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  • Luupli
    AI Engineer
    AI Engineer
    hace 2 meses
    Jornada parcial
    London

    About Luupli Luupli is a social media app that has equity, diversity, and equality at its heart. We believe that social media can be a force for good, and we are committed to creating a platform that maximizes the value that creators and businesses can gain from it, while making a positive impact on society and the planet. Our app is currently in Beta Test, and we are excited about the possibilities it presents. Our team is made up of passionate and dedicated individuals who are committed to making Luupli a success. Job Description As an AI Engineer at Luupli, you will play a pivotal role in developing intelligent systems and orchestrating agentic workflows that power Luupli’s AI features. Your work will span Retrieval-Augmented Generation (RAG), multi-agent LLM orchestration, auto-captioning, generative media, and content moderation. You’ll use frameworks like LangGraph, LangChain, and Google’s Agent Development Kit to build persistent, scalable AI services on Google Cloud Platform (GCP). This is a full-stack AI role that spans intelligent backend APIs, LLM agent orchestration, and integration with product-facing features. Responsibilities Build and deploy multi-agent AI workflows using LangGraph, LangChain, or Google’s Agent Development Kit. Implement RAG pipelines using embeddings, semantic chunking, and vector databases (e.g., FAISS, Pinecone, Weaviate). Integrate hosted and open-source LLMs (OpenAI, Gemini, Claude, Ollama, Mistral) into intelligent systems. Build REST APIs with FastAPI and internal tools with Streamlit to expose AI functionality. Deploy production-grade services on GCP using Vertex AI, Cloud Run, Cloud Functions, IAM, and Pub/Sub. Embed AI into platform features such as auto-captioning, LuupForge (generative studio), feed personalization, and real-time moderation. Maintain modular, testable, observable, and secure code across the AI system lifecycle. Requirements 3+ years experience in applied AI/ML engineering (production-level deployments, not research-only). Strong Python development skills with full-stack AI engineering experience: FastAPI, Streamlit LangGraph, LangChain, or similar PyTorch, Transformers FAISS, Weaviate, or Pinecone Solid experience working with hosted APIs (OpenAI, Gemini) and self-hosted models (Mistral, Ollama, LLaMA). Deep understanding of LLM orchestration, agent tool-use, memory sharing, and prompt engineering. Hands-on experience with Google Cloud Platform (GCP); especially Vertex AI, Cloud Functions, Cloud Run, and Pub/Sub. Familiarity with best practices in cloud-based software development: containerization, CI/CD, testing, monitoring. Nice to Have Experience with Google’s Agent Development Kit or similar agent ecosystems. Familiarity with multimodal AI (e.g., handling text, image, audio, or video content). Prior experience developing creator platforms, content recommendation engines, or social media analytics. Understanding of ethical AI principles, data privacy, and bias mitigation. Experience with observability tools (e.g., Sentry, OpenTelemetry, Datadog). Data engineering experience, such as: Building ETL/ELT pipelines Working with event-based ingestion and structured logs (e.g., user sessions, reactions, feeds) Using tools like BigQuery, Airflow, or dbt Designing or consuming feature stores for AI/ML applications Compensation This is an equity-only position, offering a unique opportunity to gain a stake in a rapidly growing company and contribute directly to its success. As part of your cover letter, please respond to the following questions: This position is structured on an equity-only basis. Thus, it is presently unpaid until we secure seed funding. Given this structure, are you comfortable continuing with your application for this role? Have you built or contributed to agent-based AI systems using frameworks like LangGraph, LangChain, or Google’s Agent Development Kit? Do you have experience with Retrieval-Augmented Generation (RAG) systems and vector databases (e.g., FAISS, Pinecone, Weaviate)? Have you deployed AI systems on Google Cloud Platform? If not, which cloud platforms have you used and how? Have you integrated LLMs (e.g., OpenAI, Gemini, Claude) into autonomous or multi-step workflows? Can you explain how agents collaborate and maintain memory across tasked in multi-agent systems? What is your experience with prompt engineering, tool invocation, and orchestrated LLM workflows? Do you have any public code repositories (e.g., GitHub), demo URLs, or project write-ups showcasing your work?

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  • Orbit Financial Technology Limited
    System architect and developer
    System architect and developer
    hace 9 horas
    Jornada completa
    London

    System architect and developer Job Description: As a System Architect and Developer, you will play a critical role in designing, developing, and implementing robust, scalable, and secure systems that support our innovative AI-driven platform. You will lead a team of developers, collaborate with cross-functional teams, and contribute to strategic technology decisions that align with our business goals. Key Responsibilities: · Lead System Architecture Design: o Develop and implement system architectures that meet business requirements. o Ensure scalability, security, and performance of the platform. o Evaluate and recommend technologies and tools to enhance development efficiency. · Software Development: o Write clean, maintainable, and efficient code. o Oversee the development of new features and enhancements. o Conduct code reviews and ensure adherence to best practices. · Team Leadership: o Lead and mentor the development team in the London office. o Facilitate collaboration between developers, data scientists, and product managers. o Coordinate with the CTO to align the team's efforts with company objectives. · Project Management: o Define project scopes, timelines, and deliverables. o Monitor progress and adjust plans as necessary to meet deadlines. o Communicate project status and risks to stakeholders. · Quality Assurance: o Implement testing strategies to ensure software quality. o Address and resolve technical issues promptly. o Maintain documentation for system architecture and development processes. · Stay Current with Industry Trends: o Keep up-to-date with emerging technologies and industry best practices. o Integrate relevant advancements into the company's technology stack. Qualifications: · Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. · Experience: o Minimum of 7 years of professional experience in software development. o At least 3 years in a system architect or senior developer role. o Proven experience leading development teams. · Technical Skills: o Proficiency in programming languages such as Python, Java, or C++. o Strong understanding of AI and machine learning concepts. o Experience with cloud platforms like AWS, Azure, or Google Cloud. o Familiarity with microservices architecture and RESTful APIs. o Knowledge of database systems (SQL and NoSQL). o Experience with DevOps practices and CI/CD pipelines. · Soft Skills: o Excellent leadership and team management abilities. o Strong problem-solving and analytical skills. o Effective communication skills, both verbal and written. o Ability to work collaboratively in a fast-paced environment. What We Offer: · Competitive salary and benefits package. · Opportunity to work with a dynamic team at the forefront of AI innovation in finance. · Professional growth and career development opportunities. · A collaborative and inclusive work environment. · Flexible working arrangements.

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  • Issuebot.ai
    Data Analyst
    interview badgeEntrevistas mañana
    Data Analyst
    hace 1 día
    £55000–£60000 anual
    Jornada completa
    Borehamwood

    Summary: Are you passionate about uncovering insights hidden within data? We're looking for a Data Analyst to join our team and play a key role in driving data-driven decisions. You'll be responsible for collecting, processing, and analyzing complex datasets to identify trends, patterns, and opportunities that will help our organization achieve its strategic goals. Your work will directly influence business outcomes by providing actionable intelligence to stakeholders across the company. Responsibilities: Collect data from various sources, including databases, APIs, and other systems. Clean and prepare data for analysis, ensuring accuracy and consistency. Analyze data using statistical methods and tools (e.g., SQL, Excel, Python, R) to identify key trends, patterns, and anomalies. Develop and maintain reports, dashboards, and data visualizations to communicate findings to technical and non-technical audiences. Collaborate with cross-functional teams (e.g., marketing, sales, operations) to understand their data needs and provide analytical support. Identify opportunities to improve data collection, processing, and analysis methodologies. Document data analysis processes and findings to ensure reproducibility and knowledge sharing. Stay up-to-date with the latest trends and technologies in data analysis. Qualifications: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Economics, Computer Science) or equivalent experience. Proven experience as a Data Analyst or in a similar role. Strong proficiency in SQL for data extraction and manipulation. Excellent skills in Excel for data analysis and reporting. Experience with data visualization tools (e.g., Tableau, Power BI) is highly desirable. Familiarity with programming languages such as Python or R for statistical analysis is a plus. Solid understanding of statistical concepts and methods. Strong analytical and problem-solving skills with a keen attention to detail. Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely. Ability to work independently and collaboratively in a fast-paced environment. Job Description: Computer analysts and scientists research, design, develop, and optimize computer systems, algorithms, and software. They analyze computing needs, explore emerging technologies like AI, machine learning, and big data, and develop innovative solutions to complex computing problems. They may also work in theoretical research or applied computer science across various industries. Job Description: Data architects design and manage an organization’s data infrastructure. They create data models, define data standards, and ensure data systems are structured to support business processes, analytics, and decision-making. They establish policies for data integration, storage, and security, often collaborating with engineers and analysts. Data engineers build and maintain data pipelines and architectures that allow organizations to collect, process, and analyze large sets of data. They work on database management, ETL (Extract, Transform, Load) processes, data warehouses, and big data platforms, ensuring data is reliable, accessible, and efficiently processed for analysts and business use. IT systems architects design and implement the overall structure of IT systems within an organization. They ensure systems are scalable, secure, and aligned with business goals. They create technical blueprints, integrate hardware and software components, and evaluate new technologies to optimize IT operations. IT business analysts act as a bridge between business needs and IT solutions. They gather and analyze business requirements, assess existing systems, and recommend IT solutions that improve efficiency and meet organizational objectives. They also support testing, documentation, and change management during system implementations. IT solutions architects and designers focus on creating technical solutions tailored to specific business needs. They design software, applications, or system integrations, ensuring compatibility, scalability, and compliance. Their work involves selecting technologies, defining frameworks, and guiding development teams through solution implementation. This category covers IT specialists whose roles combine aspects of business analysis, architecture, and systems design but don’t fit neatly into standard classifications. They may work on hybrid projects, such as digital transformation, enterprise integration, or custom IT strategy, often requiring a mix of technical, analytical, and business expertise.

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  • Scope Design Construction LTD
    IT Technician
    IT Technician
    hace 17 días
    £42000 anual
    Jornada completa
    London

    Job Purpose We are seeking a skilled IT Technician to support the daily IT operations of our construction company. The role involves providing technical support to office staff, site-based teams, and project managers to ensure smooth running of IT systems across multiple projects and locations. Key Responsibilities Install, configure, and maintain computer hardware, software, networks, printers, and mobile devices. Provide first-line and second-line IT support for office and on-site employees. Manage and troubleshoot issues with project management software, CAD tools, and construction-specific applications. Support remote working setups and connectivity for site engineers and managers. Ensure data security, backups, and compliance with IT policies. Maintain and monitor servers, cloud systems, and company-wide networks. Set up IT infrastructure on new construction sites (internet, routers, access points, cabling). Liaise with external vendors and service providers when needed. Document IT procedures, asset inventories, and user guides. Provide training and guidance to staff on IT systems and best practices. Skills & Qualifications Diploma/Degree in IT, Computer Science, or related field (or equivalent experience). Proven experience in IT support, preferably in construction or engineering environments. Knowledge of Windows & Mac operating systems, Microsoft 365, and cloud platforms. Networking knowledge (LAN/WAN, Wi-Fi, VPNs, firewalls). Strong problem-solving skills and ability to work independently. Excellent communication skills to support both technical and non-technical staff. Full UK driving licence (preferred, as site travel is required). Mobility Requirement This role involves travel to different construction sites to set up and maintain IT systems in site offices and temporary facilities. Benefits Competitive salary package Opportunities for training and career development Company pension scheme On-site

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  • Seyfcom Security
    CCTV - Fire Alarm System Installation Engineer
    CCTV - Fire Alarm System Installation Engineer
    hace 20 días
    £15–£25 por hora
    Jornada completa
    London

    We are looking for experience CCTV, intruder alarm and fire alarm installers.

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