Top 10 Tech Startups Hiring Junior Developers in Austria in 2026

Table of Contents

• Introduction
• Mostly AI
• Bitpanda
• Bitmovin
• Flinn
• nyra health
• LearningSuite
• Emmi AI
• Another Earth
• Fibionic
• fiskaly
• How to Actually Find These Roles
• How to Evaluate a Startup’s Stability and Upside
• Conclusion: Read the Margins
• Frequently Asked Questions

Mostly AI

Why this Vienna AI scaleup matters for juniors

Among Vienna’s AI startups, Mostly AI has become a reference point for synthetic data generation in banking, insurance, and telecom. Regularly featured in rankings like EU-Startups’ list of Austrian startups to watch, it offers something rare for juniors: an AI-first environment where you work on privacy-preserving ML instead of yet another CRUD dashboard.

For an entry-level engineer from TU Wien, ISTA, or JKU Linz, that translates into day-to-day exposure to tabular and time-series modelling, data anonymisation, and MLOps. Juniors are typically plugged into well-defined roles - Data Scientist, MLOps Engineer, or Backend Engineer - with clear scopes and a senior mentor who reviews every major change.

Tech stack, scope, and salary bands

The core stack revolves around Python, PyTorch, TensorFlow, and Kubernetes on major cloud providers, with TypeScript on the platform and SDK side. Instead of isolated toy models, you help maintain production-grade pipelines that generate synthetic datasets for regulated industries, including banking clients that expect strict GDPR compliance.

• Hands-on work with synthetic tabular and time-series data
• End-to-end exposure to model training, evaluation, and deployment
• Opportunities to touch SDKs and integrations used by external teams

Junior ML and data roles in Vienna typically fall around €48k-€60k gross per year, with the upper end more likely if you bring a strong research background or a relevant thesis.

How to actually get noticed

Because this is not an “any CV welcome” junior shop, your best entry route is a focused portfolio piece: for example, a notebook comparing real vs synthetic tabular datasets and computing basic privacy and utility metrics. Publishing that on GitHub and linking it in your application shows you understand both the math and the compliance angle. Keep an eye on the Speedinvest job board for portfolio companies, where AI and data roles at Mostly AI and its peers often appear before they trend on LinkedIn.

Bitpanda

Fintech scale with a real junior on-ramp

From its Vienna HQ, Bitpanda has grown into Austria’s best-known retail investing and crypto platform, and it regularly shows up near the top of rankings like Seedtable’s overview of Austrian startups. For juniors, that scale matters: hundreds of employees mean structured onboarding, HR that has seen many first-time hires before, and squads where you’re paired with a senior rather than thrown at tickets alone.

Inside those squads, you get hands-on exposure to the realities of fintech: high-traffic APIs, KYC/AML checks, fraud and risk rules, and real-time balance updates that cannot be wrong. That makes Bitpanda particularly valuable if you see yourself later moving into banks, regulators, or larger fintechs in Vienna, Berlin, or Munich.

Most teams work with a modern stack: TypeScript/React on the frontend, Kotlin/Java and Python on the backend, and microservices on AWS or GCP with heavy observability and security tooling. Junior backend or frontend engineers in Vienna typically earn around €45k-€60k gross, with the higher range more likely if you bring strong internships or German at C1 level.

To stand out, side projects help more than buzzwords. A small “Bitpanda-inspired” portfolio dashboard that pulls mock crypto prices from a public API demonstrates that you can model balances, handle edge cases, and think about error states. Showing awareness of regulation (GDPR basics, OWASP top 10, what KYC means) in your cover letter signals you understand why fintech moves carefully.

Roles appear not only on LinkedIn but also on startup-focused boards like the Austrian jobs section on Wellfound, where scaleups often advertise engineering, data, and security positions before they filter into more traditional Austrian job portals.

Bitmovin

Video infrastructure instead of yet another app

If you want to work on the plumbing of internet video rather than yet another to-do app, Bitmovin is one of Austria’s strongest bets. The Klagenfurt-born, Vienna-present company builds video streaming infrastructure used by media and sports brands worldwide, and it regularly appears in ecosystem overviews like StartupBlink’s ranking of Austrian startups.

For juniors, the attraction is twofold: you get to touch low-level topics like codecs and latency, and you do it inside a company praised for its culture. Employee reviews frequently cite Glassdoor scores around 4.5-4.9/5 for leadership trust and work-life balance - an outlier in a startup scene where “move fast” can easily mean “burn out”.

Stack, roles, and what you actually learn

Bitmovin’s engineering teams use a mix of Java, Go, C++, and TypeScript, plus heavy use of cloud infrastructure and CDNs. As a junior Backend Engineer, QA Engineer, or Support Engineer in Vienna or Carinthia, you’re likely to:

• Debug distributed systems that serve large volumes of video traffic
• Reason about performance, memory, and network trade-offs
• Work with APIs and SDKs that other developers rely on in production

Compensation for junior roles typically sits around €45k-€55k gross in Austria, with additional upside if you bring strong systems or video knowledge.

Culture, location, and how to approach them

Bitmovin is used to hybrid and remote collaboration, which is helpful if you split time between Vienna, Klagenfurt, or even short stints abroad. Compared with earlier-stage startups, processes for code review, testing, and incident response are more mature - ideal if you want to learn how high-reliability services are actually run.

To get noticed, build or contribute to something video-adjacent: a small streaming demo, work with FFmpeg/WebRTC, or a performance-focused C++ or Go project. Referencing Austria’s broader reputation for high-quality engineering, as seen in rankings of top software developers in Austria, can also help frame why you’re keen to grow your backend skills in this ecosystem.

Flinn

Medtech compliance as your first real-world playground

Instead of yet another generic SaaS tool, Flinn throws you into the very specific world of medtech and pharma compliance. Its platform helps companies manage regulatory workflows, documentation, and audits - the kind of “boring but vital” software that keeps medical products on the market. In February 2026, Flinn closed a $20M funding round led by HV Capital, highlighted in Vestbee’s overview of Austrian funding rounds, putting it firmly in the fast-scaling Vienna medtech scene.

Why juniors grow fast here

The company is known for structuring engineering into cross-functional compliance squads, where junior and mid-level developers own specific regulatory modules early instead of just fixing bugs on the edge.

• You collaborate daily with QA, legal, and medical experts, not just other coders
• You ship features that must satisfy auditors and regulators, not just product managers
• You learn to document, test, and reason about risk - crucial skills in any regulated AI/ML role

Flinn’s regular participation in FFG programmes also means they’re used to integrating students and fresh graduates into mixed research-product teams.

Stack, salaries, and what the $20M means for you

On the technical side, you work with a modern web stack: React, Node.js (TypeScript), Python, and AWS. With a team in the 50-100 employee range, there’s enough senior coverage for proper code review and mentoring, but still plenty of greenfield work.

Junior roles in Vienna at this kind of Series A/B company typically cluster around €42k-€55k gross per year, sometimes with a small equity slice. A fresh $20M round can translate into roughly 18-24 months of runway if hiring is disciplined - reassuring in a funding environment where, as SeedBlink’s guide to Austrian accelerators notes, founders face increasing pressure for capital efficiency.

How to pitch yourself

A simple but well-structured “compliance checklist” web app in TypeScript + React/Node - with audit logs, permissions, and validations - is a strong portfolio piece. Any exposure to healthcare, pharma, or regulated environments (even a student job in a pharmacy or hospital IT) is worth emphasising; it shows you understand why “move fast and break things” is not an option when patients and regulators are involved.

nyra health

Neuro-AI with real patients, not just benchmarks

nyra health (formerly myMind) builds a digital therapy platform for neurological disorders, combining neuroscience, mobile UX, and backend models. Its recent €20M Series A round in early 2026 put it among Austria’s best-funded health-tech startups, signalling that neuro-AI is no longer a fringe research topic but a serious product category in Vienna’s ecosystem. For juniors, that means your code ends up in the hands of stroke and dementia patients, not just in Kaggle notebooks.

Academic pipeline and junior-friendly hiring

The company is tightly connected to Vienna’s universities and the INiTS incubator, which specialises in spinning out research-heavy projects from TU Wien and Uni Wien into real companies. nyra health has a track record of hiring Prae-Docs and recent graduates into junior engineering and research roles, mirroring how other incubators like Graz’s Unicorn support first technical hires in deeptech spin-offs, as described in the Unicorn startup program overview.

• Close collaboration with clinicians and researchers on study-backed features
• Exposure to medical data pipelines and privacy constraints
• Opportunities to bridge thesis work into production ML or mobile code

Stack, salaries, and where you fit

On the technical side, the stack combines React Native for patient-facing apps with Python, PyTorch, and major cloud platforms like Azure or AWS for model training and deployment. Junior mobile or ML engineers in Vienna typically land around €40k-€55k gross, with the upper end more realistic if you bring a strong thesis on signal processing, neuroscience, or reinforcement learning from TU Wien, JKU Linz, or Uni Wien.

How to approach nyra health

A focused portfolio piece goes a long way: a small cognitive-training or memory game in React Native, instrumented with basic analytics and a short write-up on how you’d evaluate its clinical impact. You can surface opportunities by tracking health- and AI-focused postings on the AustrianStartups careers hub and by watching INiTS and university demo days, where neuro-AI teams often announce internships and junior openings before they hit mainstream job boards.

LearningSuite

In Graz’s compact but ambitious tech scene, LearningSuite stands out by aligning its product with its culture: a training and onboarding platform built by people who visibly care about how juniors learn. Recent backend Node.js roles in Graz have described an environment where seniors are explicitly expected to mentor newer developers, a refreshing contrast to sink-or-swim startups.

Those job ads, surfaced on platforms like the DEVjobs.at listings for Graz, emphasise “expertise development” and collaborative teams. For you as a junior, that usually means code reviews that come with explanations, pair-programming sessions, and clear expectations for how your responsibilities will grow over the first 6-12 months.

On the technical side, LearningSuite leverages a modern stack built around Node.js, GraphQL, and Terraform, with CI/CD pipelines and cloud infrastructure as daily tools rather than buzzwords. Juniors in Graz typically see offers in the €38k-€50k gross range, cushioned by a cost of living still noticeably below Vienna’s. Day to day, you can expect to:

• Build and evolve course-delivery and assessment APIs
• Work with GraphQL schemas that power analytics dashboards
• Contribute to infrastructure-as-code and deployment pipelines

Geographically, you sit in the middle of “Green Tech Valley”, close to TU Graz and the Unicorn startup hub, with easy access to meetups and side projects. Many juniors here combine self-directed online learning with local experience; for example, completing an affordable back end or AI-focused bootcamp such as a 16-week Python/DevOps programme around €1,950 or a 25-week AI product track around €3,660 can provide the foundational skills that make you productive faster once you join a team like LearningSuite.

To approach them, build a small “course player” or onboarding checklist using Node.js and GraphQL, with role-based access and progress tracking. Showing up at Graz JS, cloud, or DevOps meetups - often hosted around the Unicorn centre - and talking about that project with engineers from LearningSuite can be the difference between a cold application and a warm referral.

Emmi AI

In Linz’s steel-and-software mix, Emmi AI is one of the clearest examples of how industrial engineering and machine learning are fusing into a new niche. Founded in 2024, it focuses on AI-powered industrial simulations - digital twins and optimisation models for factories and production lines - and is already being picked up in “startups to watch” lists for Austria. For a junior engineer, that means your models don’t just predict clicks; they help decide how real machines are run.

The draw here is the depth of the problem space. You touch physics-informed ML, numerical simulation, and operations research, often using real process data from manufacturers in Upper Austria’s industrial corridor around Linz and companies like voestalpine. Joining at Seed or early Series A also gives you influence over architecture, tooling, and how AI agents support domain experts on the shop floor.

• Work on optimisation and simulation pipelines instead of pure CRUD backends
• Translate plant-engineer know-how into features and constraints for ML models
• Experiment with digital-twin concepts that many larger R&D labs are only starting to adopt

The typical stack centres on Python with scientific libraries, deep-learning frameworks, and sometimes C++ where performance demands it, all deployed on modern cloud infrastructure. Junior ML or Simulation Engineer roles in Linz usually land around €40k-€52k gross, with the lower local cost of living stretching your salary further than in Vienna. Regional tech job boards like WeAreDevelopers’ listings for Austrian cities give a sense of how these ranges compare across hubs.

To approach Emmi AI, treat your university or hobby simulations as prototypes of what you’d build there. Turn a FEM, CFD, or operations-research project from JKU Linz or TU Wien into a polished GitHub repo, add clear documentation, and include a short note on how you’d integrate domain experts into the modelling loop. In a 2026 overview of startup hiring, RiseWorks highlights that deeptech teams increasingly expect juniors to be “AI-augmented problem solvers” - exactly the profile Emmi AI is likely to favour.

Another Earth

Not many Viennese startups can say their training data comes from orbit. Another Earth focuses on AI-powered synthetic satellite data, generating geospatial imagery and time series that help customers in climate analytics, agriculture, and logistics. In March 2026 it secured a €3.5M seed round, and has since been listed among notable Austrian deeptech companies in overviews like BeBeez’s guide to Austrian startups to watch.

For juniors, the appeal is the blend of space, climate, and computer vision. You work with real satellite constellations and weather-affected imagery rather than clean benchmark datasets, learning to handle clouds, shadows, and sensor drift. Another Earth is also known for recruiting heavily through the AustrianStartups community, sometimes giving “first engineering teammate” responsibility to motivated juniors who show strong portfolios rather than long CVs.

The technical core is a mix of Python, C++, and deep-learning frameworks for image and sequence modelling, all running on cloud GPU infrastructure. As a Junior AI or Geospatial Engineer in Vienna, you can expect offers in the €42k-€55k gross range, with responsibilities such as:

• Training and evaluating models on open Sentinel or Landsat datasets
• Designing pipelines to simulate missing or higher-resolution imagery
• Packaging models into APIs that downstream climate or agri-analytics tools can consume

Austria’s broader climate and Green Tech scene adds context: a recent overview of “Green Tech Startups Austria 2026” counted 228 startups across the sector, showing that skills in geospatial AI are increasingly valuable well beyond a single company.

To approach Another Earth, build a small notebook that classifies land use or detects change over time using open satellite data. Visualise results on maps, document your assumptions, and put everything on GitHub. Pair that with visible participation in local AI or climate-tech meetups in Vienna, and you signal not just technical ability but also that you care about the planetary problems this kind of AI can actually address.

Fibionic

On the industrial outskirts of Linz and Leonding, Fibionic is quietly building something very different from a SaaS dashboard: dragonfly-inspired lightweight fiber materials aimed at mobility and aviation. In March 2026 it closed a €3M seed round led by Redstone, with aws Gründerfonds also involved, positioning it firmly in Europe’s deeptech lane rather than classic software.

Why a deeptech lab can be a great first job

As a junior, you sit where materials science, simulation, and embedded systems meet. Instead of shipping another web form, you might help build internal simulation tools that predict how new fibers behave under stress, or firmware that reads sensor data from physical test rigs. Early hires often join as Junior Software or Embedded Engineers or even Junior Project Managers, owning first versions of tools that scientists and engineers use daily.

• Implement data acquisition and logging for lab and field tests
• Prototype C++ simulation components and performance-critical routines
• Write Python scripts to analyse sensor streams and visualise results

Typical junior embedded or IoT-focused roles in Upper Austria land around €40k-€50k gross, sometimes with more meaningful equity than a comparable SaaS startup. You trade flashy consumer features for hard physics, but you also gain skills that are rare and defensible.

Risks, rewards, and how to pitch yourself

Deeptech timelines are longer: certifying new materials for aircraft or cars is a multi-year process, and product-market fit looks more like validated lab results and pilot programmes than user signups. In a funding environment where, as AustrianStartups notes in its 2026 outlook, capital efficiency and strong IP matter more than hype, that can be a strength.

To get in, lead with hardware-adjacent projects: an Arduino sensor logger with robust C++ code and tested failure modes, or a small simulation written in C++ plus a Python analysis notebook. Show you care about performance, reliability, and repeatable experiments as much as you care about syntax.

fiskaly

Fiscal APIs as a backend finishing school

fiskaly sits in a niche that sounds dry but is technically rich: tax-compliant receipt and fiscalisation APIs for POS systems, payment providers, and SaaS vendors. Instead of consumer-facing UIs, you work on the infrastructure that makes every transaction auditable. That means learning how to design, document, and operate high-uptime APIs that other businesses embed deep in their stacks.

For juniors in Vienna, this is effectively a backend “finishing school”. You’re not just moving JSON around; you’re reasoning about idempotency, versioning, data retention, and legal edge cases. Community job boards regularly surface internships and entry roles at fiskaly, and the company is frequently cited in Austrian startup watchlists as a consistent engineering employer in the reg-tech space.

Stack, responsibilities, and salary band

The core stack revolves around TypeScript/Node.js, with a strong focus on distributed services, observability, and uptime. In some teams, AI techniques are used for anomaly detection or document parsing, giving you an early taste of how ML bolsters compliance products rather than replaces them. Typical junior backend, QA, or devrel roles in Vienna fall around €40k-€50k gross, with scope that quickly expands as you earn trust.

• Design and implement RESTful APIs used by external partners
• Build monitoring and logging to meet strict SLA commitments
• Contribute to SDKs and documentation that other developers actually read

How to position yourself

A strong application usually includes a small “fiscalisation-inspired” project: for example, a receipt-generation API with clear schemas, proper error handling, and basic authentication. In interviews, emphasise your understanding of logging, tracing, and failure modes rather than frameworks alone. If you’re also exploring remote or hybrid options, boards like the RemoteRocketship listings for junior developers in Austria give a good sense of how fiskaly’s offers compare to other API-heavy roles across the country.

How to Actually Find These Roles

Many of the most interesting junior roles in Vienna, Graz, and Linz never make it to StepStone or Karriere.at. Founders quietly hire from meetups, investor intros, or university labs long before a job ad appears on a generic portal. If you only scan the obvious boards, you’re effectively standing at the end of the corridor, trying to read the noticeboard from ten metres away.

To get closer, you need to plug into the places where Austrian startups actually hang out. In practice, that usually means:

• Startup-specific boards: Wellfound for Austria, plus investor job boards from funds like Speedinvest or aws Gründerfonds, which often publish portfolio roles early.
• Community hubs: AustrianStartups’ careers page and its events, where founders regularly announce “first engineer” or internship roles in person.
• University channels: career centres and mailing lists at TU Wien, TU Graz, JKU Linz, and Uni Wien, especially for FFG- or EU-funded projects that must hire juniors.
• Meetups and demo days: ViennaJS, PyData Vienna, GrazJS, Linz Machine Learning, plus demo days from INiTS, Unicorn, aws, and EIC-backed programmes.

The trick is not just knowing these channels exist, but working them deliberately. Instead of spraying CVs, pick a handful of companies from this list, show up at their talks, ask specific questions about their stack, and follow up with a short note and a GitHub link. Many early-stage CTOs here will answer a concise, well-researched email faster than yet another anonymous application in their ATS.

Global remote job platforms can still be useful for calibration. Browsing sections like DailyRemote’s software development listings helps you benchmark salary bands and stack expectations, so you know whether that junior offer in Vienna, Graz, or Linz is fair. But your real edge in Austria comes from walking the local corridors: investor portfolios, university labs, and community events where the next hiring decision is often made over coffee rather than through a “Apply Now” button.

How to Evaluate a Startup’s Stability and Upside

In a funding climate where follow-on rounds are harder and investors push for “capital efficiency”, you cannot treat every cool product demo as a safe career bet. Austrian founders themselves acknowledge this shift; 2026 ecosystem outlooks talk openly about a move away from growth-at-all-costs toward sustainable runways and disciplined hiring. Your job as a junior is to read those signals early, not after the first layoff wave hits Slack.

A simple checklist helps you move beyond vibes:

• Runway: Politely ask how many months of cash they have at current burn. Anything above 18+ months after the latest round is a green flag; a fresh $20M raise or a €3.5M seed can translate into this if hiring is sane.
• Revenue signals: Do they have paying customers and multi-year contracts, or just pilots and POCs?
• Hiring momentum: Scan LinkedIn for steady, sensible growth versus freeze-hire-fire cycles.
• Investor quality: Backing from experienced funds or public programmes usually beats friends-and-family money.
• Mentorship and process: Who will review your code? Is there onboarding beyond “clone the repo and good luck”?

Global hiring guides, such as Aalpha’s playbook on recruiting technical talent, similarly stress the importance of team maturity and clear processes alongside pure tech skills. The same logic applies from the other side of the table: you are evaluating them at least as much as they are evaluating you.

It also helps to sanity-check a startup’s promises against the broader market. Overviews of established tech employers in Europe, like Relocate.me’s survey of international tech companies, show what stable, process-heavy environments look like. If a five-person team claims “we’re like a mini Google” but cannot describe basic review practices, that’s a red flag.

In interviews, translate this checklist into concrete questions about customers, burn, team growth, and mentoring. You’re not trying to interrogate founders; you’re trying to see what’s behind the door before you step out of the TU corridor and into your first real job.

Conclusion: Read the Margins

Back in that TU Wien corridor, the student with the coffee eventually steps closer to the noticeboard. The bold “Top 10” doesn’t change, but the scribbles around it suddenly matter more than the rankings themselves. You can almost feel the hours in the labs and libraries behind every crossed-out ID.

Treat this startup list the same way. You now know that behind each logo in Vienna, Graz, or Linz is a specific mix of runway, mentorship, AI maturity, and domain complexity. Mostly AI and Another Earth live at the frontier of synthetic data, Bitpanda and fiskaly turn regulation into code, nyra health and Flinn sit close to hospitals and clinics, Fibionic and Emmi AI translate physics into software, while LearningSuite and Bitmovin show how solid engineering cultures feel from the inside.

The next step is not to hunt for “the best” startup, but to find the room where you’ll actually grow. That means writing small but sharp portfolio projects, showing up at meetups, and asking blunt questions about code review, on-call, and who will be responsible for your first production bug. It also means sanity-checking what you hear against how established teams elsewhere operate; even rankings of top mobile and software companies in Austria can help you recognise when a tiny startup is promising enterprise-level perks without the structure to back them.

If you want more perspective, listen to how other juniors describe getting hired in detailed breakdowns on channels like Iman Musa’s analysis of 2026 junior hiring. Then come back to your own corridor, your own list, and your own margins. The win is not simply appearing on someone’s leaderboard; it’s walking through a door in this ecosystem and becoming the kind of AI-savvy engineer Austria quietly needs more of.

Frequently Asked Questions