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We are launching a strategic pool of AI specialists to accelerate the growth of our AI Practice and turn strong market demand into scalable, repeatable capabilities. This role goes beyond project delivery-it is about shaping how AI is built, shared, and scaled across the company.
As part of this group, you will play a key role in internal capability development, with a strong focus on designing and evolving AI Accelerators-reusable frameworks, templates, and reference architectures covering GenAI, LLM-based solutions, ML pipelines, and cloud-native AI systems. These accelerators will become the backbone of our AI offerings, enabling faster delivery, higher quality, and consistent technical standards across projects.
A second core dimension of the role is knowledge leadership. Strategic hires will actively contribute to internal knowledge-sharing initiatives: technical deep dives, hands-on workshops, demos, and best-practice sessions covering topics such as GenAI orchestration, RAG, model deployment, prompt and system design, observability, and cost-efficient AI architectures. You will help raise the overall AI maturity of the organization while mentoring engineers and influencing technical direction. In addition, members of this group will act as AI project jumpstarters, joining new client engagements for up to 50% allocation over 1-2 months. In this capacity, you will help define solution architectures, validate technical approaches, build initial prototypes, and set strong engineering foundations before teams scale. This gives you exposure to diverse domains and cutting-edge AI use cases while maximizing your impact across multiple initiatives.
We are looking for a highly skilled and innovative Machine Learning Engineer to develop and expand our Generative AI and Computer Vision capabilities. This role involves accelerating Technical Sales Support, Architecture and PoC development.
The global benefits package includes:
Ready to apply?
Apply to Coherent Solutions
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Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.
The ideal candidate will be naturally collaborative, articulate, extremely organized, have a solid technical understanding of Veeam products, and motivated by maximizing customer success and outcomes. Soft skills combined with technical skills are key in this role. As a Customer Success Engineer, you are the primary technical owner driving long-term customer outcomes across the Veeam Data Platform. You’ll lead onboarding, adoption, and optimization; proactively identify churn risk, migrations, and upsell opportunities; and apply deep disaster recovery and resilience (DR&R) expertise to conduct recovery simulations, DRMM assessments, and quarterly resilience reporting for measurable customer value
Please note: If an applicant is permanently located outside of Romania, Veeam reserves the right to decline the application for this position.
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Apply to Veeam Software
THE OPPORTUNITY
As Cloud Operations Engineer II, you will be working alongside global, multidisciplinary team of cloud engineers; as well as Customer Support, Development, Architecture, and Quality Assurance teams to support and implement new features and enhancements to the Incentive Compensation Management products. You will be contributing to the technical work on the services supporting Incentive Compensation Management products. The team will also be entrusting you with incident management duties to ensure the quality of the service.
THE TEAM
Join a high-performing team in a growth stage tech company that is working to continuously reflect and improve on how we make software. The Cloud Operations team values high levels of technical competency and the ability to react quickly and come up with solutions to the challenges of a rapidly growing team.
WHAT YOU BRING
Technical Skills
Collaboration and Communication:
WHAT YOU’LL DO
IN THE SHORT TERM (1-3 MONTHS) YOU WILL:
IN THE MEDIUM TERM (4-6 MONTHS) YOU WILL:
IN THE LONG TERM (7 MONTHS & BEYOND) YOU WILL:
Note
Benefits
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Varicent is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. If you require accommodation at any time during the recruitment process, please email accomodations@varicent.com
Varicent is also committed to compliance with all fair employment practices regarding citizenship and immigration status. By applying for a position at Varicent and/or by using this portal, you declare and confirm that you have read and agree to our Job Applicant Privacy Notice and that the information provided by you as part of your application is true and complete and includes no misrepresentation or material omission of fact.
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MariaDB is making a big impact on the world. Whether you’re checking your bank account, buying a coffee, shopping online, making a phone call, listening to music, taking out a loan or ordering takeout – MariaDB is the backbone of applications used everyday. Companies small and large, including 75% of the Fortune 500, run MariaDB, touching the lives of billions of people. With massive reach through Linux distributions, enterprise deployments and public clouds, MariaDB is uniquely positioned as the leading database for modern application development.
About the Role
We're looking for a Senior Data Analytics Engineer who lives and breathes data-someone who combines strong engineering skills with analytical depth. You'll join a small, high-impact team where you don't just analyze data, you build the systems and pipelines that make analytics possible. This isn't a dashboards-and-decks role-you'll engineer solutions across the full analytics stack, from designing reliable data pipelines in BigQuery and MariaDB to building internal tools and APIs that put insights into the hands of the business.
Day to day, you'll write sophisticated SQL in BigQuery and MariaDB, architect and build automation and tooling in Python and FastAPI, and use AI-powered development tools like Windsurf, Gemini, and Claude as a core part of how you work. You need to understand data architecture deeply-how information flows from source systems through pipelines into the warehouse, how schemas are designed, and how to build infrastructure that scales and stays maintainable.
Communication is a big part of this role. You'll work closely with stakeholders across the business, translating complex data into clear, actionable insights. But equally important is your ability to engineer robust, repeatable solutions-not one-off analyses. We need someone who can own their domain end-to-end: define the right questions, build the data infrastructure, deliver the analysis, and present it in a way that drives decisions. If you're self-sufficient, ambitious, always looking to improve, and you have a GitHub profile that shows what you're capable of-we want to talk to you.
Key Responsibilities
Requirements & Qualifications
Nice to Have
Location – Romania (remote)
Travel - As required for the job (minimal).
What's in it for you?
Impact the world of technology by pushing the boundaries of technology and business models, working at MariaDB, plc. Be part of a game-changing organization that encourages outside-the-box thinking, values empowerment, and is truly shaping the future of the software industry.
You’ll be collaborating with high-caliber colleagues around the world, offering unparalleled learning and growth opportunities. We provide a very competitive compensation package, 25 days paid annual leave (plus holidays) and a massive degree of flexibility and freedom, and more.
Salaries for candidates outside the U.S. will vary based on local compensation structures.
How to Apply
If you are interested in this position, please submit your application along with your CV/Resume through our ATS Greenhouse on our MariaDB Careers site.
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Apply to MariaDB plc
We fuse together exceptional talent who deliver outstanding software solutions. Our approach has helped us grow 60% in 2021, 94% in 2022, while in 2023 we joined forces with Insight, a Fortune 500 company and a leading solutions and systems integrator. With exciting growth plans and cutting-edge projects, there has never been a better time to join our incredible team.
We are establishing a AI Engineering team who will work closely with our most strategic customers to deeply understand their use cases and design, build, and implement products for them. As one of our founding AIs, you will deploy these solutions on the latest infrastructure for the world's most influential businesses, driving real business impact through the newest models and our own innovations in technical delivery.
AI Engineers’ responsibilities look similar to those of a hands-on AI startup CTO: you’ll work in small teams to own delivery of high stakes projects with clients. A day’s work may include building LLM workflows on a large scale, interacting with customers to understand their needs and set their AI strategy, but the most impact will be driven by implementing solutions into the real world of our partner's organizations.
We are looking for customer-focused software engineers to build effective custom software that leverages leading AI models and technology to solve real customer problems. You will partner directly with customers to conceptualize, design, and implement cutting-edge AI solutions. This role focuses on leveraging generative AI models, agentic systems, and iterative prototyping to build impactful proofs of concept (PoCs) that address unique business challenges. The AI engineer acts as a bridge between advanced AI technologies and practical enterprise applications, ensuring that solutions are both innovative and actionable.
You will collaborate closely with Sales, Solutions Engineering, Solutions Architects, and Customer Success Managers who work on the same account. You will also be self driven to learn about the AI market and bring forward that knowledge to improve the way in which we deliver to customers.
Responsibilities
Customer Engagement:
Collaborate deeply with clients to understand their strategic objectives, technical requirements, and operational constraints.
Serve as a trusted advisor for AI strategy, guiding clients through the process of ideating and implementing generative and agentic AI solutions.
Facilitate workshops and brainstorming sessions to identify high-value use cases for AI technologies.
AI Solution Development:
Design, prototype, and deploy AI-powered PoCs using generative models (e.g., GPT, DALL-E) and agentic systems tailored to specific client needs.
Build end-to-end pipelines for deploying AI solutions on client infrastructure, ensuring scalability, security, and performance.
Experiment with cutting-edge methods in natural language processing (NLP), computer vision, reinforcement learning, and multi-agent systems to deliver innovative solutions.
Iterative Prototyping:
Use an experiment-driven approach to rapidly test hypotheses and refine prototypes in collaboration with client teams.
Develop reusable frameworks and tools to accelerate the deployment of generative AI solutions across diverse industries.
Cross-Functional Collaboration:
Work closely with Sales, Applied Research, Product Development, and Customer Success teams to ensure seamless project execution.
Provide actionable feedback from customer engagements to inform the development of new AI capabilities.
Knowledge Sharing:
Document best practices and lessons learned from client projects to contribute to internal knowledge bases.
Mentor junior engineers on the application of generative and agentic AI technologies in real-world scenarios.
Requirements
Technical Expertise:
Strong proficiency in programming languages such as Python or JavaScript, with experience in frameworks like TensorFlow or PyTorch.
Hands-on experience with generative AI models (e.g., GPT-4/5), agentic systems, or reinforcement learning frameworks.
Familiarity with deploying machine learning models in production environments using cloud platforms (e.g., AWS, Azure) or on-premise systems.
Problem-Solving Ability:
Proven ability to translate abstract business challenges into concrete technical solutions using generative AI.
Strong analytical skills to evaluate model performance and optimize for specific use cases.
Client-Facing Skills:
Exceptional communication skills for explaining complex AI concepts to diverse stakeholders.
Ability to build trust-based relationships with clients and navigate ambiguous problem domains collaboratively.
Adaptability:
Flexibility to work across industries such as healthcare, finance, defense, or retail while tailoring solutions to each domain.
Willingness to travel or work on-site with clients as required.
Requirements (Education, Certification, Training, and Experience)
Bachelor’s degree in computer science or related field or equivalent experience
At least 3 years of experience in software engineering or applied machine learning roles.
Direct experience working with customers on the development of AI-driven applications is highly desirable
Passion for exploring the frontiers of generative and agentic AI technologies.
Entrepreneurial mindset with a focus on delivering measurable business impact through innovative solutions.
Commitment to continuous learning and staying at the forefront of AI advancements.
This role is ideal for those who thrive at the intersection of technology innovation and customer engagement. You will have the opportunity to shape the future of enterprise AI adoption while solving some of the most complex challenges faced by leading organizations.
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Ready to apply?
Apply to Amdaris
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