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Principal AI Architect About Aveni Aveni is an AI FinTech company building the next generation of AI products and platforms for the UK financial services industry. Our mission is to make AI work in one of the world's most regulated, high-stakes environments; helping financial advisers, compliance teams, and wealth managers do their jobs better, faster, and with greater confidence. We're a high growth company at an exciting inflection point: our core products are live and scaling, and we're building out an ambitious 2026 roadmap of agentic AI capabilities that puts us at the frontier of what AI can do in financial services. The role This is one of the most exciting and wide ranging senior technical roles at Aveni. As Principal AI Architect, you'll sit at the intersection of deep AI expertise and enterprise grade systems architecture. You'll be shaping how Aveni's AI platform is designed, governed, and delivered at scale. You'll work as part of the senior AI leadership team reporting to the CTO, and play a central role in one of the most consequential challenges in enterprise AI: making agentic systems that are powerful, safe, and trusted in regulated environments. Equally, you'll be a key figure externally, designing deployment architectures for large UK financial institutions adopting Aveni's products, and helping them understand and trust what our AI can do. If you're deeply technical, genuinely excited about where AI and agents are heading, and want to shape how a fast-scaling FinTech builds its AI backbone, this role is built for you. What you'll be doing • Owning the architectural design of Aveni's AI and agentic platform. Planning how we route and orchestrate AI, how agents execute, how guardrails are enforced, and how we integrate multiple AI providers alongside our own proprietary model., • Defining architectural patterns for our next generation of agentic products. AI-driven guidance agents and an AI assurance framework for regulated financial workflows, ensuring they are safe, explainable, and compliant., • Partnering with senior engineers across our product teams to translate platform capabilities into well designed product architectures, ensuring consistency and reuse across everything we build., • Acting as Aveni's senior AI solution architect for enterprise clients, producing deployment architectures, running technical workshops, and supporting pre-sales processes that help large financial institutions adopt our products with confidence., • Collaborating with our research and innovation team to translate technology evaluations and prototypes into production ready architectural decisions, and working with our platform and infrastructure teams to ensure AI observability and operations are built on solid architectural foundations., • Setting AI architectural standards and governance across the organisation, shaping our technical strategy alongside the CTO, and ensuring our architecture meets the security, compliance, and regulatory requirements of the UK financial services sector., • Staying genuinely ahead of the curve by tracking where AI and agentic systems are heading, bringing a futurist mindset to how Aveni's architecture needs to evolve, and making sure we're building towards what matters next. What we're looking for • Extensive experience in software or AI/ML engineering, with a substantial portion spent in architecture roles, ideally spanning both platform and solution architecture., • Deep, hands-on knowledge of LLM and agentic system design. You understand how to build systems that use AI reliably, safely, and at scale, not just how to call an API., • Experience working with enterprise clients as a solution or technical architect. You're comfortable running architecture workshops, producing deployment designs, and earning the trust of technical stakeholders at large organisations., • Strong practical knowledge of cloud-native, event-driven architectures on AWS, and comfort with Python and/or Node.js in AI engineering contexts., • Familiarity with AI governance standards and the regulatory landscape. You understand what responsible AI design looks like in practice, especially in regulated industries., • A futurist mindset. You follow AI and agentic research closely, have strong opinions about where things are heading, and translate that into concrete architectural thinking rather than vague enthusiasm., • Outstanding communication skills. You're equally comfortable producing rigorous technical documentation for an internal architecture review and explaining deployment architecture to a CTO at a financial institution. Why Aveni • You'll be architecting AI systems at the frontier — agentic platforms, proprietary models, multi provider AI — in one of the most demanding and consequential domains in the world., • You'll work with a genuinely strong team: senior AI, research, and engineering leaders who care deeply about getting AI architecture right, and engineers who are ready to be challenged and elevated., • Aveni is at a defining moment. Our core products are live and growing, and the 2026 roadmap is ambitious. This is a chance to shape an organisation's technical direction before it's set in stone., • We're a mission driven company: the work matters. Better AI in financial services means better outcomes for advisers, compliance teams, and ultimately the people they serve.

DevOps Engineer Location: Remote Role Overview Reporting to the Web Architect, the DevOps Engineer will play a key role in designing and implementing the technical backbone of the digital platforms. This role is crucial to supporting the “digital first” strategy with solutions that are flexible, scalable, and reliable. The DevOps Engineer will work closely with internal IT teams at all levels, requiring clear communication with colleagues of varying technical expertise. You will help guide the business through technical changes, documenting processes, and ensuring seamless integration of new solutions. This role demands a balance of technical expertise, stakeholder management, and a people-focused mindset to deliver high-quality solutions and support the company’s strategic objectives. Key Responsibilities • Define web platform architecture aligned with the business goals., • Work with Security and Infrastructure teams to ensure platforms are secure, compatible, and optimised., • Conduct design reviews to simplify and modernise web platform infrastructure., • Support the delivery of innovative digital solutions., • Maintain awareness of DevOps best practices and industry trends., • Perform other duties as required, aligned with the scope of the role., • Demonstrate professionalism in interactions with business teams and third parties., • Respond promptly and appropriately to requests from management or the business., • Shape and nurture a positive technical culture within the team., • Collaborate with cross-functional teams to deliver user-focused experiences., • Communicate effectively with both technical and non-technical stakeholders., • Engage stakeholders to guide digital solution decisions and explain IT/web concepts clearly., • Foster collaboration and strong business partnerships within the team and across the organisation., • Support team members and contribute to overall team success., • Identify training needs and support upskilling within the team., • Act responsibly and professionally at all times. Essential Knowledge, Skills & Experience • Strong understanding of infrastructure architectures and cloud platforms (Microsoft Azure)., • Experience with Infrastructure as Code tools such as Bicep or Terraform., • Knowledge of Agile development principles., • Awareness of architectural impacts on performance and security., • Strong technical documentation, problem-solving, and critical thinking skills., • Excellent interpersonal and time management skills., • Ownership mentality and pride in delivering high-quality solutions. Experience • 3–5+ years as a DevOps Engineer with a solid understanding of DevOps principles., • Hands-on experience deploying to Azure using Terraform or Bicep., • Implementing network and security best practices., • Working with patterns such as Headless, Microservices, and Event-Driven Architecture., • Degree in Computer Science, IT, or a related field.

Location: Remote UK (working from home) Salary: £60,000 - £65,000 per annum, DOE + benefits Please note that only applicants who submit a cover letter with their application will be considered for this role About Artifax Artifax Software builds industry-leading venue and event management tools for the arts and culture sector. Our platform is used by performing arts centres, museums, festivals, universities, and cultural organisations around the world. We’re a remote-first, values-led team backed by the stability of Volaris Group, with a culture that’s collaborative, supportive, and always evolving through feedback. About the role We’re looking for a Senior Software Engineer who can take ownership of complex, production systems while applying AI in a disciplined, engineering-led way. You will work across two equally important areas: • Designing and delivering AI-enabled features and workflows that create real product and commercial value, • Incrementally modernising a complex PHP-based enterprise platform to keep it robust, scalable, and future-ready This is a senior, hands-on role with real technical ownership. Success requires strong engineering judgement, the ability to operate in complex systems, and the confidence to own architectural decisions end-to-end. Working closely with the Product Owner and Head of Engineering, you will make pragmatic architectural decisions that balance innovation, delivery speed, security, and long-term maintainability. AI is central to how we build. We seek engineers who create robust software features by embracing AI-first engineering practices and who are capable of integrating AI responsibly and effectively within customer-facing features and internal workflows. What you’ll do • Design and deliver clean, secure, maintainable, and performant end-to-end solutions using AI-accelerated coding across frontend, backend, and infrastructure, • Support the uplift of architectural components, backend systems, and enterprise-grade functionality, • Use AI tools for code generation, code review assistance, test automation, design translation, and rapid prototyping, • Contribute to evolving AI-enabled development processes and patterns across the business, • Lead development of new product add-ons with clear commercial value, • Assist in improving system performance, reliability, and scalability, • Design AI/LLM-powered workflows with strong guardrails for security and reliability, • Build REST APIs and modular services, including scalable inference-backed services where appropriate, • Package and deploy applications using Docker/Kubernetes, • Support AWS-based deployments with a focus on reliability and scalability, • Collaborate on CI/CD pipelines and automation, • Work closely with product, leadership, and customer-facing teams, • Contribute to shared patterns, documentation, and continuous improvement What you’ll bring • 7+ years building and maintaining production software on cloud-native platforms, • Strong backend engineering experience with server-side frameworks like Laravel/CodeIgniter (PHP 8.2+), alongside experience in related technologies such as TypeScript, React, Node.js, JavaScript, • Deep understanding of relational databases, • Experience working with complex business logic and legacy systems, • Hands-on experience using AI tools (GitHub Copilot, Cursor, Claude) for Software Development and agentic development workflows., • Experience integrating AI or LLM-based capabilities into applications or workflows, • Solid grounding in software architecture, system design, containerisation and cloud platforms (AWS), • Confidence working with legacy systems while driving pragmatic improvement, • Clear communication skills and a strong sense of technical ownership Nice to have • Experience with microservices, security best practices, or SaaS products, • Familiarity with LLMs, RAG pipelines, or vector search, • Background in creative technology or the arts & culture sector, • Familiarity with agile development methodologies, Git-based workflows and iterative release cycles Why join Artifax? • Shape products used by cultural organisations worldwide, • Work on meaningful, technically challenging problems with real ownership, • Be part of a collaborative, remote-first engineering culture, • Explore responsible, real-world applications of AI, • Enjoy stability, autonomy, and opportunities to influence long-term technical direction Application Requirement Please include a short cover letter (max 300–400 words) including details of: • A production system you’ve owned end-to-end, • Your experience working on the modernisation of legacy systems or complex business logic., • An example of how you’ve used AI tools in the Software Development lifecycle or AI/LLM in a real product/workflows, • Why you feel this role is a good fit for your experience Applications without an accompanying cover letter will not be considered. Important • This is a UK-based role, • Applicants must be resident in the UK and have the right to work in this country, • Artifax is not able to offer visa sponsorship If you’re excited by thoughtful engineering, practical AI, and building products that support arts and culture, we’d love to hear from you.

Software Engineer — Data Systems Who we are We’re Metomic; a data security platform helping enterprises understand and protect sensitive data across their SaaS environments. We process large volumes of real customer data daily and our systems must remain fast, accurate, and reliable under load. Why this role exists Our product depends on data systems that behave predictably at scale. We’re investing in strengthening our data platform - ingestion, storage, querying, streaming, and performance. We need an engineer who understands how architecture decisions affect performance, correctness, and operability. This role will help us evolve and scale systems involving ClickHouse, Postgres, and streaming pipelines, while working across the broader product when needed. What you’ll work on • Designing and improving high-volume data pipelines, • Optimising performance across ClickHouse and Postgres, • Working with streaming/event systems (Kafka-style architectures), • Improving reliability and observability of data workflows, • Debugging real production data and performance issues, • Supporting data platform evolution and migration initiatives, • Contributing to backend systems (primarily TypeScript/Node, with some Go or Python) You’ll work across the product, but your depth in data systems will be your superpower. What we’re looking for • Strong software engineering fundamentals, • Experience operating data systems at scale Relational databases (Postgres, MySQL) • Streaming systems (Kafka, Kinesis, etc.), • Strong performance debugging skills, • Experience in one or more of: TypeScript/Node, Go, Python, • Ability to reason about behaviour under load Bonus: • Experience migrating data between storage engines or evolving schemas at scale, • Experience optimising complex analytical queries, • Experience with distributed systems What success looks like in 6 months • You can explain how our data systems behave under load, • You’ve measurably improved performance or reliability, • Production data issues are diagnosed faster, • At least one scaling or performance bottleneck has been removed How we work We’re a small engineering team where your work directly affects customers. We value: • Engineers who think in systems, • Clear reasoning about correctness and trade-offs, • People who understand how data and infrastructure decisions impact real users Even in data-focused roles, we expect engineers to understand product context and customer impact. Logistics / Hiring / Benefits • UK-based remote role. Monthly London meetup (travel covered for those further out)., • Right to work in the UK required., • Three-stage process including short take-home task., • Great annual leave + stock options.

Senior Backend Developer (.NET | AI-First SaaS Platform) Compensation: Competitive, based on location and experience Location: UK or Turkey (Hybrid – Office & Remote) Keepnet is an AI-driven SaaS platform experiencing strong, sustained growth in the UK with growing global momentum, helping organisations manage human cyber risk at scale. With Agentic AI live in production, Keepnet runs autonomous systems that plan, build, and operate security awareness and human risk workflows, supported by strong guardrails and observability. We’re looking for a Senior Backend Developer who wants to build production-grade backend services that power these systems, working in a multinational, AI-first engineering team where quality, ownership, and long-term thinking matter. What You’ll Do • Design, build, and maintain scalable backend services for Keepnet’s Human Risk Management platform., • Build clean, modular APIs that integrate internal services and third-party systems to enable automation, reporting, and security workflows., • Develop testable, maintainable codebases using principles such as Clean Architecture, DDD, and TDD., • Own the full development lifecycle: design, implementation, CI/CD (Azure), and post-release monitoring., • Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows., • Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues., • Collaborate closely with frontend, product, and customer-facing teams to deliver features that solve real customer problems., • Participate in Agile ways of working, focused on iteration, ownership, and continuous improvement. What We’re Looking For • 8+ years of experience building backend systems with .NET., • Strong understanding of API design, distributed systems, and asynchronous architectures., • Experience with SQL and NoSQL databases (PostgreSQL preferred), caching, and queuing systems., • Familiarity with cloud environments and DevOps practices (Azure preferred)., • Comfort working on production SaaS platforms, with ownership beyond deployment., • Experience using AI-assisted development tools (e.g. Cursor or similar) to support code exploration, refactoring, testing, or design discussions—while maintaining strong engineering judgment., • A strong sense of ownership and production accountability, including monitoring, debugging, and continuous improvement., • Ability to understand product and business context, making pragmatic technical decisions that balance user value, risk, and long-term goals., • A security-conscious mindset, building systems that are secure by design. Life at Keepnet At Keepnet, engineering is about craft, collaboration, and impact. What you can expect: • Hybrid Working: A balance of in-office collaboration and remote focus time., • Thoughtful Engineering: Time and space to design systems properly, not just ship quickly., • Global Context: Work on a multinational SaaS platform used across multiple regions., • AI-First Environment: AI-assisted development and production-grade AI systems are part of everyday work., • Annual Leave: 25 days (+1 per year of service)., • Health & Well-being: Gym support and cycle-to-work scheme., • Team Culture: Monthly team lunches and quarterly offsites., • Continuous Learning: Learn from experienced peers and grow your skills over time. Why This Role Is Different This role is for engineers who: • Care about system design and long-term maintainability, • Enjoy working with experienced peers who challenge each other constructively, • Prefer preventing incidents over reacting to them, • Want to build software used by real customers at real scale, • Believe good engineering is as much about ownership and judgment as it is about code If that sounds like you, we’d love to talk.

Full-Stack Engineer Location: London (Hybrid) Salary: Up to £80,000 + benefits We have partnered with a well-funded, founder-led technology startup operating in the sports and media space, building next-generation systems for processing and analysing live content in real time. As the platform scales, they’re hiring a Full-Stack Engineer to design and deliver high-performance systems across real-time data pipelines, modern frontend applications, and AI-enhanced product features. What You’ll Do as a Full-Stack Engineer: • Own the end-to-end delivery of real-time video, data, and AI-driven analysis across a modern digital content platform., • Design and build resilient backend services using Java and cloud-native infrastructure., • Develop modern, high-performance frontend applications using TypeScript and a modern JavaScript framework., • Architect and maintain real-time data pipelines using event-driven systems and streaming technologies., • Work across cloud-based serverless and containerised infrastructure to deploy scalable, production-ready systems., • Integrate LLM APIs and AI-powered workflows into product functionality and engineering processes., • Leverage AI coding assistants and modern development tooling to accelerate development and automate workflows., • Collaborate closely with a small, high-trust engineering team to ship features quickly and reliably., • Take ownership of system architecture, infrastructure decisions, and production deployments. Core Technology Stack: • Backend: Java, distributed messaging systems, relational databases, Docker, infrastructure as code, • Frontend: TypeScript, modern JavaScript frameworks, • Infrastructure: Cloud-native serverless and containerised environments, • AI Tooling: Regular use of AI-powered development tools and coding assistants What We’re Looking For in a Full-Stack Engineer: • A polyglot engineering mindset with the ability to work across multiple languages and systems., • Strong experience building backend services and distributed systems., • Ability to read, understand, and contribute to Java-based systems., • Frontend experience with modern frameworks such as React, Vue, Svelte, or similar technologies., • Hands-on experience integrating LLM APIs from leading providers., • Regular use of AI tools and coding assistants to increase development velocity and automate workflows., • Strong engineering fundamentals including testing, documentation, security, and performance optimisation., • Comfort working in fast-moving environments where ownership, clarity, and delivery are expected. Nice to Have’s as a Full-Stack Engineer: • Experience in sports technology, live event data systems, or digital media platforms., • Exposure to streaming technologies or real-time data processing frameworks., • Strong experience designing data architectures and large-scale distributed systems. This is a rare opportunity for a Full-Stack Engineer to help shape a real-time digital platform from an early stage, working with modern cloud infrastructure and AI-augmented engineering workflows to deliver high-impact systems.