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About the Project \n Outlier helps the world’s most innovative companies improve their AI agents by providing human feedback. Do you want to shape the future of autonomous agents like OpenClaw? \n We collaborate with leading AI organizations to train Large Language Models (LLMs) to function as proactive, multi-step agents. Our projects focus on teaching these systems how to design, coordinate, and optimize complex, real-world architectural workflows. \n Whether you are a passionate orchestration guru or experienced software developer — we want you to help us train the world's most advanced generative systems. \n \n Ideal Qualifications \n\n • 2+ years of experience in backend engineering, AI automation, or complex systems integration.\n, • Proven ability to build and maintain production-grade software with modular separation (e.g., distinct services for data parsing, logic processing, and reporting).\n, • Strong command of at least two major languages (e.g., Python, JavaScript, Go, or Java) and experience working with SQL databases.\n, • Practical experience building for live, non-mocked environments and handling multi-turn system interactions.\n, • Outstanding attention to detail and the ability to provide clear, high-density technical feedback on complex system behaviors.\n\n \n Nice to have \n\n • Expertise building multi-stage coordination tasks where data acquisition leads to reasoned output.\n, • Hands-on experience integrating agents with live tools such as Supabase, Gmail, and various APIs to solve real-world problems.\n, • High level of comfort implementing persistent state and session discovery using MEMORY.md to track agent progress.\n, • Experience identifying subtle failures like privacy leaks, authority escalation, or indirect prompt injections.\n\n

Trainee AI Engineer – No Experience Needed Future-proof your career in Artificial Intelligence – starting today. Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. Train online at your own pace and land your first AI Engineer role in 1-3 months. Please note this is a training course and fees apply Job guaranteed - complete the programme and get a job or get your money back. Our candidates earn £28,000-£45,000. Why AI? AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. How It Works Step 1 – AI Engineering Fundamentals Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. Step 2 – Data Fundamentals Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. Step 3 – Notebooks & IDEs Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. Step 4 – Python Programming Master Python, covering everything from the basics to object-oriented programming (OOP). Step 5 – Python Streamlit Project Apply your Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. Step 10 – AI Specialised Customer Service Chatbot Project Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine Learning Project Put your machine learning knowledge into practice with a hands-on project. Step 13 – AI & Data Ethics Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. Step 14 – Oral Exam Complete a virtual oral exam to assess your understanding and ability to apply your learning. Step 15 – AWS Certified Cloud Practitioner Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. What You Get · 100% online, self-paced training · Microsoft AI-900 certification included · 1-to-1 tutor and recruitment support · Real-world project experience · Job guarantee – get a job or your money back · Starting salary of £28,000–£45,000 We Get You Hired We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London Ready to Start? If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Data & AI Engineer - Up to £50,000 Location: Newcastle or Manchester - HybridSecurity Clearance: UK SC eligibility required The Opportunity We are supporting a leading organisation within the Technology and Data space that deliver large-scale, technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies. The Role As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, production-ready solutions. Key responsibilities: • Designing and building scalable data pipelines, datasets, and data models, • Integrating data from multiple structured and unstructured sources, • Developing advanced analytics, machine learning and AI solutions where appropriate, • Building Generative AI solutions using large language models and prompt/context engineering, • Ensuring data quality, reliability, and performance through testing and monitoring, • Optimising data and model performance for scale and efficiency Required Experience & Skills • Proven experience in a Data Engineer, Data Developer, AI Engineer or similar role, • Strong programming skills in Python and SQL, • Experience building and maintaining data pipelines, • Exposure to cloud data platforms, data warehouses, or big data technologies, • Strong analytical and problem-solving skills, • Ability to communicate technical concepts to non-technical stakeholders Security & Compliance: • Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance Working Model: • Hybrid working with a Manchester or Newcastle base Why Apply? • Work on high-impact, enterprise-scale data and AI initiatives, • Gain exposure to a wide variety of industries and complex systems, • Be part of a collaborative, inclusive engineering culture, • Access structured career development, training and progression opportunities

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

Accelerant is seeking a Product Area Lead Architect to provide hands on, operational architectural leadership for our Insights, Analytics & Workflows product area. This role operates at a Principal level, influencing architecture and execution across multiple autonomous product teams. You will work closely with team architects, engineering managers, product managers, and Data Science teams to ensure teams move fast without fragmenting the architecture. This is not an ivory tower architecture role. It is highly collaborative, pragmatic, and operational, focused on identifying architectural gaps, managing dependencies, and enabling teams to execute confidently within a shared architectural framework. You will champion standards based architecture, leveraging web standards, open protocols, and industry conventions to build interoperable, accessible, and future proof systems. Key Responsibilities Operational Architectural Leadership • Ensure architectural alignment across product teams, partnering closely with team architects and engineering managers, • Proactively identify architectural gaps, technical debt, and quality risks; drive resolution through collaboration and influence, • Manage cross team technical dependencies to enable independent, parallel execution, • Translate architectural strategy into clear, actionable guidance that teams can apply sprint by sprint Cross Team Coordination & Alignment • Facilitate architectural discussions and resolve technical conflicts across teams through principled, pragmatic decision making, • Act as an escalation point for complex cross team technical challenges, • Ensure architectural decisions are clearly communicated, understood, and consistently applied Design and Innovation • Define and maintain architectural patterns across backend services, APIs, data platforms, and front end systems, • Design scalable, resilient systems for analytics, workflow orchestration, and intelligence features, • Guide decomposition of legacy systems into well defined services and domains, • Evaluate technologies and data stores, favoring open standards and long term maintainability, • Architect distributed systems with focus on reliability, fault tolerance, and scalability Standards & Governance • Establish API design standards ensuring consistency, discoverability, and ease of integration, • Define front end standards prioritizing web platform capabilities, progressive enhancement, and accessibility (WCAG), • Create governance frameworks that balance standardization with team autonomy, • Drive adoption of industry standards (OAuth2, OpenID Connect, OpenTelemetry, JSON:API) over proprietary alternatives Technical Leadership • Partner with engineering teams on design reviews, PR reviews, and implementation guidance, • Establish standards for cross cutting concerns: API versioning, auth, observability, error handling, and resiliency patterns, • Collaborate with platform and DevOps teams on containerization, CI/CD, and cloud native deployment, • Produce clear technical design documentation that drives alignment and knowledge sharing, • Mentor engineers and raise the overall architectural maturity of the organization GenAI, ML & AI Architecture • Architect customer facing GenAI features using LLMs, including RAG pipelines, prompt engineering frameworks, and conversational AI interfaces, • Define patterns for ML model integration: serving endpoints, API contracts, versioning, and health monitoring, • Partner with Data Science to translate models into production grade features with clear integration contracts and deployment workflows, • Establish standards for responsible AI, including evaluation criteria, privacy guardrails, and LLM output validation AI Transformation & Productivity Leadership • Scale AI driven development workflows across teams, ensuring engineers leverage AI coding tools effectively, • Guide team architects and coach senior engineers on using AI tools to enhance productivity and code quality, • Work hands on with teams to identify opportunities for AI to solve operational challenges and improve velocity Solution Evaluation & Quality Assurance • Evaluate and recommend technologies to enhance capabilities across analytics, workflow, and intelligence domains, • Ensure architectural integrity through code reviews, assessments, and continuous monitoring, • Proactively identify technical risks and devise strategies for reliability, security, and performance Technical Requirements Full Stack SaaS Architecture: • Strong proficiency in modern JavaScript/TypeScript and Node.js, • Deep knowledge of web platform fundamentals and browser native capabilities, • Experience designing and evolving well structured APIs for platform integrations Architectural & Systems Thinking: • Deep knowledge of architecture principles, design patterns, and distributed systems, • Proven ability to make pragmatic tradeoffs in complex, evolving systems, • Experience in cloud native environments, preferably AWS AI Enabled Engineering: • Demonstrated experience using AI coding tools (GitHub Copilot, Cursor, Claude, etc.), • Understanding of AI applications for development productivity and code quality improvement Qualifications • 8 to 12+ years in software engineering and architecture roles, • Proven experience operating across multiple agile teams in an architectural leadership capacity, • Track record of managing cross team dependencies and bridging architectural vision with day to day execution, • Proven ability to drive AI adoption and transformation within engineering organizations, • Excellent communication and facilitation skills with ability to align work across distributed teams, • Pragmatic, operational mindset with strong problem solving abilities, • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Job Title: Senior Network Security Engineer Location: Remote working, but with occasional meetups in London/Surrey This is a hands‑on role at an early-stage tech company that’s building an AI‑powered cybersecurity platform for small and mid‑sized businesses and the MSPs that serve them. The product combines a plug‑and‑protect network device, a mobile app and a unified portal to deliver enterprise-grade continuous network monitoring, automated vulnerability detection and AI-guided remediation. Their Software Engineers have built a lot already. Now they need a Network Specialist to evaluate it, test it, break it, fix it and help raise the security and reliability bar across the stack. If you enjoy picking up complex systems, understanding how they behave and making them better, you’ll fit in well. The role: This is a senior role in a small team so you will need to work hands-on in multiple areas of the tech stack, requiring a depth of core networking and security knowledge, ideally along with the ability to lead others as the team grows. You will be evaluating, rules checking, testing, security testing and troubleshooting multiple device resident backend and frontend systems. You will pick up these critical systems, evaluate them and help make them as functional, secure and reliable as possible. Their solution bundles the following cybersecurity tools: • On device: Network SYN scan detection; SMB Honeypot; Scheduled network scans via embedded nmap; Sinkhole DNS server with automated domain inspection pipeline., • Network Device fingerprinting, • LLM guardrails system, including AI/ML prompt poison detection, • Public IP address scanning leveraging automated VPN tunnels, • Web admin portal (React and Node.js), • Proprietary SNMPv3 agent (Golang) reporting Windows, Mac and Linux stats, • Small business website spider inspector to assess exposure details, • CVE ticket sub-system enriching the CVE with LLMs for summary and remedy playbook, • Small business associated domain monitoring for reputation / clone analysis You don’t need to be an expert in every one of these areas, but you should have knowledge and be comfortable working across this technical landscape. What you need to bring: • Strong understanding of CVEs and the surrounding ecosystem and tools, • Deep networking knowledge across TCP/IP, DNS, DHCP, routers, firewalls, VPNs, NAT, subnets etc, • Understanding of on‑prem and cloud infrastructure network security, • Scripting skills such as Python or Bash, • Experience in testing, troubleshooting and diagnosing operations of devices and hosts on networks • Penetration testing of APIs and network services, • Linux and Ubuntu networking experience, • Familiarity with network scanning tools such as nmap, • Knowledge of cybersec frameworks like MITRE It’s helpful (but not required) if you also know: • Website architecture and security, • Microsoft Windows networking, • Test tools / frameworks, • Software engineering and architecture, with a preference for any experience coding in Python/Django, C/C++ or similar • Comfortable using AI coding tools such as Claude Code Why this role matters You’ll be joining early enough to shape how the product evolves and how the engineering culture develops, along with meaningful stock options. There’s no bureaucracy and no layers of management. Just meaningful problems to solve, systems that need improving and a team that wants someone who can take the lead where it’s needed. If you prefer hands‑on engineering over slide decks and are comfortable working in a fast-paced, ambitious startup environment, this could be the right move for you.

As an AI Engineer at Avanade, you will design, build, and deliver advanced agentic AI solutions using the latest Microsoft technologies. Working directly with clients, you will help solve complex business problems by applying strong engineering practices, deep Microsoft platform expertise, and a pragmatic approach to delivering measurable outcomes. This is a hands-on, client-facing engineering role, combining AI engineering, solution design, and delivery excellence. You will work as part of multi-disciplinary teams to translate ambiguity into secure, scalable, and production-ready AI solutions. Role Responsibilities • Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value., • Design, develop, and deploy AI agents using the latest Microsoft technologies (including Microsoft Copilot Studio, Azure AI Foundry, and supporting Azure AI and Power Platform services)., • Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services., • Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards., • Participate in client workshops, technical discussions, and solution shaping sessions., • Support pre-sales activities when required through technical input, solution design, and proof-of-concept development., • Develop reusable assets, patterns, and accelerators that strengthen Avanade’s AI and automation capabilities., • Stay current with emerging Microsoft AI technologies and contribute to internal AI & Data communities of practice. Required Skills and Experience • Hands-on experience delivering solutions using Microsoft Copilot Studio., • Microsoft certifications in AI, Power Platform, or Azure (desirable)., • Awareness of governance, security, and responsible AI considerations in enterprise environments., • Experience working in consulting or professional services organisations., • Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management., • Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse)., • Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure. Preferred Skills and Experience • Ability to clearly communicate technical concepts to both technical and non-technical stakeholders., • Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions., • Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions., • Experience designing and delivering AI-driven or automation solutions in a client-facing environment., • Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design. Enjoy your career Some of the best things about working at Avanade • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Access to global Data & AI communities, accelerators, and subject‑matter experts, • The chance to work on complex, high‑impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: Interested in knowing what’s going on inside Avanade? Check out our blogs:

Subcontract / Self‑Employed Electrician (Part‑Time, Ongoing Projects) Location: Market Harborough + up to 1‑hour travel radius Engagement: Subcontract / Self‑Employed Flexible commitment: 1–2 days per week (project‑based) Some evening and weekend work required depending on customer operations The Opportunity An established and growing Mechanical & Electrical Engineering business is expanding its subcontractor network due to a strong pipeline of ongoing work across domestic and commercial projects, including EV charging, solar PV, and battery storage. We’re looking to build a long‑term relationship with a reliable, professional electrician who takes pride in their workmanship and represents clients to a high standard. This role is ideal for a self‑employed or subcontract electrician seeking consistent, well‑paid work without the burden of client acquisition. Scope of Work You’ll support a range of projects including: • Domestic & commercial electrical installation, maintenance, and repairs, • Inspection, testing, and certification (BS7671 compliant), • EV charger installations and maintenance, • Solar PV and battery storage installations (advantageous), • Fault‑finding and troubleshooting, • Ensuring safe, compliant, and high‑quality work at all times Requirements Essential: • Level 3 Diploma in Electrical Installation, • 2391‑52 (or equivalent) – Inspection & Testing, • Strong working knowledge of BS7671, • Proven experience across domestic and commercial work, • Ability to work independently on site, • Full UK driving license, • 3+ years’ experience within electrical / electrical manufacturing / electronics environments, • Comfortable working in an onsite setting Desirable: • EV charger installation experience, • Solar PV / battery storage exposure, • AM2 qualification, • NICEIC or NAPIT registration What’s On Offer: • Reliable, repeat work as projects grow, • Flexible scheduling around your existing commitments, • Prompt, straightforward payment, • Clear communication and organized projects, • Professional, long‑term subcontract relationship

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Customer Success Engineer Company: Abacus.AI Location: Remote / (US EST Timezone) Type: Full-time About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, DeepAgent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources. Role Overview: We’re looking for a Senior Customer Success Engineer (5+ years experience) to serve as the primary technical advocate and strategic partner for our enterprise customers. In this role, you will be responsible for the long-term health of the account, ensuring that our AI solutions are successfully integrated into the customer’s daily workflows and continue to deliver high-level business value. Key Responsibilities: • Lead Executive & Technical QBRs: Drive Quarterly Business Reviews to showcase ROI, review usage metrics, and align our product roadmap with the customer’s evolving business goals., • Drive Super Assistant Rollout: Act as the strategic lead for deploying our Super Assistant across customer teams, providing hands-on guidance on best practices, user enablement, and change management to ensure broad adoption., • Proactive Health & Issue Monitoring: Continuously monitor account health to identify ongoing technical friction or blockers; collaborate with our internal Data Science and Support teams to resolve issues before they impact the customer experience., • Technical Bridge & Orchestration: Serve as the high-level technical point of contact who translates customer needs into actionable tasks for our DS team, ensuring that the actual technical execution remains aligned with the customer's strategic vision., • Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform. Required Qualifications: • Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer., • Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment., • Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment., • Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI "Super Assistant") within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs. What We Offer: • Competitive salary and equity package, • Opportunity to work with cutting-edge AI technology, • Collaborative and innovative work environment, • Professional development and learning opportunities

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more. We have raised over $4M from leading tech investors in addition to being awarded Innovate UK Grants. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. 🔧 What You'll Do We’re hiring a mid-senior (4+ years experience) AI Engineer to help design, build, and scale our production AI systems with ownership from design to deployment. You’ll work end-to-end across Agentic RAG conversational agents, Agent orchestration, fine-tuning models, retrieval pipelines, evaluation frameworks and generating product recommendation for real customer interactions to deliver reliable AI-powered experiences in production. • Design, build, and deploy Agentic AI workflows and RAG-powered applications for real-world use cases, • Develop scalable backend services and APIs powering AI agents and conversational systems, • Build and optimise retrieval pipelines including embeddings, chunking, reranking, memory and vector search, • Collaborate closely with product, design, and engineering teams to shape AI-first experiences, • Integrate LLM systems into user-facing web applications and product features, • Improve response quality, reliability, latency, observability and cost efficiency of production AI systems, • Evaluate new AI frameworks, tools, and orchestration approaches across the rapidly evolving LLM ecosystem, • Influence architecture decisions for scalable, secure, and production-ready AI infrastructure ✅ What We're Looking For Must-Haves: • Bachelor’s degree in Computer Science, Artificial Intelligence, Engineering, or equivalent practical experience, • 4+ years experience building and deploying production AI applications, • 2+ years experience developing LLM-powered products, conversational AI, RAG systems, or agentic workflows, • Strong Python skills and experience building backend systems and APIs, • Hands on experience building agentic workflows, tool-calling pipelines, and stateful orchestration using frameworks such as LangGraph, LangChain, LlamaIndex, AutoGen, CrewAI or similar agent orchestration frameworks, • Strong experience designing and optimising retrieval systems, including vector stores (Pinecone, Weaviate, Chroma), graph-based RAG architectures, hybrid retrieval, reranking, and semantic search pipelines, • Experience with production optimisation for RAG systems, including latency optimisation, token cost control, context management, monitoring, guardrails and prompt versioning, • Exposure to AIOps/MLOps practices and hands-on experience with AWS Bedrock, SageMaker, Vertex AI, or similar cloud AI platforms, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing or related field, • Experience with LLM fine-tuning techniques such as LoRA, QLoRA, supervised fine-tuning (SFT), instruction tuning, and parameter-efficient model adaptation workflows, • Experience with evaluation and monitoring frameworks for LLM systems, including RAGAS, OpenEvals, DeepEval, LangSmith, OpenTelemetry or LLM-as-a-Judge evaluation frameworks, • Familiarity with graph databases such as Neo4j or Amazon Neptune, • Experience with recommendation systems, personalisation pipelines or ranking systems, • Experience building modern web applications using Django, FastAPI, React, or similar frameworks, • Comfortable using Docker and containerised development workflows, • Exposure to CI/CD pipelines, infrastructure-as-code, and cloud-native deployment practices 🌱 What We Offer • Competitive compensation (based on experience), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

AI Engineer Liverpool (Hybrid - 2 days per week in office) Basic salary circa £75k This AI Engineer position sits within a forward-thinking technology team focused on using AI and automation to improve efficiency, quality, and user experience across the organisation. As an AI Engineer, you'll focus on designing and implementing AI-first workflows, building intelligent agents, and integrating them into core business systems. The work is varied - ranging from generative AI use cases through to workflow automation and system integration - always with a focus on delivering measurable outcomes. You'll operate as an AI Engineer who can take ideas from concept through to production, working across stakeholders, data, and systems to deliver solutions that are both technically sound and commercially valuable. AI Engineer - Key Requirements: • Experience developing and deploying AI-powered workflows or intelligent automation, • Hands-on exposure to tools such as Azure OpenAI, Copilot Studio, or similar platforms, • Understanding of generative AI approaches, including prompt engineering and RAG, • Experience integrating enterprise systems via APIs and connectors, • Familiarity with Power Platform (Power Automate, Power Apps), • Awareness of governance, security, and data protection considerations, • Strong proble...

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

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A minimum of a good Bachelors Degree in Software Engineering, Electronics, Computer Science or similar discipline.

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