ITDS

Some platforms you build. Some platforms you launch into the world and watch change things.

This one helps farmers in India access global markets, learn about crop safety, and scale toward international certification.

It was built by engineers assembled in four weeks - greenfield architecture, from the ground up, mobile and web.

The team: Frontend, Backend, Full-stack, Mobile, QA, Scrum.
The timeline: one month from brief to operational.
The result: live. In production. Making an impact.

If you're mid or senior-level and looking for the kind of work that makes a strong entry in your portfolio - this is the environment.

We're always building teams like this. Check open roles and see what's in motion → Link in comments

AI is no longer just assisting.
It is becoming part of how decisions are made 🤖
It structures information, suggests actions, and supports ex*****on.
But people still decide and take responsibility.

Last week at CIOFEST Warsaw the discussion went beyond IT adoption.
Agnieszka Demianiuk and Karolina Rostkowska represented ITDS at the event.
It focused on what AI integration really looks like across the whole organisation, including the back office.

It is not about whether to implement.
It is about how teams actually use AI.
Where it helps.
Where it creates friction.
And whether people work with it daily or find ways around it.

Most AI projects in financial services don’t fail because of the model.
They fail because of the team built around it.

In Portugal’s fintech sector, this is becoming increasingly difficult to ignore.

AI adoption is no longer the challenge.

74% of fintechs already integrate AI into their products.
90% use it internally.

AI is no longer a differentiator.
It’s a baseline.

And yet the delivery gap is real.

What we see across projects is a pattern.
The talent exists, but not in the combinations required.

Production ML.
Cloud infrastructure.
Regulatory awareness.

Individually available. Together, exceptionally rare.

Hiring cycles don’t match how AI projects evolve.
By the time a team is in place, the scope has already shifted.

Compliance is no longer something you add later.
With the EU AI Act, systems need to be explainable, monitored, and auditable from day one.

For many CTOs, this is no longer a technology problem.
It’s a team structure problem.

In our latest article, we break down what this means in practice and why companies that rethink how engineering teams are built are closing the gap faster.

👉 Read the full article in comments

In financial services, scalability and security pull in opposite directions.
Most teams pick a lane.
For a global fund management platform - multi-jurisdictional, distributed teams, regulated infrastructure - that wasn’t an option.

ITDS deployed a dedicated 5-person team:
DevOps, SecOps, Kubernetes.
Embedded in the client’s environment.
Part of the team, not parallel to it.

The result: a production-grade platform built for complexity, and for the evolution asset management will continue to demand.

Read the case study → link in BIO ⬆️

Still guessing your market rate?

In Portugal, the difference between local and international roles can mean
€2,000+ per month.
We analysed current ITDS data to show what top roles actually pay in 2026:
→ Full-Stack→ Data / ML→ DevOps / Cloud

No theory. Just real ranges.
Check where you stand →
https://eu1.hubs.ly/H0tLHL70…

IT Salaries in Portugal 2026: 3 Most In-Demand Roles (With Real Salary Ranges) - ITDS PORTUGAL If you are an IT professional in Portugal and you have not checked your market rate recently, there is a reasonable chance you are undervaluing yourself. IT salary in Portugal 2026 looks very different from what it did two years ago – and the gap between professionals who actively track their mark...

What We Learned Turning a POC into Production with Just 1 Engineer -
4 Things CTOs Underestimate

The best engineering partnerships are not about managing a remote team.
They are about trusting someone with a real problem.

1. Give them the problem, not just the task. The right engineer shapes the spec - he does not wait for one.

2. Full ownership moves faster than shared responsibility. One person, the whole stack, daily deploys. The accountability was the advantage.

3. Nearshore works when someone is genuinely embedded in your world - your cadence, your decisions, your standards. Distance becomes irrelevant.

4. Production is not a bigger POC. It needs someone who thinks about what happens two years from now, not just the next sprint.

That is the kind of engineer worth finding.
Full case study in the link → Link in comments

One Engineer. One Engagement. POC to Production: What Nearshore Looks Like When It Works. | ITDS Explore expert insights on IT outsourcing and nearshoring. Stay ahead with the latest trends, success stories, and ITDS company updates.

Portuguese fintech is among the most AI-ready sectors in Southern Europe.
The companies turning that potential into production systems are not waiting for the talent market to catch up - they are building around it.

Dedicated engineering teams embedded in client environments.
Senior MLOps and cloud profiles that understand financial services regulation.
Compliance built in from sprint one, not retrofitted after an audit.
A model that scales with project phases rather than locking in fixed headcount when requirements are still evolving.
The AI delivery gap in Portugal is real.
It is also closing - for the companies that decided the team structure was the problem worth solving first.

🔗 Read the full breakdown → https://eu1.hubs.ly/H0txm8D0

AI Fintech Portugal: Why Portuguese Financial Companies Need Flexible Engineering Teams - ITDS PORTUGAL This is not a comfortable observation for CTOs who have spent months selecting the right technology stack, evaluating vendors, and securing board-level buy-in. But it is an accurate one. The bottleneck in AI integration at Portuguese fintech companies in 2026 is not what technology to use. It is how...

AI is no longer a project. It's infrastructure.

In Poland, demand for AI/ML talent is growing 25–40% YoY - faster than any other IT domain. And yet 55% of companies still can't find the right people.

Here's what the market actually looks like, based on 3,500+ ITDS recruitments in 2025:
→ Senior AI/ML Engineer: 180–220 PLN/h B2B
→ Senior MLOps Engineer: 190–220 PLN/h B2B - one of the highest-paid roles in data
→ 4 distinct paths: AI/ML Engineer, MLOps, Data Scientist, Applied AI -
each with a different profile and pay range.

This is not hype.
It's a structural shift - and it's already priced into the market.

If you're in software and thinking about moving into AI, you're not early anymore. But you're still on time.
Full breakdown - salaries, skills, certifications, career paths - on the https://eu1.hubs.ly/H0ttQ160 blog.

Link in BIO

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78% of IT candidates in Poland never see the best roles.

Not because they’re not qualified - but because those roles are filled before they’re ever posted.
The strongest opportunities don’t go through job ads.
They move through recruiter networks, direct outreach, and curated talent pools - like ITDS.

If you’re only applying to what’s visible, you’re already late.

→ Join the ITDS talent pool and get access before the market does.
https://eu1.hubs.ly/H0trBL00