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.

Project Description

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.

Technologies

• Python
• Git, CI/CD practices for ML and data pipelines
• AWS and/or Azure
• PyTorch, TensorFlow
• MLflow
• LLMs and NLP tasks
• Generative AI concepts
• LangChain/LangGraph, LlamaIndex
• Qdrant, Pinecone, Weaviate, FAISS or similar
• RNNs, Transformers
• Dataset labeling, annotation tools (e.g., Label Studio, CVAT)
• Prometheus, Grafana, DataDog, OpenTelemetry
• YOLO, SDD
• Segmentation models
• Image Classification

What You'll Do

• Lead the design, development, and deployment of scalable ML services;
• Architect and implement AI/ML solutions, ensuring model quality, governance, and security;
• Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP);
• Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements;
• Mentor and guide junior engineers, promoting best practices in ML engineering;
• Develop and maintain documentation, ML models, and technical standards;
• Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments;
• Stay up-to-date with emerging trends and technologies in AI/ML field;

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field;
• 5+ years of experience in ML engineering, with at least 1 years of hands-on experience with LLMs;
• Strong proficiency in Python;
• Experience with cloud data platforms (AWS and/or Azure);
• Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for ML engineering;
• Experience with data governance, security, and compliance in cloud environments;
• Excellent problem-solving, communication, and leadership skills;
• English: Upper Intermediate level or higher;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

About the role

We are seeking a Machine Learning Engineer with expertise in classical Computer Vision and Deep Learning to contribute to the development of advanced computer vision algorithms focused on item authentication and fingerprinting.

In this role, you will drive the research, development, and deployment of state-of-the-art algorithms and models aimed at accurately determining the authenticity of items and assigning unique digital identities through image analysis. You will also oversee the optimisation of image capture solutions on edge devices and ensure models are interpretable, scalable, and robust.

As a senior team member, you will collaborate cross-functionally to define and deliver impactful projects and contribute to thought leadership in the computer vision domain.

Reports to: ML Manager
Location: Remote: Austria, Bulgaria, Ukraine, Hungary & Romania

What You'll Do:

Leadership & Strategy

• Define the technical roadmap for computer vision projects, aligning with business goals and customer needs.
• Mentor and provide technical guidance to junior engineers, fostering a culture of collaboration, innovation, and excellence.

Advanced Research & Algorithm Development

• Design and develop cutting-edge computer vision models and algorithms for item authentication, fingerprinting, high-quality image capture and related applications.
• Lead innovation by staying ahead of trends in computer vision and machine learning, introducing novel techniques to improve model performance and scalability.

Scalable Systems & Model Deployment

• Oversee the deployment of machine learning models in production, ensuring robustness, efficiency, and seamless integration into systems.
• Optimise algorithms for edge device deployment, focusing on latency, accuracy, and power consumption.

Collaboration & Stakeholder Engagement

• Work closely with internal and external stakeholders to understand product requirements, define project scopes, and deliver actionable solutions.
• Collaborate with engineering teams to integrate CV models into broader system architectures while maintaining system reliability and performance.

Operational Excellence

• Drive best practices in code quality, testing, and documentation. Review and refine code, ensuring modularity, reliability, and adherence to industry standards.
• Analyse production data to identify opportunities for continuous improvement in algorithms and systems.

Who you are:

• Education: Bachelor's or Master’s in Electronics, Physics, Computer Science, or related field.
• Experience: 3-6 years in computer vision and machine learning development.
• Core Expertise:
  • • Proficient in both traditional CV techniques (feature extraction, image processing) and deep learning methodologies.
    • Advanced knowledge of Python and C++, with expertise in frameworks such as PyTorch, HuggingFace, OpenCV, and CUDA.
    • Extensive experience in designing, training, and deploying CV models at scale, including distributed training and inference pipelines.
    • Expertise in API design and deployment for ML model services such as FastAPI, TensorRT, Nvidia Triton, and Ray.
• Mathematical Proficiency: Strong foundation in probability, statistics, optimisation, linear algebra, and geometry.
• EdgeML Experience: Skilled in deploying and optimising models for iOS devices, with a focus on real-time data processing and resource efficiency.
• Collaboration & Communication: Ability to articulate technical concepts and collaborate in cross-functional, global teams.
• Ownership & Drive: A proactive approach, a high degree of ownership, and an eagerness to tackle complex challenges.

What we offer

• Market-competitive and pay equity-focused compensation structure
• Generous time away, including company holidays, paid time off, sick time, parental leave, and more!
• The agency to innovate, directly impacting product features and customer experiences.
• Opportunity to be part of the core team in a growing setup.
• Opportunities to publish research, contribute to patents, and further develop CVML and edgeML expertise.

We have had an incredible run so far and are laying the foundation for a culture that is fast-paced, entrepreneurial, and rooted in passion, kindness, and positivity. We live by these values – we hire by them, promote them, and celebrate them every day. 

If you are a visionary Computer Vision / ML engineer with extensive experience in crafting production-ready solutions, a passion for mentoring, and a desire to solve impactful challenges, we’d love to connect!

ABOUT THE ROLE:

We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.

As a Principal AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.

Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.

WHAT MAKES THIS ROLE UNIQUE:

• A long-term strategic partnership, not short-term consulting.
• Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
• The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
• A high-trust, fast-moving setting where engineers have meaningful ownership and influence.

RESPONSIBILITIES:

Customer Engagement & AI Strategy

• Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
• Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
• Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.

AI Solution Design & Delivery

• Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
• Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
• Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.

Iterative Prototyping & Experimentation

• Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
• Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
• Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.

Cross-Functional Collaboration

• Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
• Provide structured feedback from customer engagements to influence internal product and platform development.

Knowledge Sharing & Mentorship

• Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
• Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.

REQUIREMENTS:

Technical Expertise

• Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
• Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.

Problem Solving & Systems Thinking

• Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
• Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.

Client-Facing & Communication Skills

• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.

Adaptability & Mindset

• Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
• Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
• Willingness to travel or work on-site with clients as required.

Education & Experience

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
• Prior experience working directly with customers on AI-driven applications is highly desirable.
• Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.

WHY THIS ROLE:

This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Forward Deployed AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.

BENEFITS

• You will work with amazing teammates from across Europe.
• Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
• Our Sofia office is right in the center, ensuring that everything you need is close by.
• Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
• Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
• We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
• We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
• Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
• We support your growth with certifications and courses that help you advance your career.
• Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
• We’ll work with you on an individual plan to help you reach your career goals.
• Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
• Participate in various social initiatives, contributing to causes that matter to you.
• Use our online platform, dedicated to your well-being and mental health.
• Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
• Refer a Friend, Get Rewarded.

ABOUT THE ROLE:

We are establishing a dedicated team of AI Engineers to serve as a long-term strategic AI partner to one of the most influential AI organizations in the Middle East, headquartered in the UAE. This team will work closely with a highly ambitious client operating at the forefront of AI adoption across the region, supporting a continuously evolving pipeline of AI-driven initiatives.

As an Senior AI Engineer, you will work directly with customer leadership, technical teams, and internal stakeholders to deeply understand complex use cases and design, build, and deploy impactful AI solutions. This role blends hands-on engineering, AI system design, and customer-facing strategy—similar in scope to a hands-on AI startup CTO.

Rather than supporting a single static product, you will work across multiple domains and initiatives as new opportunities emerge. The Middle East’s strong national investment in AI creates a unique environment where experimentation, ambition, and real-world impact are expected, not optional.

WHAT MAKES THIS ROLE UNIQUE:

• A long-term strategic partnership, not short-term consulting.
• Exposure to large-scale, high-impact AI initiatives across sectors such as government, healthcare, energy, smart cities, and advanced research.
• The opportunity to design and deploy AI systems in an environment prioritizing speed, innovation, and real-world outcomes.
• A high-trust, fast-moving setting where engineers have meaningful ownership and influence.

RESPONSIBILITIES:

Customer Engagement & AI Strategy

• Partner closely with client stakeholders to understand strategic objectives, technical requirements, and operational constraints.
• Act as a trusted advisor on AI strategy, helping customers identify, prioritize, and implement high-impact generative and agentic AI use cases.
• Lead workshops, technical deep dives, and brainstorming sessions to translate business needs into AI-driven solutions.

AI Solution Design & Delivery

• Design, prototype, and deploy AI-powered proofs of concept (PoCs) and production solutions using generative AI models, agentic systems, and LLM workflows.
• Build end-to-end AI pipelines, from data ingestion to deployment, ensuring scalability, security, and performance on modern infrastructure.
• Implement solutions using the latest AI models and techniques, driving tangible business outcomes for the client.

Iterative Prototyping & Experimentation

• Use an experiment-driven approach to rapidly test hypotheses, iterate on designs, and refine solutions in collaboration with client teams.
• Explore and apply cutting-edge techniques in areas such as NLP, computer vision, reinforcement learning, and multi-agent systems.
• Develop reusable frameworks, patterns, and tools to accelerate AI delivery across future initiatives.

Cross-Functional Collaboration

• Work closely with Sales, Solutions Engineering, Solutions Architects, Applied Research, Product, and Customer Success teams supporting the same account.
• Provide structured feedback from customer engagements to influence internal product and platform development.

Knowledge Sharing & Mentorship

• Document best practices, architectures, and lessons learned from deployments to strengthen internal delivery capabilities.
• Mentor junior engineers on applying generative and agentic AI technologies in real-world, enterprise environments.

REQUIREMENTS:

Technical Expertise

• Strong proficiency in Python and/or JavaScript, with experience using ML frameworks such as PyTorch or TensorFlow.
• Hands-on experience with generative AI models (e.g., GPT-4/5), LLM-based systems, agentic workflows, or reinforcement learning frameworks.
• Experience deploying AI/ML systems into production using cloud platforms (AWS, Azure) or on-premise infrastructure.

Problem Solving & Systems Thinking

• Proven ability to translate ambiguous business challenges into concrete, scalable AI solutions.
• Strong analytical skills to evaluate model performance and optimize systems for real-world constraints.

Client-Facing & Communication Skills

• Excellent communication skills, with the ability to explain complex AI concepts to both technical and non-technical stakeholders.
• Comfort operating in ambiguous, high-stakes environments while building trust-based client relationships.

Adaptability & Mindset

• Ability to work across multiple industries and domains, tailoring AI solutions to different contexts.
• Entrepreneurial mindset with a focus on ownership, execution, and measurable impact.
• Willingness to travel or work on-site with clients as required.

Education & Experience

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 3+ years of experience in software engineering, applied machine learning, or AI-focused roles.
• Prior experience working directly with customers on AI-driven applications is highly desirable.
• Passion for staying at the forefront of generative and agentic AI advancements and applying them pragmatically.

WHY THIS ROLE:

This role is ideal for engineers who thrive at the intersection of deep technical work, customer engagement, and real-world impact. As a Senior AI Engineer, you will help shape how AI is adopted at scale in one of the most ambitious and fast-growing AI regions globally—while growing alongside a client whose challenges and opportunities will continuously evolve.

BENEFITS

• You will work with amazing teammates from across Europe.
• Take a leading role in our newly-established Bulgarian center, contributing to the foundation of our future.
• Our Sofia office is right in the center, ensuring that everything you need is close by.
• Monthly transport allowance and enjoy the convenience of a dedicated parking area at the office.
• Enjoy 25 days of paid leave, we make sure you have plenty of time to relax and recharge.
• We’ve got you covered with additional premium health insurance and dental care, to keep you and your family protected.
• We offer food vouchers and to add a little extra you can enjoy complimentary meals in the office.
• Fully covered Multisport card that gives you access to a variety of fitness options to keep you active and feeling great.
• We support your growth with certifications and courses that help you advance your career.
• Join us for Social Events, Informal Office Gatherings and Team-building activities with your colleagues, where we celebrate our achievements together.
• We’ll work with you on an individual plan to help you reach your career goals.
• Benefit from our coaching and mentorship programs, technological and professional guilds that offer guidance and support for your career journey.
• Participate in various social initiatives, contributing to causes that matter to you.
• Use our online platform, dedicated to your well-being and mental health.
• Enjoy the flexibility of our Work Abroad Policy, letting you work from another European country for a period of time.
• Refer a Friend, Get Rewarded.

Company Background

Our client is a global leader in access solutions and smart home technologies. With over a decade of innovation in the IoT space, the company is a pioneer in connected home solutions, including garage door openers, gate systems, and smart access management tools. One of their flagship innovations is the platform, which allows users to control and monitor their home access systems through connected devices. The current focus is a mobile app designed to support and manage gated communities.

Project Description

AI platform is a modern, cloud-native, and device-integrated system supporting advanced computer vision, generative AI, and smart automation for access control and security. The platform is continuously evolving, with a strong focus on validation, automation, and scalability to support millions of IoT devices and next-generation smart home features.

Technologies

• Python
• FastAPI
• AWS
• Docker
• Kubernetes
• CI/CD
• LLM / Generative AI
• vLLM
• Kafka / RabbitMQ

What You'll Do

• Design and implement a rules engine platform as part of the AI microservices ecosystem;
• Collaborate with AI/ML engineers to integrate business logic and rule-based decisioning into the platform;
• Develop robust, maintainable, and scalable Python microservices;
• Ensure high code quality, test coverage, and adherence to best practices (PEP 8, code reviews, CI/CD);
• Work with containerization (Docker) and orchestration (Kubernetes) for deployment.

Job Requirements

• 4+ years of experience with Python;
• Experience building rules engines or similar business logic platforms;
• Experience with FastAPI or similar frameworks;
• Experience with Docker, Kubernetes, and CI/CD pipelines;
• Experience working with AWS (EKS, SQS, S3, EC2, MSK);
• Strong software engineering fundamentals and clean code practices;
• Basic experience with LLMs and tools like vLLM;
• Strong communication skills;
• English proficiency at B2 level or higher;

Nice to Have:

• Background in AI/ML platforms or agent frameworks;
• Familiarity with messaging systems (RabbitMQ, Kafka);
• Understanding of concurrent programming;
• Exposure to Amazon Bedrock;
• Familiarity with observability tools (OpenTelemetry, DataDog);

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.

About us:

We believe the next generation of financial services will be powered by stablecoins.

Founded in 2021, our mission at BVNK is to accelerate global money movement.

We’re building stablecoin-native infrastructure so businesses can move value instantly across borders and networks. With global licenses and T1 bank partnerships, we facilitate billions in transactions for enterprise clients like Worldpay, Deel, LianLian Global, and Rapyd.

Our technology is transforming how businesses operate globally by eliminating payment delays, reducing costs, and unlocking trapped capital. 

We’re a diverse team spread across EMEA, North America, and APAC, with a shared belief that stablecoins are the new infrastructure layer for financial services, and that BVNK is at the forefront of this shift.

In 2025, we secured strategic investment from Visa, following our $50 million Series B with Haun Ventures, Coinbase Ventures, Scribble Ventures, DRW Venture Capital, Avenir, and Tiger Global. With the backing of these leading investors, we’re accelerating our growth – and we're looking for smart, ambitious people to help us build the future of financial services.

We're incredibly honored to have made Newsweek's list of The Top 100 Global Most Loved Workplaces three years running (most recently in 2025) and to have been recognised by LinkedIn as one of the Top 20 Startups in the UK in 2024.

Location: We offer a Hybrid with flexibility working policy. 

About this role in the team:

As an Engineering Manager, you will lead, mentor, and drive two high-performing engineering teams — FinCrime and IXP, to deliver scalable and reliable payment solutions. You will collaborate with cross-functional teams, partner with product managers, ensure the timely delivery of product increments, and uphold best practices in software development. This role requires a balance of strong technical expertise, hands on approach and exceptional leadership skills to help shape our engineering culture and deliver innovative products with an AI-native mindset, viewing AI as a force-multiplier for engineering velocity.

Key Areas of Responsibilities:

Leadership & Team Management

• Lead and mentor a team or two of software engineers(FinCrime and IXP), fostering a collaborative and inclusive work environment.
• Provide technical guidance, career development support, feedback and performance evaluations.
• Identify and recruit top engineering talent who are eager to embrace AI-assisted development to grow the team.
• Establish efficient, AI-augmented ways of working within your teams (e.g., leveraging tools like Claude Code to streamline the SDLC).

 Technical Excellence

• Drive architectural decisions for scalable and secure payment platforms.
• Ensure code quality, system reliability, and adherence to best practices in development and testing, while advocating for AI-driven automation and review processes
• Review and contribute to technical designs and codebases when necessary.

 Project Management

• Collaborate with Product Managers, Designers, and other stakeholders to define scope, timelines, and deliverables.
• Oversee the planning and execution of sprints, ensuring timely delivery of high-quality products using data-driven and AI-assisted insights to improve predictability.
• Identify and mitigate risks throughout the software development lifecycle.

Stakeholder Collaboration

• Work closely with leadership to align engineering efforts with business goals and priorities
• Serve as a technical point of contact for cross-functional teams, partners, and clients

 Innovation & Continuous Improvement

• Advocate for and implement modern, AI-first tools, frameworks, and methodologies to improve team productivity.
• Drive a culture of learning, experimentation, and continuous improvement where the team is encouraged to automate the mundane using AI and focus on high-value engineering.

Experience & Expertise:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field
• 7+ years of software development experience, including 3+ years in a leadership or management role
• Proven track record of managing at least 2 engineering teams simultaneously in a fast-paced environment, ideally in fintech or payments
• AI-Fluent Leadership: Demonstrated experience or a clear vision for integrating AI tools (e.g., Claude, etc.) into the engineering lifecycle.
• Strong technical expertise in modern programming languages (e.g., Java, Kotlin, Python, Go) and frameworks.
• Experience with cloud infrastructure (e.g., AWS, Azure, GCP) and microservices architecture.
• Solid understanding of payments systems, financial protocols (e.g., PCI-DSS, ISO 8583), and security best practices.
• Familiarity with Agile/Scrum methodologies and DevOps principles. 

Skills:

• Excellent communication skills
• Ability to work in a fast-paced and often ambiguous environment
• Strong analytical and data-driven mindset for pragmatic decision-making

What We’re Looking For:

• Passion for building products disrupting the payments industry.
• An AI-native mentality: You see AI not just as a tool, but as a fundamental shift in how great software is built.
• Excitement for solving complex problems in a constantly evolving industry.
• A drive for collaboration across teams to deliver impactful solutions.

What you can expect from us:

• Fair and competitive salary at every stage of your growth
• Flexible working hours, with hybrid working at its heart
• A culture built on passionate, growth-minded people
• A flexible approach to holiday
• Opportunities to travel to our offices around the world
• An open and creative environment where you can help us define the future of BVNK, its culture, and its opportunity sets

At BVNK, we are focused on building a diverse and inclusive team. While you may not meet all of our requirements, we’d encourage you to apply if you meet the majority of our expectations. You may be a great fit for this role or another role in our team

As the Senior Technical Product Manager for Platform, you will own the product strategy for the shared services layer that powers Constructor's learning and research applications. You will drive the evolution of Platform capabilities - including identity, data infrastructure, AI/ML services, and developer tools - into a modular foundation. Your work enables internal teams and external partners to build and ship faster while maintaining enterprise-grade security, compliance, and global readiness.

Duties and Responsibilities:

• Define and drive the product vision for a multi-instance, scalable foundation that supports SaaS and on-premise deployments
• Collaborate with application product teams to consolidate fragmented components and requirements into unified platform services
• Stay up-to-date with industry developments and technologies to inform Platform strategy
• Communicate Platform insights and recommendations to stakeholders and the leadership team
• Act as a point of contact for cross-functional teams and stakeholders
• Analyse performance data to identify areas for improvement and optimisation
• Collaborate with the development team to identify and prioritise new features and capabilities
• Drive a roadmap with dependencies across the wider organisation, balancing technical constraints with business needs

Qualifications and experience:

• 5+ years of experience working as a program or product manager for a platform, SaaS infrastructure, or API products
• Computer Science or similar degree
• A strong technical background. You are comfortable discussing API design, architecture, and authentication flows.
• Excellent analytical and problem-solving skills
• Strong communication and collaboration skills
• Experience leading teams and working with cross-functional stakeholders

Nice to Have:

• Experience with developer platforms or platform-as-a-service products
• Experience managing AI/ML infrastructure or platforms

Who We Are:

At Airia, we're a team of innovators, technologists, and problem-solvers united by a shared vision: making enterprise AI accessible, secure and impactful. Our diverse team brings together deep expertise in artificial intelligence, enterprise software, and industry-specific knowledge to tackle the most pressing challenges facing modern businesses. We believe in responsible innovation, putting our customers' needs first, and building solutions that create lasting value.

Who You Are:

You are a passionate, driven individual with a strong interest in software development and a focus on both front-end and back-end technologies. You are self-motivated, detail-oriented, and thrive in a fast-paced and dynamic environment. You excel in problem-solving, are eager to tackle complex challenges, and are adept at communicating and collaborating with cross-functional teams.

What You Will Do:

As a Full Stack Engineer at Airia, you'll play a key role in designing and building our enterprise-grade web platform. You will work across the full development stack to deliver scalable, secure, and high-performing software that supports complex business workflows. The ideal candidate has deep experience with modern web technologies, backend services, and distributed systems.

Core Responsibilities: 

• Collaborate on the design and development of responsive and user-friendly web applications. 
• Build engaging user interfaces using React and modern front-end technologies. 
• Develop and maintain server-side logic using C# and .NET Core. 
• Integrate third-party APIs and services to enhance application functionality. 
• Ensure the security and privacy of data through effective implementation of best practices.
• Conduct testing, debugging, and troubleshooting to identify and address software issues. 
• Collaborate with cross-functional teams to implement continuous improvements and updates. 

What We Need from You: 

• BS/MS in Software Engineering, Computer Science, or a related Engineering field.
• 5+ years of industry experience as a Full Stack Engineer supporting enterprise business-to-business web applications. 
• In-depth knowledge of Azure services.
• Strong understanding of back-end development using C#.
• Strong proficiency in front-end technologies (HTML5, CSS, JavaScript). 
• Experience designing and implementing scalable and resilient architectures. 
• Familiarity with multi-tenancy considerations and solutions. 
• Proficiency in scripting and automation using tools such as PowerShell or Azure CLI. 
• Familiarity with Linux and cloud environments, especially Microsoft Azure. 
• Exceptional creativity, along with strong collaboration and communication skills. 
• Ability to work in a hybrid in-office setup (3 days/week in-office presence required).

Airia is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.