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Senior Full Stack Engineer – AI Helpdesk Platform We are hiring a Senior Full Stack Engineer to help build an enterprise-grade AI helpdesk platform focused on workflow automation, intelligent support experiences, and AI-powered employee assistance. Responsibilities • Design and develop user-facing applications for employees, support agents, and administrators., • Build frontend, backend, and API layers for chat interfaces, ticket submission, status tracking, and escalation workflows., • Develop AI/LLM-driven workflows to automate repetitive IT support tasks such as password resets, account unlocks, software access requests, and troubleshooting., • Integrate with enterprise ticketing, identity management, collaboration, and ITSM systems., • Implement prompt workflows, guardrails, fallback handling, and human escalation processes., • Own features end-to-end from architecture and development through deployment and optimization. Required Skills • Strong full-stack engineering experience with modern frontend and backend frameworks., • Proficiency in Python, Node.js, or Java., • Experience building REST APIs, workflow services, and production-grade web applications., • Working knowledge of LLM APIs, prompt engineering, and AI agent/tool-calling patterns., • Familiarity with authentication, RBAC, logging, and secure development practices. Preferred Experience • Experience integrating with platforms such as ServiceNow, Jira, Zendesk, Microsoft Teams, Slack, or similar enterprise tools., • Experience building internal enterprise support or automation tools.

Key Responsibilities • Administer and maintain Jira Cloud/Data Center environments., • Configure and manage projects, workflows, issue types, screens, schemes, and dashboards., • Manage user access, roles, groups, and permission schemes., • Design and implement Jira automation rules and notifications., • Support Agile teams using Scrum and Kanban methodologies., • Integrate Jira with third-party tools such as GitHub, Bitbucket, Slack, CI/CD tools, and Confluence., • Create custom fields, reports, filters, and dashboards based on business requirements., • Troubleshoot Jira-related issues and provide user support/training., • Perform system upgrades, plugin management, and maintenance activities., • Collaborate with development, QA, DevOps, and business teams to optimize workflows and processes., • Ensure platform security, governance, and best practices are followed.

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

AI Engineer / Workflow Automation Specialist Salary Up to £55,000-£60,000 DOE Location Fully Remote (UK-based) Type Full-time, Permanent About TRAKD TRAKD has partnered with a forward-thinking performance marketing agency pushing the boundaries of what's possible in the AI space. We've built out our own internal 'agency brain,' a self-hosted AI system running on Mac Minis via OpenClaw, pulling together data from across the entire business: Notion playbooks, Xero invoicing, Fireflies call recordings, Slack communications, and more. They're not just an agency that talks about AI; we're actively building the infrastructure to make every team member smarter, faster, and more effective. This hire is central to that mission. The Role We're looking for an AI Engineer to own, maintain, and expand our agency brain. This is a rare opportunity to work directly with our founder on genuinely cutting-edge internal tooling that most agencies haven't even started thinking about, especially in the UK. You'll be responsible for keeping existing AI workflows running reliably, building new agents and automations as ideas emerge from the team, and proactively bringing forward ideas that improve how we operate. Key Responsibilities Agency Brain Development & Maintenance • Own the upkeep and reliability of our OpenClaw-based agency brain, • Ensure integrations with Notion, Xero, Fireflies, Slack, and other platforms remain stable, • Diagnose and fix workflow breakages before they impact the team, • Continuously improve data ingestion, retrieval, and output quality AI Workflow & Agent Building • Design and build new AI-driven workflows based on internal briefs from leadership and ops, • Build agents for use cases such as: client sentiment analysis, churn detection, revenue opportunity spotting, and creative strategy generation, • Develop automated research-to-output pipelines — e.g. pulling TikTok/Instagram creative data and generating full brand strategy documents for strategists, • Explore and implement end-to-end creative workflows (e.g. pulling performance data → analysing → generating ad variations via AI video tools) LLM & Tooling Expertise • Stay at the forefront of developments across LLMs (Claude, OpenAI, Gemini, etc.) and agentic frameworks, • Identify cost-efficient ways to run workflows without burning unnecessary tokens or credits, • Evaluate and integrate new tools and MCP-connected services as they emerge About You Must-Haves • Hands-on experience building AI workflows and automations (n8n, Make, LangChain, or similar), • Deep familiarity with LLM APIs and prompt engineering, • Understanding of agentic AI systems, RAG pipelines, and vector databases, • Experience integrating third-party APIs (Slack, Notion, Xero, or similar), • Proactive, self-starting attitude you bring ideas, not just completed tickets Nice to Haves • Experience with OpenClaw or similar self-hosted agent runtimes, • Familiarity with sentiment analysis and NLP-based workflows, • Background in or exposure to performance marketing or creative agencies, • Experience with web scraping and social media data pipelines, • Knowledge of cost optimisation strategies for LLM usage at scale The Person Years of experience matter less than mindset. We're a team that subscribes to a 1% better every day philosophy; they want someone who shares it. You'll thrive here if you: • Keep your finger on the pulse of the AI world and get genuinely excited by new developments, • Spot opportunities to automate or improve things without being asked, • Communicate clearly and want to be part of a team, not just a coder in the corner, • Are comfortable working remotely but want to show up for team socials and culture What's On Offer • Salary up to £55,000-£60,000 depending on experience, • Fully remote working with flexibility, • Direct access to and collaboration with the founder, • The chance to build genuinely novel AI infrastructure this is not a maintenance role, it's a build role, • A fast-moving, ambitious team culture with regular socials, • Real scope for growth as the AI function expands

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

Senior Full Stack Engineer – AI Helpdesk Platform We are hiring a Senior Full Stack Engineer to help build an enterprise-grade AI helpdesk platform focused on workflow automation, intelligent support experiences, and AI-powered employee assistance. Responsibilities • Design and develop user-facing applications for employees, support agents, and administrators., • Build frontend, backend, and API layers for chat interfaces, ticket submission, status tracking, and escalation workflows., • Develop AI/LLM-driven workflows to automate repetitive IT support tasks such as password resets, account unlocks, software access requests, and troubleshooting., • Integrate with enterprise ticketing, identity management, collaboration, and ITSM systems., • Implement prompt workflows, guardrails, fallback handling, and human escalation processes., • Own features end-to-end from architecture and development through deployment and optimization. Required Skills • Strong full-stack engineering experience with modern frontend and backend frameworks., • Proficiency in Python, Node.js, or Java., • Experience building REST APIs, workflow services, and production-grade web applications., • Working knowledge of LLM APIs, prompt engineering, and AI agent/tool-calling patterns., • Familiarity with authentication, RBAC, logging, and secure development practices. Preferred Experience • Experience integrating with platforms such as ServiceNow, Jira, Zendesk, Microsoft Teams, Slack, or similar enterprise tools., • Experience building internal enterprise support or automation tools.

Key Responsibilities Administer and maintain Jira Cloud/Data Center environments. Configure and manage projects, workflows, issue types, screens, schemes, and dashboards. Manage user access, roles, groups, and permission schemes. Design and implement Jira automation rules and notifications. Support Agile teams using Scrum and Kanban methodologies. Integrate Jira with third-party tools such as GitHub, Bitbucket, Slack, CI/CD tools, and Confluence. Create custom fields, reports, filters, and dashboards based on business requirements. Troubleshoot Jira-related issues and provide user support/training. Perform system upgrades, plugin management, and maintenance activities. Collaborate with development, QA, DevOps, and business teams to optimize workflows and processes. Ensure platform security, governance, and best practices are followed. TPBN1_UKTJ