existing systems.

And solving that problem doesn't necessarily require a complete rebuild.

The more practical approach starts with an architecture audit to identify what's already working, what needs to become accessible, and where targeted modernization can unlock new capabilities.

In our latest article, we explore a 5-stage roadmap from legacy systems to agentic AI:

🔹 Legacy → Connected → AI-ready → Agent-enabled → Agentic

We also explain how to assess five critical areas — data, APIs, business logic, identity and permissions, and infrastructure — before introducing autonomous workflows.

At JetSoftPro, we help businesses modernize existing software architectures and integrate AI capabilities without unnecessary disruption to systems that already deliver value.

👉 Read the full article to understand where your architecture stands and what it takes to move forward: https://jetsoftpro.com/blog/agentic-ai-modernization-legacy-roadmap/

10/06/2026

Three rules are forming around AI this month. Most teams will notice only after they hit them. 🫣

The FTC is investigating rogue AI agents. A new part of the EU AI Act goes live on October 28. And model releases keep shipping late, limited, or cancelled.

Swipe to see what each one means and how to stay ready. 📲

10/02/2026

Could we build Data from Star Trek today? 🤖

We already have some of the building blocks: multimodal models can process language, vision, and audio; AI agents can use tools and execute multi-step plans; retrieval systems and knowledge graphs can extend what a model knows.

Building Data would require these components to work as a persistent cognitive system.

The architecture would need long-term episodic and semantic memory, a continuously updated world model, planning across multiple time horizons, reasoning under uncertainty, and verification loops that check conclusions before actions are taken.

It would also need to preserve context and update its internal state as new information arrives without losing consistency over time.

This is one of the most interesting directions in AI systems engineering today: moving from models that respond to individual inputs toward systems that can maintain state, reason, plan, and learn from ongoing interaction.

How much of that architecture can we build today? We break Data down in the carousel. 👇

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Website

https://jetsoftpro.com/

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