We are currently looking for passionate early-career professionals and recent graduates to join our October cohort for an intensive, 6-month training program to become Data Engineering (with Databricks) Consultants.

We don’t expect you to be a Data Engineer on day one, but we do expect you to have the drive to become one. Upon completing the program, you’ll work within our EMEA and US customer teams to help them solve their data engineering, ML, MLOps, GenAI, LLMOps, and cloud migration puzzles.

DATAPAO's Data Engineering Academy is a 6-month intensive training program launching in early October 2026. It is designed to scale you up into a top-notch Data Engineer (with Databricks) Consultant.

The program is put together and run by consultants and technical Instructors who have delivered Databricks projects and enabled data professionals across EMEA for years. This means you will have the opportunity to learn from the world-class consultants and instructors who built DATAPAO's Gold Partner legacy within the Databricks Partner Ecosystem.  

Phase 1 (Month 1-3)

This will be a high-intensity learning phase. You’ll follow a bi-weekly sprint model: one week of deep-dive technical classes, followed by one or two weeks of hands-on project delivery. You’ll master the stack we use for our global clients, specifically Apache Spark and Databricks on AWS/Azure.

Phase 2 (Months 4-6)

During this period, you’ll gradually move into complex capstone projects and also start shadowing our senior consultants on real-life engagements. The phase focuses on building your consulting skills by delivering simulated projects and shadowing real calls to observe how we navigate requirements and advise stakeholders. You will also have the opportunity to contribute to internal strategic projects, eg. building an automatic migration tool. 

Post-Graduation

Once you graduate, you’ll officially join our project teams. Over time, as your seniority grows, you’ll transition into delivering and/or leading complex end-to-end projects across our entire global portfolio.

What does it take to fit the bill?

What do we offer?

The base salary for this position is 900,000 HUF gross/month. Additionally, you will receive a 750,000 HUF gross bonus at the end of each quarter (dependent on program milestones completion) up until your first work anniversary.

We will kick-off the selection process in mid-May for our upcoming October 2026 cohort.

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role: Our group is responsible for building software enabling both the large-scale quantitative research operations that drive WorldQuant’s platform and the production of our portfolio. The team is currently embarking on a multi-year journey to provide a powerful, scalable, and efficient platform to drive the firm’s next decade of growth. We are looking for someone who can own some of the unique technical challenges inherent in the problem and who can bring solid experience and perspective to the team.

What You’ll Bring:

A successful candidate will possess:

• A minimum of 7 years of writing production-quality code in Python on Linux platform
• Candidate must be willing to learn C++. Experience in C++ is a strong plus
• Candidate must have strong interest and motivation to work with machine learning, deep learning, backtesting platform design and development technologies. Prior experience is not required but will be considered as a strong plus.
• Strong understanding and experience with Linux system programming fundamentals
• Ability to develop large-scale, distributed systems
• Strong understanding of data structures, algorithms, high-performance application design, and concurrency patterns.
• Self-motivated and able to work independently with minimal direction
• Proficiency in English

An outstanding candidate will also have experience with one or more of:

• Developing systems for managing and performing computation on large-scale graph data
• Streaming / dataflow systems
• Candidates need not have prior experience in financial services.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 
  
  

#LI-DN1

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

The Role We are seeking an exceptional Python Lead Engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. 
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

What You'll Bring

• Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 
• 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems.
• Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. 
• Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. 
• Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). 
• Expertise in version control systems (Git), CI/CD practices, and agile methodologies. 
• Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. 
• Proven track record of mentoring junior engineers and fostering a collaborative team environment. 
• Experience in the finance industry is a plus but not required. 
• Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.

About WorldQuant BRAIN:

BRAIN is a group within WorldQuant similar to a traditional B2C fintech setup. Our mission is to simplify quant finance and provide global remote-work opportunities to participants, while they learn quant finance, AI and ML concepts. WorldQuant BRAIN provides an advanced crowdsourcing platform for external participants to contribute signals, data, and more.

What You’ll Bring:

• 2+ years demonstrated experience developing scalable and robust software.
• Passion about software engineering, be strongly driven to build and run real-world applications at scale.
• Eagerness to learn and introduce new technologies. Be curious about what's happening in the tech world.
• Excellent coding skills, solid understanding of the broad Python ecosystem including Numpy, Pandas and Asyncio. Expertise in Python web frameworks such as Django, DRF, Flask or others.
• Experience with SQL databases (MySQL, PostgreSQL), including schema design, query optimisation and migrations.
• Experience with microservices, caching tools, data visualization, log collection and aggregation, search, queuing systems.
• Experience with Linux environment and shell scripting.
• Excellent debugging and problem solving skills.

What We Offer:

• Competitive compensation package 
• Core benefits include: premium private health insurance and life insurance with savings plan  
• Support for every aspect of life through Employee Assistance Program and fully covered sick leave 
• Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences 
• Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams 

#LI-MH1

As a Senior Software Engineer at Diligent:
You build things that scale - and you don’t stop at “it works.” 
You design clean, reliable backend systems, shape architecture decisions, and turn data into something powerful using AI/ML.
If you’re a Python-focused engineer who’s comfortable with cloud-native development, data pipelines, and solving real - world performance challenges, this is your space. You’ll be hands - on with modern tech (AWS, SQL/NoSQL, IaC), working in Agile teams where your ideas influence both the codebase and the product. If terms like scalability, distributed systems, APIs, data processing, and machine learning actually mean something in your day-to-day - you’ll feel at home here.

Here’s a breakdown of what you’ll do (not all of it, just the important stuff):

• Design, implement, review, and test features in an Agile environment
• Contribute to system architecture and shape the future-state design of the platform
• Build and optimize scalable data processing solutions
• Develop and integrate AI/ML capabilities into data workflows
• Prototype and validate backend approaches when needed
• Collaborate with Product Managers and Engineering Managers to refine requirements and user stories
• Ensure reliability, scalability, and cost-efficiency of solutions
• Work closely with cross-functional teams to ensure smooth delivery to production
• Follow and promote best practices in code quality and testing

These are the essentials you’ll need to get an interview:

• 5+ years’ experience in a hands-on development role at a commercial software company
• Strong experience with Python and common libs
• Experience with SQL and NoSQL databases, preferably PostgreSQL and ElasticSearch
• Solid experience with cloud native development (preferably AWS)
• Hands-on experience with Infrastructure as Code using Terraform or AWS CDK (TypeScript)
• Problem-solver attitude - Technology agnostic approach
• Good written and oral communications
• Solid troubleshooting ability and skills
• Ability to contribute to the effectiveness of a high-performing agile team, and to the product innovation.
• Successfully manage own workload, and take personal responsibility and ownership for delivery, behaviors, and self-improvement
• Keen to improve processes and share knowledge across the team.

It would be great if you had these to, but we’ll support you if you don’t:

• Experience with system design and scalable distributed systems
• Proven experience building and maintaining data pipelines
• Experience with Apache Spark and/or Apache Airflow
• Familiarity with AI/ML models and their integration into data pipelines
• Understanding of cost-efficient data and AI processing
• Experience with CI/CD pipelines, containerization, and cloud deployments (e.g., Docker, GitHub Actions)
• Experience with Test-Driven Development (TDD)

We are seeking an experienced Product Manager to lead the strategy, development, and implementation of the new systems, tools, and business processes that will power the next stage of growth.

Key Responsibilities

• Partner with leadership and department heads to define and communicate the vision for new solutions and tools that increase business outcomes.
• Transform strategic goals into actionable product solutions, aligning technical capabilities with business priorities.
• Lead the end-to-end product lifecycle - from discovery and requirements gathering to release, implementation into the business process, and continuous optimization.
• Act as a bridge between business stakeholders and technical teams, ensuring clarity, alignment, and transparency at every stage. Work closely with engineering and design teams to ensure timely, high-quality delivery.
• Analyze existing business processes and identify opportunities for automation and improvement. Re-engineer processes and implement new, effective solutions.
• Collaborate with business analysts, product designers, development teams, and other departments to get measurable outcomes. Be able to cover niche projects or product stages independently. 

Qualifications

• 5+ years as a Product or Project Manager with product expertise in a fast-paced digital or tech-driven company, delivering innovations with positive measurable results.
• Experience leading cross-functional teams and delivering impactful results.
• Deep understanding of modern product and project management practices. 
• Good understanding of when development is needed or not needed to solve the problem.
• Strong analytical mindset with the ability to make data-informed decisions.
• Strong organizational, planning, and delivery skills are a must.
• Excellent communication with strong stakeholder engagement and alignment skills.
• Proven records in business process analysis, optimization, and digital transformation.
• Experience in building automations to optimize processes and manual tasks.
• Self-driven, highly organized, and comfortable working remotely across time zones.
• Proficiency in building no-code/low-code prototypes and tools to validate hypotheses in the early stages.
• Previous BA experience is a plus.
• Fluent in English (spoken and written).

What We Offer

• Opportunity to shape the backbone systems of a modern, data-driven digital company.
• Autonomy to lead meaningful projects from ideation to impact.
• A collaborative, innovation-first environment that values initiative and experimentation.
• Reduced working hours on Fridays during the summer.
• Schedule: Monday–Friday, 1:00/2:00 PM – 9:00/10:00 PM EET.

Why Join Us

You’ll be at the intersection of technology, process innovation, and business growth - building systems that empower our teams to work smarter, faster, and more collaboratively. If you’re a strategic thinker who loves turning complexity into clarity and ideas into scalable solutions, we’d love to meet you.

At Scale AI, we’re not just building AI tools—we’re pioneering the next era of enterprise AI. As businesses race to harness the power of Generative AI, Scale is at the forefront, delivering cutting-edge solutions that transform workflows, automate complex processes, and drive unparalleled efficiency for the largest enterprises. Our Scale Generative AI Platform (SGP) provides foundational services and APIs, enabling businesses to seamlessly integrate AI into their operations at production scale.

We’re looking for a Backend Engineer to help bring large-scale GenAI systems to production. In this role, you’ll build the core infrastructure that powers AI products for some of the world’s largest enterprises—designing scalable APIs, distributed data systems, and robust deployment pipelines that enable production-grade reliability and performance. 

This is a rare opportunity to be at the center of the GenAI revolution, solving hard backend and infrastructure challenges that make AI truly work at enterprise scale. If you're excited about shaping how AI systems are deployed and scaled in the real world, we want to hear from you.

At Scale, we don’t just follow AI advancements — we lead them. Backed by deep expertise in data, infrastructure, and model deployment, we are uniquely positioned to solve the hardest problems in AI adoption. Join us in shaping the future of enterprise AI, where your work will directly impact how businesses operate, innovate, and grow in the age of GenAI.

You Will:

• Design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure.
• Develop core services and APIs that integrate AI models and enterprise data sources securely and efficiently, enabling production-scale AI adoption.
• Architect scalable distributed systems for data processing, inference, and orchestration of large-scale GenAI workloads.
• Optimize backend performance for latency, throughput, and cost—ensuring AI applications can operate at enterprise scale across hybrid and multi-cloud environments.
• Manage and evolve cloud infrastructure (AWS, Azure, or GCP), driving automation, observability, and security for large-scale AI deployments.
• Collaborate with ML and product teams to bring cutting-edge GenAI models into production through efficient APIs, model serving systems, and evaluation frameworks.
• Continuously improve reliability and scalability, applying strong engineering practices to make AI systems robust, maintainable, and enterprise-ready.

Ideally, You Have:

• 4+ years of experience developing large-scale backend or infrastructure systems, with a strong emphasis on distributed services, reliability, and scalability.
• Proficiency in Python or TypeScript, with experience designing high-performance APIs and backend architectures using frameworks such as FastAPI, Flask, Express, or NestJS.
• Deep familiarity with cloud infrastructure (AWS and Azure preferred), including container orchestration (Kubernetes, Docker) and Infrastructure-as-Code tools like Terraform.
• Experience managing data systems such as relational and NoSQL databases (PostgreSQL, DynamoDB, etc.) and building pipelines for data-intensive applications.
• Hands-on experience with GenAI applications, model integration, or AI agent systems—understanding how to deploy, evaluate, and scale AI workloads in production.
• Strong understanding of observability, CI/CD, and security best practices for running services in enterprise or multi-tenant environments.
• Ability to balance rapid iteration with production-grade quality, shipping reliable backend systems in fast-paced environments.

Collaborative mindset, working closely with ML, infra, and product teams to bring complex GenAI systems into production at enterprise scale.

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Staff Software Engineer to serve as a senior technical leader on the Vantage platform. You will drive the design and delivery of complex, cross-cutting capabilities – spanning document AI pipelines, LLM integrations, compliance infrastructure, analytics, and platform extensibility. Beyond your own code, you will act as a technical multiplier: influencing architectural decisions, setting quality standards, and developing the engineers around you. This is a role for someone who leads through depth, judgment, and impact.

Job Responsibilities:

• Technical Leadership: Drive the technical design and delivery of significant Vantage platform capabilities, from architecture and API contracts through deployment, monitoring, and iteration.
• Quality & Standards: Define and uphold engineering standards for the Vantage codebase – covering code quality, service reliability, performance, security, and compliance – and drive their adoption across teams.
• Strategic Collaboration: Act as a senior technical voice in cross-functional planning with product management, ML engineering, cloud architecture, and engineering leadership; translate business priorities into actionable technical roadmaps.
• Platform Improvement: Lead initiatives to improve Vantage platform health at scale: service decomposition, observability, CI/CD maturity, and developer productivity.
• Operational Excellence: Own high-severity incident response for Vantage cloud services; drive post-mortems and systemic reliability improvements.
• Engineering Mentorship: Mentor Senior and Principal Engineers on the Vantage team; build a culture of technical rigor, shared ownership, and continuous learning.
• Technical Innovation: Evaluate and champion adoption of new technologies – from GenAI model integrations to cloud-native tooling – that strengthen ABBYY's Document AI differentiation.

Job Requirements:

• 10–13 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Strong command of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated ability to mentor Senior and Mid-level Engineers and partner with Engineering Managers on technical direction
• Experience leading technical design reviews and influencing architectural decisions across team and product boundaries

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Track record of delivering production-grade systems that meet enterprise compliance, security, and reliability standards
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

Job Responsibilities:

Technical Leadership & Architecture

• Guide architectural decisions for computer vision and multimodal systems
• Drive implementation of novel ML approaches and best practices
• Lead technical design reviews and architecture discussions
• Establish patterns for model development and deployment
• Evaluate and introduce new technologies and methodologies
• Ensure technical excellence across ML initiatives

Team Mentorship & Growth

• Mentor senior and junior machine learning engineers
• Foster a culture of engineering excellence and knowledge sharing
• Guide career development of team members
• Lead technical discussions and learning sessions
• Review and provide feedback on technical approaches
• Help build and maintain high engineering standards

Technical Implementation & Scale

• Lead development of complex ML systems and architectures
• Guide optimization of model performance and efficiency
• Establish frameworks for model evaluation and validation
• Drive improvements in development and deployment processes
• Ensure production readiness and system reliability
• Architect scalable ML solutions

Job Requirements:

Education & Experience

• MS or PhD in Computer Science, Engineering, Mathematics, or related field
• 8+ years of experience in Machine Learning/AI
• Deep expertise in computer vision and deep learning
• Proven track record of leading successful ML projects
• Experience mentoring engineers and driving technical excellence

Technical Expertise

• Expert knowledge of computer vision and multimodal architectures
• Deep understanding of ML system design and scalability
• Strong programming skills in Python and modern ML frameworks
• Extensive experience with production ML systems
• Proven ability to solve complex technical challenges
• Strong background in performance optimization

Leadership & Communication

• Demonstrated ability to mentor and grow engineers
• Strong track record of driving technical decisions
• Excellence in technical communication and documentation
• Experience leading architectural discussions
• Ability to influence and drive consensus
• Track record of fostering team growth

This role offers the opportunity to shape both our technical direction and team growth while working on cutting-edge computer vision systems. The ideal candidate will combine deep technical expertise with strong mentorship abilities to drive both project success and team development.

Here are some of our local benefits:

About the role:

ABBYY Vantage is our flagship Document AI platform – a cloud-native, microservices-based product that combines purpose-built AI, OCR, NLP, and direct LLM integration to help enterprise customers extract, classify, and act on data from any document. Vantage 3.0, our latest release, introduces native Azure OpenAI integration, enterprise-grade compliance and redaction, a real-time analytics dashboard, and a growing library of pre-configured AI skills. Over 10,000 customers trust ABBYY – including Fortune 500 companies like DHL, Johnson & Johnson, FDA, PwC, KeyBank, Spotify, and H&R Block – to automate their most complex document workflows.

We are looking for a Senior Software Engineer to join the Vantage engineering team. You will be a hands-on contributor building and evolving the services that power Vantage's document AI capabilities – from OCR pipelines and skill training workflows to API integrations and analytics infrastructure. You bring strong engineering fundamentals, a quality-first mindset, and a drive to deliver reliable, scalable software in a cloud-native environment.

Job Responsibilities:

• End-to-End Development: Design, develop, test, and deploy features and services within the Vantage platform, contributing to areas such as document processing pipelines, AI skill management, cloud infrastructure, and API layers.
• Code Quality: Write clean, maintainable, well-tested code; actively participate in code reviews and champion engineering best practices across your team.
• Cross-Functional Collaboration: Work closely with product managers, UX designers, ML engineers, and fellow software engineers to translate Vantage feature requirements into well-architected solutions.
• Continuous Improvement: Identify and surface improvements to existing Vantage services, tooling, and delivery workflows; contribute to reducing technical debt and increasing engineering velocity.
• System Reliability: Monitor the health and performance of Vantage cloud services; investigate and resolve production incidents in a timely manner.
• Technical Growth: Stay current with advances in Document AI, cloud-native patterns, and GenAI integration approaches that could enhance the Vantage platform.

Job Requirements:

• 5–9 years of professional software engineering experience with deep expertise in C# .NET and C++, willing to work with both languages
• Proven experience designing, implementing, and operating CI/CD pipelines for building, testing, and deploying workflows using GitHub Actions and/or Azure DevOps Pipelines
• Good understanding of microservices architecture, distributed system design, and cloud-native patterns at enterprise scale
• Demonstrated track record of delivering high-quality, testable code
• Strong analytical and debugging skills with the ability to investigate complex issues across distributed systems

Desired Qualifications

• Experience in cloud, preferably using Microsoft Azure (AKS, Storage, Key Vaults, Azure SQL or equivalent)
• Hands-on experience designing and operating workflow-driven systems (orchestration, retries, timeouts, and state management)
• Experience integrating Machine Learning, Neural Networks or LLMs into enterprise applications and workflows
• Familiarity with OCR, NLP and computer vision technologies
• Comfort operating across a globally distributed engineering organization spanning multiple regions and cultures

Here are some of our local benefits:

About the role:

As a trusted partner for intelligent automation, we solve highly complex problems for our enterprise customers and put their information to work to transform the way they do business. Innovation and excellence run through our veins, and you'll work with experts who are creating market-leading technologies, using Machine Learning, Artificial Intelligence, and an advanced, sophisticated tech stack.

We are seeking a skilled Staff Software Engineer to drive the modernization and evolution of our C++ Computer Vision library, including the development of new algorithms specifically for Intelligent Document Processing (IDP). This role focuses on deep technical expertise to deliver robust, high-performance Computer Vision solutions that support our product teams. Our extensive library incorporates algorithms from Classical Computer Vision, Machine Learning, Deep Learning, to cutting-edge Multimodal models. The ideal candidate will design and implement core library architecture while mentoring team members and collaborating across functions to ensure the long-term success of our vision technology. Strong experience with Computer Vision concepts and algorithms is highly valued.

Job Responsibilities:

Technical Leadership & Innovation

• Design and implement major architectural improvements to our C++ Computer Vision library
• Drive technical decisions for library modernization, scalability, and performance
• Establish technical standards and best practices for C++ development
• Lead implementation of critical algorithms and optimization initiatives
• Design robust error handling, testing, and verification systems
• Develop solutions for code quality, maintainability, and developer experience

Technical Mentorship & Collaboration

• Mentor senior and junior engineers on technical challenges
• Provide expert guidance on complex modernization implementations
• Drive adoption of modern C++ engineering best practices
• Facilitate technical knowledge sharing and design discussions
• Contribute technical insights to roadmap planning
• Elevate team capabilities through knowledge transfer

Architecture & Innovation

• Design and implement high-performance, memory-efficient algorithms
• Lead major refactoring and modernization initiatives
• Develop new Computer Vision algorithms focused on Intelligent Document Processing
• Establish patterns for cross-platform compatibility
• Implement advanced optimization techniques
• Design library architecture for internal product teams
• Ensure robustness and reliability of production systems

Job Requirements:

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of software engineering experience
• Strong background in C++ development and cross-platform library design
• Cross-Platform experience in at least a couple of platforms: Windows, Linux, Mac
• Experience building and maintaining production-grade software systems

Technical Expertise

• Deep knowledge of modern C++
• Expertise in software architecture and design patterns
• Strong understanding of Computer Vision and Machine Learning algorithms and techniques
• Experience with performance optimization and profiling
• Knowledge of low-level system programming considerations
• Background in building maintainable, well-tested software components

Technical Leadership & Communication

• Experience technically guiding a team and mentoring engineers on technical challenges
• Track record of driving architectural and design decisions
• Strong team collaboration and communication skills
• Ability to work effectively across technical teams
• History of solving complex engineering problems

This role offers the opportunity to shape essential Computer Vision technology while growing technical leadership skills. The ideal candidate will combine deep C++, Computer Vision and ML expertise with the ability to implement complex technical solutions and mentor others.

Here are some of our local benefits:

Here’s a summary of the role:  

Here’s a breakdown of what you’ll do (not all of it, just the important stuff):

• Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework) — the technical core of our Compliance in a Box product
• Design and implement a 7-agent architecture: OnboardingAgent, ScopeAgent, StandardsMapper, RiskQuantifier, PolicyAnalyzer, InfrastructureAuditor, and ComplianceMonitor
• Implement Human-in-the-Loop (HITL) gates across agent workflows, and tune prompts and confidence scoring for Bedrock-hosted models
• Own the agent evaluation framework — measuring quality, latency, and reliability to keep CiaB performant and production-ready
• Collaborate with cross-functional teams to deliver CiaB feature-complete by Week 7 — your work ships fast and your impact is visible from day one

These are the essentials you’ll need to get an interview:

• A degree in Computer Science, Software Engineering, or a related IT discipline
• Demonstrable understanding of AI/ML concepts, including LLMs and agent-based systems
• Ability to write clean, well-tested code — Python preferred
• Strong experience of shipping real AI products - not chatbots!
• Strong communication skills and a collaborative mindset

It would be great if you had these to, but we’ll support you if you don’t:

• Exposure to AWS services, especially Amazon Bedrock or similar LLM hosting platforms
• Familiarity with GRC concepts (governance, risk, compliance) or cybersecurity frameworks such as ISO 27001 or SOC 2
• Any experience with agent orchestration libraries (e.g. LangChain, CrewAI, AutoGen)

Position Overview

Lead the Future of GRC (Governance Risk & Compliance) Technology!

We’re looking for a strategic technical leader with a track record of building great teams, delivering scalable systems, and transforming engineering organizations. If you thrive in complex problem spaces, love building world-class platforms, and want to play a key role in our AI-native transformation, we want to talk to you. 

Key Responsibilities

• Build high-performing, AI-enabled teams that deliver real value fast—especially within our Budapest Global Center for Product Innovation
• Lead engineering for one or more of our strategic products, driving design, delivery, and quality across multiple agile teams
• Architect for the future: Define technical strategy, system architecture, and integration of AI/ML-powered components
• Champion engineering best practices—from design and security reviews to continuous delivery and reliability
• Infuse AI into the product: Identify, prioritize, and implement opportunities for machine learning, NLP, and intelligent automation
• Be a cultural builder: Create a space for innovation, ownership, and continuous learning
• Partner across disciplines—Product, Design, Data Science—to deliver high-impact outcomes
• Ensure ethical, secure, and privacy-conscious implementation of AI and data capabilities
• Inspire through leadership: Mobilize the team in moments that matter, from solving critical customer issues to celebrating key wins
• Contribute to company-wide strategy and help shape the future of Diligent's global technology organization 

Requiered Experiences/Skills

• 7+ years of engineering leadership experience, including multiple years building SaaS products
• A strong track record of scaling products and teams, especially in fast-moving, innovative companies
• Passion for mentoring engineering leaders and building inclusive, high-performance cultures
• Deep familiarity with modern cloud-native architecture
• Experience with AI/ML platforms and integrating AI into customer-facing products
• Understanding of AI ethics, data governance, and responsible AI principles
• Proven success in leading agile delivery at scale and fostering DevOps/SRE mindsets
• Sharp business instincts, with the ability to collaborate cross-functionally and drive product strategy
• Excellent communication and influence skills at executive and organizational levels 

#LI-Hybrid

Position Overview:

We are seeking a talented and driven Senior Software Engineer in AI to join our growing team at Diligent. Reporting to Applied Science Manager, this exciting role involves bridging the gap between Applied Scientists and Product teams - developing, deploying, and scaling ML and LLM-based systems as part of Diligent’s AI platform services to accelerate AI adoption across Diligent's diverse product suite. 

Diligent is a global leader in modern governance, delivering innovative SaaS solutions that address governance, risk, and compliance (GRC) needs. Our mission is to empower leaders with cutting-edge technology, actionable insights, and vital connections to drive impactful decisions and lead with purpose. 

Key Responsibilities: 

• Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems that power services across our platform. 

• Build automated AI testing and evaluation frameworks. 

• Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities. 

• Shape and develop the teams AI platform infrastructure utilizing already established patterns at the organization. 

• Design and develop AI libraries and frameworks to help accelerate value delivery across AI platform services. 

• Work on projects involving sensitive customer content used for Diligent customers’ board communications, which requires stringent privacy and security measures.  

• Document and communicate your approach, progress, and results to the broader team and to other development teams. 

Required experience/skills: 

• 5+ years of relevant experience. 

• Strong ability to develop highly readable and well-tested code that adheres to SOLID principles. 

• Proven proficiency in Python and TypeScript. 

• Experience with infrastructure-as-code practices preferably in AWS (or experience with other major cloud providers). 

• Ability to contribute to a high-performing agile team, and to product innovation. 

• Keen to improve processes and share knowledge across the team. 

Nice to have:  

• Hands-on AWS CDK experience 

• Hands-on experience with LLMs including prompt engineering, fine-tuning, model evaluation, RAG, agentic solutions or MCP servers. 

• Experience with full AI-based solution lifecycle.

#LI-Hybrid

We are currently looking for a well-versed (Senior) Data Engineer to work with our EMEA and US customers and help them solve their data engineering, ML and/or ML Ops, and cloud migration puzzles.

As a Data Engineer, you are expected to deliver (across industries) on some of our most complex projects - individually or by leading small delivery teams. Although we work for the biggest multinational companies where years-long behemoth projects are the norm, our projects are fast-paced, typically 2 to 4 months long. The majority are delivered using Apache Spark/Databricks on AWS/Azure and require you to directly manage the customer relationship, alone or along with a Project Manager. Additionally, at this seniority level, we expect you to compound your impact across the team and the organization - by mentoring more junior engineers, evaluating the quality of their work, and contributing to hiring best-in-class data engineers.

What do we offer?

• Educational benefits: There’s no shortage of learning opportunities at DATAPAO, meaning that you'll get access to Databricks' public and internal courses to learn all the tricks of Distributed Data Processing, MLOps, Apache Spark, Databricks, and Cloud Migration from the best. Additionally, we'll pay for various data & cloud certifications. You'll also get dedicated time for learning during work hours and access to our internal library. 

• Flexible PTO and Working Hours: We’re flexible about your working routine and how many days you take off if it does not conflict with customer success, company goals, and the work you do. 

• Flexible Office: It is up to you which days you spend in the office. However, as a strong community is one of DATAPAO's value propositions, we’d expect you to spend one day per week in the office on average. 

• 30 Calendar Days of Paternity Leave (if applicable): We think it’s essential for both parents to be there when it matters the most. 

• Private Medical Insurance: We provide a private medical package via Generali. 

• Employee Assistance Program (EAP): Through EAP, we offer our employees access to psychological, financial, and legal consulting services via phone or in person.

• Top-notch working equipment: Working comfortably means working well. Therefore, you will get a MacBook, a Herman Miller office chair, standing desks in the office, and whatever else is needed to give your best.

• The chance to make an impact in a high-transparency culture: Open feedback and a no-politics environment are things we value a lot at DATAPAO. Additionally, you'll get the chance to shape the future of a rapidly growing tech company, to work with cutting-edge technologies, and to help some of the biggest and most innovative companies in the world sort out their data puzzles.

• A cozy and modern office in the heart of Budapest: Located in a vibrant, central part of the city (Opera/Oktogon), it's designed to foster focus, creativity, and team connection. You'll find open spaces for group work, quiet corners for deep thinking, and plenty of natural light. It’s well-stocked with snacks, drinks, coffee, and beverages. Optional Friday evening beers, movie, and wine-tasting nights with the team are also on us.

The gross salary for this position ranges from gr. 1.200.000 - 1.700.000 HUF/month for a Medior and from gr. 1.700.000 - 2.300.000 HUF/month for a Senior role, depending on your assessed seniority level during the selection process.