Server Monitoring Projects

Short-term Order Processing Assistant

I'm looking for an experienced Short-term Order Processing Assistant to accurately manage and fulfil customer orders from start to finish. What you'll do: • Accurately enter and verify customer orders into company systems, including product details, quantities, pricing, and shipping information • Monitor order status throughout the fulfilment process and provide timely updates on dispatch, delivery dates, or delays • Check inventory levels, identify stock shortages, and coordinate with warehouse teams to ensure availability • Generate and process shipping documents, invoices, and return authorisation labels as required • Troubleshoot order issues such as incorrect items, pricing errors, or address discrepancies to prevent fulfilment delays • Act as the first point of contact for order inquiries, resolving issues and ensuring high customer satisfaction If you're organised, detail-oriented, and experienced in order processing, send me a proposal!

opportunity

Brand Manager for premium womenswear fashion brand

Role: Brand Manager – Fashion E-commerce We are looking for a highly proactive and hands-on Brand Manager to support the day-to-day running and growth of a fashion e-commerce brand. This is an execution-focused role suited to someone who is organised, creative, and comfortable managing multiple areas including content, customer experience, website updates, and influencer outreach. Key Responsibilities: 1. Social Media (Instagram & TikTok) - Plan, create, and post daily content across Instagram and TikTok - Execute a minimum of 2 posts per day - Monitor engagement and respond to comments and DMs - Stay on top of trends and adapt them for the brand 2. Website Management - Update and manage the Shopify website (products, descriptions, pricing, inventory) - Ensure the website is visually aligned and conversion-focused - Monitor product performance and flag issues 3. Email & Email Marketing - Manage incoming customer emails and enquiries - Create and send email campaigns (product drops, promotions, updates) - Maintain and organise email lists 4. Customer Service - Handle customer enquiries across email, social media, and website chat - Manage returns, exchanges, and order-related issues - Deliver a high-quality and responsive customer experience 5. Influencer Outreach & PR Gifting - Identify and reach out to influencers and creators - Coordinate gifting and track performance - Build and maintain relationships with creators Requirements: - Experience managing Instagram and/or TikTok accounts - Comfortable creating content (filming and editing on phone) - Experience with Shopify or similar platforms - Strong written communication skills - Highly organised and detail-oriented - Proactive and able to work independently Nice to Have: - Experience in fashion, beauty, or e-commerce - Familiarity with email marketing platforms (e.g. Klaviyo, Mailchimp) - Experience with influencer marketing or PR gifting What We’re Looking For: - Someone who executes quickly and consistently - Creative, but also organised and reliable - Comfortable wearing multiple hats - Takes ownership and gets things done without being asked Targets (First 30 Days): - Consistent daily posting (minimum 2 posts/day) - Improved response time to customer enquiries - Active influencer outreach pipeline - Regular website updates and email campaigns

Senior Next.js Developer Needed for Security Technology Website

Summary Description We are building a new product website for UROSECURE, an AI-enabled physical security platform used by schools and enterprises to control visitor entry and monitor security at campuses and offices. Our platform includes: Entry hardware consoles (UROGuard) Identity verification Real-time alerts via email/SMS/mobile Cloud dashboard (multi-branch monitoring) AI behaviour analysis Project Scope We need an experienced Next.js / React developer to build a modern SaaS-style website based on our prepared content, diagrams, and wireframes. The website should include the following pages: Homepage Platform overview Hardware page AI security page Solutions (Schools / Enterprise) Case studies Resources / blog Contact page Legal pages (privacy / terms) Design Requirements The website design should look similar to modern SaaS / cybersecurity platforms such as: CrowdStrike Datadog Cloudflare SentinelOne We want a dark cybersecurity style interface with strong product storytelling. We already have: content drafts product architecture diagrams platform workflow visuals case study content Deliverables Developer will deliver: Complete Next.js website Responsive UI SEO optimization Deployment to Vercel Clean reusable components How to Apply Please include: Links to Next.js websites you have built Your preferred stack for this project Estimated timeline Applications without relevant portfolio links will not be considered.

Bus accts set and up posting on five social media accounts

Set up Business Social Media Accounts, Manage and optimize posting across five social media accounts for a travel tour company. Create and schedule engaging content promoting Great Wall Vacations, drive targeted US traffic to the website, and maintain consistent brand voice. Implement strategic hashtags, captions, and visuals to boost engagement and conversions. Monitor performance metrics, adjust tactics for improved reach, and provide concise reports on campaign effectiveness and traffic growth.

opportunity

Trading bot development

Project Overview We are building a high-performance, low-latency trading engine designed for microstructure-based execution strategies in a high-tax (STT) environment. This is NOT a basic retail trading bot. This system requires advanced system-level engineering, multi-core CPU architecture control, shared memory communication, and real-time observability dashboard. The focus of this project is minimizing latency between signal generation and order execution while maintaining regulatory compliance (Order-to-Trade Ratio constraints). The developer must understand low-level performance optimization, concurrency architecture, and Linux system behavior. Core Technical Requirements Python Version (Mandatory) The engine must use: Python 3.13 Free-Threaded build (3.13t) NOT standard Python 3.10–3.12 Reason: Standard Python uses the Global Interpreter Lock (GIL), which blocks true parallelism. In low-latency systems, a 1–2ms delay caused by GIL contention is unacceptable. Multi-Core Architecture with CPU Core Pinning The engine must: Assign specific modules to specific CPU cores Use os.sched_setaffinity (Linux only) Prevent OS core migration (avoid context switching) Modules include: Sentinel (Risk & OTR monitoring) Sonar (Market entropy / regime detection) Oracle (Signal calculation loop) Execution Engine (Order placement) The goal is to eliminate unpredictable latency spikes caused by OS scheduling and cache invalidation. Inter-Process Communication Standard Python queues are NOT acceptable. Communication must use: multiprocessing.shared_memory Memory-mapped buffers Lock-free ring buffer architecture Reason: Standard queues introduce locking and object allocation overhead, increasing latency. The target is sub-millisecond internal communication between signal generator and execution engine. Latency Measurement The system must measure: End-to-end order placement latency Round-trip time (RTT) Module processing time Using: time.perf_counter_ns() Latency histogram logging This data must be streamed to the dashboard. Order Execution Logic The system should: Prefer passive limit orders Include 200ms cancel logic Manage Order-to-Trade Ratio (OTR) Implement controlled order flooding logic (compliant with broker rules) This is not a simple market order bot. FRONTEND REQUIREMENTS (React Dashboard) The frontend is NOT a trading UI. It is a real-time monitoring and control cockpit. Preferred stack: React (Vite or Next.js) WebSocket for live streaming Lightweight charting (Canvas or WebGL-based) Required Dashboard Modules Sentinel Panel Real-time RTT graph 20ms lockdown threshold indicator CPU usage per pinned core Emergency status Sonar Panel Market regime indicator (Attack / Veto mode) Entropy score display Zero-trust gate status Oracle Panel Weighted Order Book Imbalance (WOBI) heatmap Liquidity imbalance % Signal strength score Must use high-performance rendering (Canvas, not heavy SVG). Execution Panel Net Expected Value (NEV) Fill rate % Cancel rate Order-to-Trade Ratio (OTR) status Emergency Kill Switch Dashboard must include: Global kill switch Sends signal to monitoring service Monitoring service writes flag to shared memory Engine halts immediately Dashboard must NOT communicate directly with broker API. Deployment Requirements Linux-based environment (Ubuntu preferred) Dockerized setup preferred Separate processes: Trading engine Monitoring microservice React frontend Google Cloud compatible. 10 MOST IMPORTANT SKILLS TO ADD Attach these skills on Freelancer: Python 3 (Advanced Concurrency & Multiprocessing) Must understand GIL, free-threaded builds, shared memory. Low-Latency System Design Experience reducing microsecond-level bottlenecks. Linux System Programming Knowledge of CPU affinity, process scheduling, performance tuning. Multithreading & Multiprocessing Architecture Designing multi-core optimized applications. Memory Management & Shared Memory IPC Experience with mmap, shared memory buffers. Financial Market Microstructure Knowledge Understanding order books, liquidity imbalance, passive vs aggressive orders. WebSocket & Real-Time Streaming Required for live dashboard data. React.js (Performance-Optimized UI) Real-time data rendering without UI lag. Performance Profiling & Benchmarking Must measure and optimize latency. Cloud Deployment (Google Cloud / Linux VM / Docker) Production-ready deployment experience. VERY IMPORTANT Add this to filter weak developers: Applicants must answer the following: Have you worked with Python shared memory or mmap before? Have you implemented CPU core pinning on Linux? How would you measure internal engine latency? How would you prevent dashboard from affecting trading engine performance? This will eliminate 80% of generic bot developers.

opportunity

Integrate Anthropic to remove manual labour

Hi all, Internally we have some manual processes where we want to integrate Ai into the business. The main process that we require would be below: Sales Process Web enquiries come in and we send a quote. We don’t have fixed prices as these can change every quarter but we would like the ability to use Ai to implement this job. For regular clients that email in we would also have to quote, some product is standard and straight off the price list which I assume AI could help. Bespoke would still have to be done manually. Order processing We get email orders from clients. They send masters and artwork via email. We upload the content to a portal and the artwork is checked by us through a third-party programme. This is all a manual process. We send the artwork by PDF email to the client for approval. Invoicing Supplier sends an XML file every day which we upload onto our bespoke system which then takes the data and creates our invoice using the data and we add in our pricing. Paper waste With every order there are a lot of emails going back and forth with many changes on the order along the way. We print these emails out and collate this with the invoice as these would include some extra charges. We invoice the extra charges and email to clients. The paperwork is then scanned and stored on our servers and once this is done the actual paper is then disposed of. i would like to automate these processes using Anthropic and i'm looking for someone to help me do this.

Advanced Gantt Chart for Project Management Dashboard

I am looking for an experienced Power BI developer to build an advanced Gantt Chart visualization for a project management dashboard. The dashboard is used to track multiple projects and detailed task timelines, and the Gantt chart should provide a clear and interactive way to monitor project progress. Requirements The Gantt chart should support detailed project management information including: Multiple projects Project phases and sub-tasks Start date / End date Task duration Progress percentage Milestones Dependencies between tasks Responsible team or department Ability to filter by project, phase, and timeline A clear timeline view similar to MS Project Technical Requirements Must be built in Power BI Should work with large datasets Can use custom visuals or advanced Power BI modeling Must integrate into an existing Power BI dashboard

I am looking to hire someone to manage our social media

Seeking an experienced social media manager to oversee ongoing content strategy and execution for a small startup. Responsibilities include creating engaging posts, scheduling across platforms, optimizing content for audience growth, monitoring analytics, and refining strategy to boost reach and engagement. Ideal candidate is proactive, creative, familiar with best practices, and able to deliver consistent, on-brand content to support our growth objectives. Long-term collaboration preferred.

Old Gaming Room VS NEW ROOM

Create a striking YouTube thumbnail contrasting an old gaming room with a modern, upgraded setup. Design must be high-resolution, visually compelling, and optimized for click-through: bold typography, vivid color grading, clear before-and-after split, expressive facial reaction or avatar, and emphasized focal elements (retro gear vs. sleek monitors, RGB, ergonomic chair). Deliver layered source file, export in 1280x720 and 1920x1080, and include versions with and without text. Fast turnaround and attention to composition and legibility required.

UI/UX Designer — AI Infrastructure Product (early-stage startup)

We are an early-stage deep-tech startup building infrastructure for distributed AI workloads. Our product enables AI tasks to run across a global network of machines, with a strong focus on reliability, security, and observability. We are currently working on internal tools and interfaces that help visualize and manage complex system behavior — and we’re looking for a designer who can help us shape these experiences. --- What you’ll work on • Designing clean and intuitive interfaces for complex systems • Creating UI for internal tools and monitoring environments • Visualizing system states, metrics, and workflows • Improving usability of data-heavy interfaces • Contributing to early product design decisions --- What we’re looking for • Experience in UI/UX design (web-based tools or dashboards is a plus) • Ability to simplify complex information into clear interfaces • Strong sense of layout, hierarchy, and visual clarity • Attention to detail and consistency • Comfortable working with evolving product requirements

New business person

We are a design and marketing agency looking for someone for new business monthly to: Locate new clients and add to database. (you can use AI if needed) Get the best contact for the company Arrange a database of contacts to make sure we are not contacting the same people twice (we use hubspot) send out PRIVATE emails to clients and arrange calls (we will then take over) Send out PUBLIC email newsletetrs using our campaign monitor account. Apply for jobs here on PPH Search for people needing our services on SOCIAL WE HAVE: We have a specific target market and info on them we have emails set up for contact Payment will be set up as: Monthly payment for tasks £100. Additional fees for meetings booked that fit our criteria. £10 per meeting booked. Ideally UK but could be overseas also Please Apply and we will discuss the details with selected candidates.

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

AI / Machine Learning Engineer (LLM & Applied AI) – Remote (EU)

Responsibilities AI / Machine Learning Build and deploy AI-powered applications using existing Large Language Models (LLMs). Design systems that ingest data, extract structured insights, and generate accurate outputs. Develop RAG pipelines, chunking strategies, and LLM orchestration workflows. Build tools for model training, evaluation, inference serving, monitoring, and alerting. Experiment with modern ML frameworks and open-source AI tools. Software Engineering Develop scalable microservices that integrate AI models with production systems. Build APIs and backend services to process and manage AI-generated data. Work with modern programming languages such as Python, JavaScript, Go, or Rust. Data Engineering Design pipelines to extract, transform, and load data from multiple sources. Clean, normalize, and validate datasets for model usage. Optimize data pipelines for reliability and performance. Database & Infrastructure Design database schemas and optimize queries. Manage performance and scalability of data storage systems. Ensure AI infrastructure is production-ready and scalable. Collaboration Work closely with product managers, engineers, and subject matter experts. Communicate technical challenges and solutions clearly. Help define best practices for AI system architecture and development. Requirements Based in the European Union 8+ years of software engineering experience Strong experience with Python or JavaScript Hands-on experience with LLM APIs (OpenAI, Anthropic, or similar) AI / LLM Experience Experience building RAG systems Knowledge of chunking strategies for LLM optimization Experience with LangChain, LangGraph, or similar orchestration tools Familiarity with AI monitoring, observability, and evaluation frameworks Experience building agent-based workflows or AI automation Engineering Experience Experience building microservices and scalable systems Strong knowledge of data pipelines and ETL processes Experience designing and optimizing databases and data models Additional Skills Strong understanding of ML concepts and NLP techniques Ability to work with ambiguous problems and rapidly evolving AI tools Experience with modern software development practices (Git, testing, CI/CD, code reviews) Engagement Details Location: Remote (EU-based freelancers only) Contract: Freelance Availability: Part-time or Full-time Duration: Long-term collaboration possible Nice to Have Experience building AI agents or multi-agent workflows Experience with evaluation frameworks for LLMs Experience deploying AI infrastructure in production environments

opportunity

Landing Page + Admin Dashboard Developer Needed

We are currently in the early planning phase of building a larger digital platform, and at this stage, we’re looking for a skilled developer to create a clean, modern landing page that will act as the public face of our brand. The goal of this page is to capture early interest and allow users to pre-register before the full platform is developed. This is a focused, pre-launch project where simplicity, performance, and user experience are key. The main requirement is to design and develop a fully responsive landing page that works seamlessly across mobile, tablet, and desktop devices. The page should include a user-friendly pre-registration form to collect basic user information such as email addresses. This data should be stored securely in a database and must be easily exportable as a CSV file for future use. In addition to the landing page, we also require a simple admin dashboard where we can monitor user activity. This dashboard should allow us to track the total number of sign-ups as well as view daily registration trends in a clear and organized way. The project should be deployed on platforms such as GitHub or Vercel, with clean and maintainable code provided as part of the final delivery. We are open to the technical approach, but preference will be given to developers experienced with modern frameworks such as React or Next.js, along with backend solutions like Firebase, Supabase, or Node.js. A good eye for design and user experience is highly valued, as the landing page should feel professional, fast, and conversion-focused. Deliverables: - A fully responsive landing page (hosted on GitHub or Vercel). - A database of pre-registered users that can be exported as CSV. - An admin dashboard to track the number of daily sign-ups.

opportunity

AI Coordinator

AI Operations Expert for Multi-Channel Ecommerce Overview I run a fast-growing online brand selling through multiple storefronts. I need help from an AI operations expert to streamline our marketing and operations across all platforms. Scope of work - Clone and redeploy marketing assets across Amazon, Etsy, TikTok Shop, website, eBay, Facebook, and Instagram. - Design automated funnels turning social followers into customers using chatbots and dynamic offers. - Monitor and optimize AI stack, including data pipelines, prompt tweaking, insights surfacing, and documentation. - Ensure platforms pass brand-review spot checks and deploy unified creative assets. - Develop automated funnels ready for attribution from first social touch to checkout. - Create a clear dashboard or weekly report with performance metrics and system alerts. - Document step-by-step SOPs for junior team members to run basics. References - Current tools: Shopify, Zapier, Klaviyo, Meta Ads Manager, Amazon Ads, ChatGPT; Open to Make, Tray.io, Manychat. Additional information I'd love to hear how you can prove a more efficient mix of tools. Let's set up a call and map the roadmap together. Company details - I run a fast-growing online brand with storefronts on Amazon, Etsy, TikTok Shop, website, eBay, Facebook, and Instagram. - Ecommerce Automation Type Data syncing, Marketing campaign, CRM workflows, Task automation, Email automation ntegration Points Website, Shopify, Social Media, Email Platforms , , , Websites, , , Instagram, Shopify, Zapier Ideal candidate (Optional) Budget and timeline (Mandatory)

I need an experienced AI engineer

We are hiring a Senior AI Engineer to own and accelerate AI capabilities across the platform — from customer-facing features to internal agentic workflows and production-grade AIOps. This is a high-impact, hands-on role where you will shape the next generation of AI systems and directly influence customer experience, product velocity, and operational efficiency. The Opportunity You will lead development across three core pillars: - AI Product Engineering – Ship core AI-powered features — intake, scheduling, session notes, billing automation, and more. - AI Foundations / Enablement – Build reusable primitives, evaluation tooling, and golden paths. - Agentic Workflows & AIOps – Create AI agents that automate operational work and support internal operations. What You’ll Do AI Product Engineering (Customer-Facing Features) - Build AI features end-to-end: requirements → design → implementation → rollout → evaluation. - Implement LLM-backed workflows including summaries, extraction, structured output, copilots, billing scrubbing, and guided automation. - Collaborate across Product, Design, QA, and Clinical SMEs. Own AI-powered improvements across: RCM, scheduling, intake, documentation, reporting, customer support automation. AI Foundations / Enablement - Create reusable AI primitives: prompt templates, agent patterns, tool schemas, safety guardrails, retrieval modules. - Build evaluation harnesses and continuous regression testing. - Enable developer productivity via AI coding tools and best practices. - Establish “golden paths” for consistent and safe AI feature delivery. Agentic Workflows & AIOps - Develop in-platform agents for billing checks, eligibility validation, claim scrubbing, data cleanup, workflow routing, and anomaly detection. - Build AIOps capabilities: incident summaries, RCA suggestions, intelligent alerts, correlation. - Integrate with telemetry systems for intelligent operations. LLMOps / Production-Ready AI - Implement monitoring, cost governance, retries, fallbacks, and safe-mode behavior. - Own prompt/model evaluation frameworks and online QA metrics. - Ensure HIPAA-aligned data flows: privacy controls, redaction, audit logs, PHI boundaries. Data & Infrastructure - Build vector stores, embeddings, retrieval workflows, and knowledge bases. - Partner with data engineering for eval datasets and rulesets. - Contribute to scalable infrastructure for AI agents and async workflows. Tech Stack - AI Platforms: Azure OpenAI, OpenAI, Anthropic, Bedrock - Frameworks: RAG, agents, orchestration - Backend: .NET, Node.js, Python - Data: SQL Server, Postgres, Redis, vector databases - Observability: Grafana, Loki, Prometheus, OpenTelemetry - Cloud: Azure, AWS, Docker, Kubernetes - AI Dev Tools: Copilot, Claude Code, Cursor, Kiro What You Bring - 5–10+ years building production software systems. - Hands-on experience delivering LLM-powered features or AI agents. - Strong engineering fundamentals. - Experience with LLMOps, safety, monitoring, evaluation. - Strong cross-functional communication. - Healthcare / HIPAA experience a plus. - Fluent English

Social Media Customer Attraction Campaign

I need a results-driven social-media push that will bring new online customers to my business. The core objective is straightforward: convert fresh eyes into loyal buyers through engaging posts, compelling ad creatives, and consistent community interaction. You’ll take charge of the entire funnel on the platforms you feel suit us best—whether that’s Facebook, Instagram, TikTok, or a smart mix—optimising each channel to pull qualified traffic straight to our store. Insightful audience research, scroll-stopping visuals, persuasive copy, and data-led A/B testing should shape every step. By project end I expect: • A clear social strategy document outlining target personas and platform tactics • A 30-day content calendar with captions, hashtags, and asset guidelines • Three ad sets ready to launch, each complete with creative, copy, and audience parameters • A simple reporting template so I can monitor reach, engagement, and conversions If you’re confident you can spark real growth and you have examples of campaigns that turned followers into paying customers, let’s talk.

Senior AI/ML Engineer

I’m upgrading our risk-and-compliance platform and need an EU-based engineer who can blend robust software craftsmanship with hands-on machine-learning expertise. The mandate is to automate decision-making across key customer-facing features by fusing classical ML techniques with Large Language Models. You’ll design the end-to-end pipeline in Python, harnessing PyTorch, TensorFlow or scikit-learn to train, evaluate and continuously improve models, then ship them as production-ready services that scale and stay maintainable. Solid experience integrating models into distributed systems, setting up meaningful evaluation metrics and communicating findings to non-technical stakeholders will be crucial, as you’ll work side-by-side with product, legal and data teams. Deliverables I’ll review: • Clean, well-documented Python codebase that builds, tests and deploys the chosen models • Containerised service or microservice exposing the decision-automation endpoint • Evaluation report covering model performance, drift-monitoring strategy and rollback plan If you have 4+ years of professional software engineering in production ML settings and can articulate your design choices clearly in English, I’d like to hear how you would tackle this challenge.

opportunity

Music led AI proposition (MVP - next stage)

Hi All, see below what we are looking for: We've developed an AI-powered platform built to help businesses craft compelling pitches and proposals. Currently at MVP stage and using the Claude AI API, the product has proven its core concept and is ready to scale. We’re looking for an experienced consultant developer to take it from MVP to a robust, secure, multi-tenant product that is ready for commercial growth. The Role This is a freelance/contract engagement, fully remote. You’ll work closely with the founder to define the roadmap, make key technical decisions, and deliver a more polished, secure, and scalable version of the product. The right person will be comfortable working across the full stack and will have a genuine interest in AI-powered products. Scope of Work 1. Build Out the Product Proposition • Evolve the MVP into a fuller product experience — improved UX, additional features, and a clearer user journey. • Identify and close gaps between the current MVP and a market-ready product. • Work collaboratively to define and prioritise the feature roadmap. 2. Multi-Tenant Authentication & Secure Login • Design and implement a secure, scalable multi-tenant login architecture so that separate companies can access the platform with fully isolated accounts. • Implement role-based access control (RBAC) where appropriate. • Evaluate and integrate a suitable auth provider (e.g. Auth0, Clerk, Supabase Auth, or similar). 3. Security Enhancement • Audit the current codebase and infrastructure for security vulnerabilities. • Implement security best practices: input validation, rate limiting, secrets management, and secure API handling. • Ensure GDPR compliance for UK/EU users — data handling, storage, and deletion policies. • Set up appropriate logging and monitoring for security events. 4. Improve AI Matching & Recommendations • Review and refine the existing Claude-powered matching logic. • Improve the quality, relevance, and consistency of AI-generated outputs. • Explore additional prompt strategies, context management, and retrieval approaches (e.g. RAG) to strengthen results. 5. Optimise the Claude API Configuration • Audit and refine the existing Claude API set-up: model selection, system prompts, token usage, and response handling. • Implement cost controls and ensure API usage is efficient and well-monitored. • Stay current with Anthropic’s best practices and model updates. 6. Scalability & Infrastructure • Assess the current infrastructure and recommend improvements to support growth. • Ensure the system can handle multiple concurrent users and company accounts without degradation. • Implement database optimisations and appropriate caching where needed. 7. Testing, Documentation & Handover • Establish a testing strategy (unit, integration, and end-to-end tests) to ensure code quality as the product scales. • Document the architecture, API, and key decisions so future developers can contribute effectively. • Provide a clean handover with clear notes on any ongoing work or future recommendations. What We’re Looking For • Proven experience taking products from MVP to production-ready, at pace. • Strong full-stack development skills — comfortable across front-end, back-end, and infrastructure. • Solid understanding of authentication systems and multi-tenant architectures. • Experience with LLM APIs — ideally Claude/Anthropic, or similar (OpenAI, Gemini). • Security-conscious mindset with practical knowledge of common vulnerabilities and mitigations. • Familiarity with GDPR and data privacy requirements in the UK/EU context. • Strong communicator — able to translate technical decisions into plain language for a non-technical founder. • Fluent in written and spoken English — clear communication is essential as you’ll be working closely with the founder throughout. • Self-directed, reliable, and comfortable working asynchronously. • Experience with prompt engineering and LLM optimisation. • Background in B2B SaaS products. • Knowledge of RAG (Retrieval-Augmented Generation) or vector database approaches. • Familiarity with analytics and observability tooling. A few notes: 1. If you can't communicate in English please don't apply as i will need to speak to you to grow this 2. Must have experience in developing or creating Ai websites (i will be asking for this) 3. Make sure your application is relevant to what the above is asking, if it isn't then it will auto-rejected. Thanks

opportunity

Operations & Execution Manager Audit

Description: We are looking for an experienced Operations Manager or Business Execution Consultant to review our organization and ensure all departments are properly structured and running efficiently. Your role will be to oversee systems, sales processes, hiring structure, and execution of the master plan to ensure everything is organized and progressing correctly. Responsibilities: 1. Department Structure Review all departments and ensure they are correctly structured Confirm that each team member has clear responsibilities Identify areas where the team may be overstaffed or understaffed 2. Systems & Operations Review the internal systems used across departments Ensure all operational processes are organized and up to date Recommend improvements or automation where needed 3. Outreach & Lead Generation Ensure outreach systems are in place and functioning properly Review lead generation processes and outreach strategies Confirm leads are being tracked and managed correctly 4. Sales & Closing Review the sales pipeline and closing process Ensure leads are followed up and converted properly Confirm sales tracking systems are accurate 5. Master Plan Execution Monitor progress against the company’s master plan Ensure tasks, milestones, and deadlines are followed Identify risks or gaps in execution and provide solutions Deliverables Full operations review Clear recommendations for improving structure and systems Ongoing monitoring to ensure execution and accountability Ideal Candidate COO-level advisor, operations consultant, or startup execution specialist Strong experience in business systems, sales processes, and team management Able to identify operational gaps and implement solutions Project Type: Freelance with potential long-term advisory role.