ai engineer

Avanade

<div>
 
 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
 
 
 <ul>
 <li>
 Collaborate with clients to understand business challenges and identify opportunities where agentic AI can drive meaningful value.
 </li>
 <li>
 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).
 </li>
 <li>
 Integrate AI solutions with enterprise systems, data sources, and workflows using Microsoft Power Platform and Azure services.
 </li>
 <li>
 Contribute to solution and technical design, ensuring alignment with security, governance, scalability, and operational standards.
 </li>
 <li>
 Participate in client workshops, technical discussions, and solution shaping sessions.
 </li>
 <li>
 Support pre-sales activities when required through technical input, solution design, and proof-of-concept development.
 </li>
 <li>
 Develop reusable assets, patterns, and accelerators that strengthen Avanade&rsquo;s AI and automation capabilities.
 </li>
 <li>
 Stay current with emerging Microsoft AI technologies and contribute to internal AI &amp; Data communities of practice.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Experience
 
 
 <ul>
 <li>
 Hands-on experience delivering solutions using Microsoft Copilot Studio.
 </li>
 <li>
 Microsoft certifications in AI, Power Platform, or Azure (desirable).
 </li>
 <li>
 Awareness of governance, security, and responsible AI considerations in enterprise environments.
 </li>
 <li>
 Experience working in consulting or professional services organisations.
 </li>
 <li>
 Familiarity with Azure services commonly used in AI solutions, such as Azure OpenAI, Functions, Logic Apps, and API Management.
 </li>
 <li>
 Experience with Microsoft Power Platform (Power Automate, Power Apps, Dataverse).
 </li>
 <li>
 Experience working with Azure AI Foundry or equivalent AI development capabilities on Azure.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills and Experience
 
 
 <ul>
 <li>
 Ability to clearly communicate technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Strong engineering mindset with the ability to build, test, deploy, and support production-grade solutions.
 </li>
 <li>
 Understanding of agentic AI concepts, orchestration patterns, and multi-agent solutions.
 </li>
 <li>
 Experience designing and delivering AI-driven or automation solutions in a client-facing environment.
 </li>
 <li>
 Strong expertise in prompt engineering, including optimisation, testing, evaluation, and guardrail design.
 </li>
 </ul>
 
 
 
 
 
 Enjoy your career
 
 
 
 Some of the best things about working at Avanade
 
 <ul>
 <li>
 Opportunity to work for
 
 Microsoft&rsquo;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)
 </li>
 <li>
 Access to global
 
 Data &amp; AI communities
 
 , accelerators, and subject‑matter experts
 </li>
 <li>
 The chance to work on complex, high‑impact initiatives across
 
 data governance, analytics, and AI
 
 </li>
 <li>
 Clear and supported career progression across Consultant and Senior Consultant levels
 </li>
 </ul>
 
 
 
 
 Find out more about some of our benefits here.
 
 
 
 
 
 
 A great place to work
 
 
 
 As you bring your skills and abilities to Avanade, you&rsquo;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&rsquo;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&rsquo;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 Inclusion &amp; Diversity page.
 
 
 
 
 
 Create a future for our people that focuses on
 
 
 &bull; Expanding your thinking &bull; Experimenting courageously &bull; Learning and pivoting
 
 
 
 
 
 Inspire greatness in our people by
 
 
 &bull; Empowering every voice &bull; Encouraging boldness &bull; Celebrating progress
 
 
 
 
 
 Accelerate the impact of our people by
 
 
 &bull; Amazing the client &bull; Prioritizing what matters &bull; Acting as one
 
 
 
 
 
 
 Learn more
 
 
 
 To learn more about the types of projects our Data Engineering team works on check out these case studies:
 
 <ul>
 <li>
 thyssenkrupp Materials Services uses data to help strike a delicate operational balance
 </li>
 <li>
 What matters to SSE Renewables is innovating for a sustainable future
 </li>
 </ul>
 
 
 
 
 Interested in knowing what&rsquo;s going on inside Avanade? Check out our blogs:
 
 <ul>
 <li>
 Avanade Insights &ndash; exchange ideas that drive tomorrow&rsquo;s innovation
 </li>
 <li>
 Inside Avanade &ndash; explore what life is like working at Avanade
 </li>
 </ul>
</div>

AI Engineer

Complexio

<div>Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate &mdash; across people, processes, and systems.
Enterprises have invested heavily in AI platforms, copilots, and data infrastructure &mdash; yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap.
Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works &mdash; every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. 
Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on &mdash; turning organisational knowledge into measurable business outcomes. 
A joint venture between Hafnia and S&iacute;mbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries.
As a Senior AI Engineer with broad expertise, you will be a vital part of our team, developing innovative applications that leverage AI capabilities to enhance user experiences and streamline communication. You will work alongside a talented team of Data Scientists, DevOps, Product Managers, Business Analysts experts and play a key role in designing and implementing specialised AI assistant technology. 
Requirements 
You have<ul><li>
Excellent problem-solving and technical skills.</li><li>
Strong communication and collaboration skills, with the ability to work in a team.</li><li>
Interest and experience in working on early-stage software and a wide range of tasks.</li><li>
Proven experience using technology and how it helped you build a lasting product.</li></ul>
Key Responsibilities<ul><li>
Collaborate with cross-functional teams to develop key features and applications, including product managers, designers, and other engineers.</li><li>
Design, develop, and maintain both front-end and back-end components of web applications, ensuring a seamless user experience.</li><li>
Benchmark, analyze, and optimize web applications for scalability, security, and responsiveness.</li><li>
Troubleshoot and resolve software defects and issues, ensuring high software quality.</li><li>
Participate in code reviews, documentation, and the development of coding standards.</li></ul>
Requirements<ul><li>
Preferred M.Sc or Ph.d degree in Computer Science or a related field.</li><li>
7+ years of experience in Software development</li><li>
Work experience using both compiled languages (Rust, Ocaml, Golang, Java, C#) or dynamic languages (Javascript, Python, Ruby)</li><li>
Experience building web applications or desktop applications technologies such as Electron, tauri, React, Vue.js</li><li>
Familiarity with CI/CD principles and technologies, including experience with GitHub Actions or similar.</li><li>
Experience working with Relational and NoSQL databases such as Postgres, Redis, Neo4j, Milviousor MongoDB, and a good understanding of data consistency tradeoffs.</li><li>
Proven Knowledge of cloud platforms (e.g., AWS, Azure, or GCP).</li></ul> 

Benefits 
<ul><li>
Experience with graph databases such as neo4js, pinecone or milvious or similar.</li><li>
Experience building native desktop apps.</li><li>
Experience with NLP libraries and frameworks, such as spaCy, or Transformers.</li><li>
Familiarity with machine learning concepts and the ability to work with NLP datase</li></ul></div>

Xelix

<div>
 
 About Us
 
 
 
 At Xelix, we work with some of the world&rsquo;s largest companies to automate and strengthen their financial controls. Our AI solutions redefine how Accounts Payable teams operate &ndash; moving from manual processes to automated, intelligent workflows.
 
 
 Xelix is a fast-paced scale-up &ndash; things move fast and expectations are high. We raised our Series B with Insight Partners in June 2025 and are expanding aggressively. We have a team
 
 150
 
 talented people pulling together to achieve our goals. Everyone is trusted to take ownership, move fast and have a meaningful impact. We prioritise personal and professional growth, keep things fun, and love to celebrate a milestone together.
 
 
 In this role you&rsquo;ll grow, be challenged and help shape the future of Xelix. If you&rsquo;re excited about building something special with us, we&rsquo;d love to hear from you.
 
 
 
 About The Role
 
 
 
 We are hiring an AI Engineer to join our growing AI Engineering team. You&rsquo;ll design and build production AI systems &mdash; combining machine learning, large language models, and strong engineering &mdash; to solve real problems across documents, email, and financial data.
 
 
 We focus on building systems that work reliably in production, not just prototypes. We use modern AI tools extensively in our workflow, enabling engineers to operate at a higher level &mdash; focusing on system design, product thinking, and solving complex problems.
 
 
 
 What You'll Be Doing
 
 
 
 <ul>
 <li>
 AI Systems &amp; Agents: design and build production AI systems &mdash; including agent-based workflows, tool use, and multi-step reasoning.
 </li>
 <li>
 Model Development &amp; Adaptation: develop and improve models across text, vision, and structured data, including fine-tuning and hybrid ML + LLM approaches.
 </li>
 <li>
 LLM Platform Work: work with hosted and self-hosted models, contributing to decisions around model selection, performance, and cost.
 </li>
 <li>
 Production Engineering: write clean, maintainable Python and contribute to scalable, observable systems.
 </li>
 <li>
 Evaluation &amp; Iteration: design evals, measure performance rigorously, and improve systems using real-world feedback.
 </li>
 <li>
 AI-Assisted Development: use modern AI coding tools to move faster while maintaining high standards.
 </li>
 <li>
 Collaboration: work closely with product and engineering teams to deliver high-impact features.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Experience: 2&ndash;5 years building and shipping ML or AI-powered systems into production.
 </li>
 <li>
 Strong Engineering Skills: clean, testable Python; solid software design; experience working in production environments.
 </li>
 <li>
 AI/ML Breadth: experience with either traditional ML (e.g. gradient boosting) and/or LLM systems (prompting, tool use, evals, agents).
 </li>
 <li>
 Systems Thinking: ability to reason about trade-offs (accuracy, latency, cost, reliability) and design accordingly.
 </li>
 <li>
 Data Skills: SQL, pandas, and experience working with messy real-world data.
 </li>
 <li>
 AI-Native Workflow: comfortable using AI-assisted coding tools effectively.
 </li>
 <li>
 Curiosity &amp; Ownership: proactive in exploring new approaches and improving existing systems.
 </li>
 <li>
 Collaboration: strong cross-functional working style.
 
 
 </li>
 </ul>
 
 What We Offer In Return
 
 
 
 💰 Competitive salary of &pound;65,000 to &pound;75,000 depending on experience
 
 
 🏝️ 27 days of annual leave (including 3 days Christmas closing) which increases up to 3 days based on tenure, with the option to roll over, buy or sell up to 3 days
 
 
 🏡 Hybrid working with two days a week from our dog-friendly Hoxton office
 
 
 💪 On-site gym and cycle to work scheme
 
 
 🛍️ Employee discount at over 100 retailers
 
 
 🏥 Comprehensive private medical &amp; dental cover with Vitality
 
 
 🍼 Enhanced parental leave pay
 
 
 📚 Learning &amp; development culture &ndash; &pound;1,000 personal annual budget
 
 
 🌍 We&rsquo;re carbon-neutral and are working towards ambitious carbon reduction goals
 
 
 🎯 Lots of team socials &amp; activities
 
 
 ☀️ Annual team retreat
 
 
 
 Want to learn more?
 
 
 
 <ul>
 <li>
 About us
 </li>
 <li>
 Xelix blog
 </li>
 <li>
 Xelix news
 </li>
 <li>
 Xelix glassdoor
 
 
 </li>
 </ul>
 We believe that people from diverse backgrounds, with different identities and experiences make our company and product better. No matter your background, we'd love to hear from you! And if you have a disability, please let us know if there's any way we can make the interview process better for you - we're happy to accommodate!
 
 
 If you're a recruiting agency - we have an existing list of agencies we work with if required and we are not currently planning on expanding the list. Neither the Talent team nor hiring managers or the Support team will respond to cold outreach.
 
 
 This is a full-time position, with standard working hours from 9:00 AM to 6:00 PM, Monday through Friday.
 
 
 
 Interview Process
 
 
 
 While the exact process may vary slightly depending on the role, our typical interview stages are:
 
 
 <ul>
 <li>
 Introductory Call &ndash; A short Teams conversation with a Talent Partner to discuss your background and the opportunity.
 </li>
 <li>
 Hiring Manager Interview &ndash; A 30&ndash;45 minute Teams meeting to explore your experience and fit for the team.
 </li>
 <li>
 Technical Task or Presentation &ndash; A role-relevant exercise to demonstrate your skills and approach.
 </li>
 <li>
 Final On-site Interview &ndash; An in-person meeting with our senior leadership team and co-founders at our office.
 
 
 </li>
 </ul>
 We strive to make the process clear, efficient, and respectful of your time.
</div>

Miro

<div>
 
 About The Team
 
 
 
 Miro is on a mission to empower teams to create the next big thing, and our teams are at the forefront of making that vision a reality. Our teams drive AI-powered innovation across Miro's platform by building robust technical foundations, delightful product features, and intelligent capabilities that transform how users interact with content on the canvas. Whether developing structured widget capabilities that help users visualize and interact with complex information, building AI platform infrastructure, or creating intelligent features that anticipate user needs, our work is foundational to Miro's evolution.
 
 
 
 About The Role
 
 
 
 As an AI Engineer, you'll design and build AI-driven capabilities that enhance how users create, transform, and collaborate on canvas. You'll bridge AI innovation and product delivery - shipping delightful, safe, and reliable experiences that leverage cutting-edge LLMs while maintaining the performance and polish users expect from Miro's collaborative canvas.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Design, develop, and ship AI-driven capabilities&mdash;including agents, intelligent assistants, context-aware prediction, and generative AI&mdash;using Python, top-tier LLMs, TypeScript, React, Canvas, and WebGL
 </li>
 <li>
 Engineer high-performing AI workflows leveraging LLMs (OpenAI, Anthropic Claude, Google Gemini), prompt engineering, and generative techniques&mdash;ensuring reliability, scalability, and maintainability
 </li>
 <li>
 Execute end-to-end AI projects from conceptualization and prototyping to production code, collaborating closely with product managers, designers, and engineers
 </li>
 <li>
 Experiment and iterate on AI capabilities within your team domain, staying ahead of emerging AI tools, frameworks, and techniques
 </li>
 <li>
 Champion best practices in AI system development&mdash;including evaluations, LLMOps, CI/CD, observability, and ethical AI principles
 </li>
 <li>
 Measure and optimize AI performance, establishing benchmarks for user engagement, model accuracy, latency, error rate, and drift
 </li>
 <li>
 Write clean, well-tested, maintainable code, participating in code reviews and&reg; technical discussions across the stream
 </li>
 <li>
 Troubleshoot and resolve production issues, ensuring high availability and performance
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 3+ years of professional experience with a proven track record delivering AI-first capabilities in customer-facing products&mdash;driving value through features users directly interact with
 </li>
 <li>
 Excellent communication skills, able to translate complex technical concepts for non-technical stakeholders
 </li>
 <li>
 Strong Python skills and familiarity with FE technologies (e.g. Typescript, React etc)
 </li>
 <li>
 Demonstrated expertise in prompt engineering and context engineering using top-tier LLMs (OpenAI GPT, Anthropic Claude, Google Gemini)
 </li>
 <li>
 Ability to develop high-quality, production-ready code within complex codebases
 </li>
 <li>
 Experience with LLM evaluation frameworks and a track record of building evals that meaningfully inform model selection, prompt iteration, or feature quality.
 </li>
 <li>
 Solid understanding of ML fundamentals, including probabilistic modeling, evaluation techniques, and deep neural networks
 </li>
 <li>
 Experience with LLMOps and cloud services (AWS, Azure, Amazon Bedrock, etc.)
 </li>
 <li>
 AI-First Proficiency. We&rsquo;re building for an AI-first future, and we&rsquo;re looking for graduates who aren&rsquo;t just using AI&mdash;they&rsquo;re mastering it. We&rsquo;re excited to meet early-career engineers who have moved beyond simple chat prompts and have truly integrated AI into their development flow. Whether it&rsquo;s using AI agents for autonomous debugging, analyzing logs, or rapidly prototyping and shipping features to production, we value the ability to "pilot" these tools to deliver high-quality code at an ambitious pace.
 </li>
 <li>
 Nice-to-have: Experience with rendering technologies like WebGL, Canvas API, or 2D graphics libraries (PixiJS, Skia)
 </li>
 <li>
 Nice-to-have: Real-time technologies experience (WebSocket)
 </li>
 <li>
 Nice-to-have: Vector databases, RAG pipelines, LangChain, or agent frameworks
 </li>
 <li>
 Nice-to-have: Multi-modal AI or long-context handling
 </li>
 <li>
 Nice-to-have: ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers
 
 
 </li>
 </ul>
 
 What's In It For You
 
 
 
 We want you to feel supported, connected, and ready to grow. Our global benefits package generally includes equity, a wellbeing benefit, a WFH equipment allowance, and an annual Learning &amp; Development stipend. Join a diverse team where you can do your best work. Full benefits may differ per location. If you would like to learn more about location-specific benefits, please refer to our Global Miro benefits board.
 
 
 
 Recruiter
 
 
 
 
 About Miro
 
 
 
 Miro is a visual workspace for innovation that enables distributed teams of any size to build the next big thing. The platform's infinite canvas enables teams to lead engaging workshops and meetings, design products, brainstorm ideas, and more. Miro, co-headquartered in San Francisco and Amsterdam, serves more than 100M users and 250,000 companies collaborate in the Innovation Workspace. Miro was founded in 2011 and currently has more than 1,600 employees in 13 hubs around the world.
 
 
 We are a team of dreamers. We look for individuals who dream big, work hard, and above all stay humble. Collaboration is at the heart of what we do and through our work together we hope to create a supportive, welcoming, and innovative environment. We strive to play as a team to win the world and create a better version of ourselves every day. If this sounds like something that excites you, we want to hear from you!
 
 
 
 Check Out More About Life At Miro
 
 
 
 <ul>
 <li>
 Youtube: https://www.youtube.com/@lifeatmiro
 </li>
 <li>
 Blog: https://miro.com/careers/life-at-miro/all/
 </li>
 <li>
 Instagram: https://www.instagram.com/mirohq/
 
 
 </li>
 </ul>
 At Miro, we strive to create and foster an environment of belonging and collaboration across cultural differences. Miro&rsquo;s mission &mdash;
 
 Empower teams to create the next big thing
 
 &mdash; is how we think about our product, people, and culture. We believe that creating big things requires diverse and inclusive teams.
 
 Diversity
 
 invites all talent with different demography, identities and styles
 
 to step in
 
 , and
 
 inclusion
 
 invites them to step
 
 closer together.
 
 Every day, we are working to build a more diverse Miro, cultivate a sense of belonging for future and current Mironeers around the world, and foster an environment where everyone can collaborate and embrace differences.
 
 
 
 
 Miro handles and uses personal data of job applicants in line with its Recruitment Privacy Policy found here.
 
 
</div>

SQLI

<div>
 
 We Elevate. Digitally.
 
 
 
 
 SQLI is a European leader in digital transformation and customer experience, helping major international brands drive growth through technology. From strategy to implementation, we design and deliver high-performance architectures and engaging digital experiences by combining advanced technologies, proven methodologies, and deep technical expertise.
 
 
 
 
 With 2,200 people across 12 countries, we&rsquo;re looking for passionate individuals who share our values: Creative Spirit, Commitment, and Forward Thinking.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 
 About the role
 
 
 
 
 
 
 The AI Engineer is the build engine of our AI practice. You turn business requirements into working AI solutions, fast, using coding agents and frontier models, then take the ones that prove their worth into production with the security, compliance, and reliability that enterprise clients demand.
 
 
 
 
 This is not a model-training role. We are not building or fine-tuning models from scratch. You build agentic workflows and LLM-powered applications on top of frontier models, wire them into real enterprise systems, and make them safe to run.
 
 
 
 
 You will work as part of the delivery team alongside consultants, business analysts, and architects. The consultant carries the client relationship and the architect owns the hard architectural calls. You own the build and you make real engineering decisions, not just execute someone else&rsquo;s spec. You are proactive about spotting better ways to build, and trusted to deliver without close supervision.
 
 
 
 
 
 
 What you will do
 
 
 
 
 
 <ul>
 <li>
 
 Use coding agents to prototype AI solutions quickly against real client requirements, so the team can validate value before committing to a full build
 
 
 
 </li>
 <li>
 
 Build, deploy, and maintain LLM-powered applications and agents that align with enterprise architecture principles and standards, with evaluation, monitoring, and token tracking in place from day one
 
 
 
 </li>
 <li>
 
 Set up MCP connectors and permissions against client systems, taking real care over data handling, access control, and what an agent is and is not allowed to do
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Build production solutions that meet client security requirements and European data protection obligations, including GDPR. This is not optional and not an afterthought
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Collaborate with consultants, business analysts, and architects to break business requirements down into solutions that are feasible, maintainable, and safe
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Create reusable AI assets and accelerators for the practice, including skills, plugins, and MCP servers that make future engagements faster
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Support Data &amp; AI teams with best practices around AI-assisted development, documentation, and automation, and coach less experienced colleagues on agentic build patterns and security standards
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Document deployment, upgrade paths, and maintenance so SQLI and our clients can own what you build after handover
 
 
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Proven experience with AI-assisted development. You have shipped something real with Claude or another agent platform, not just followed tutorials
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong TypeScript and/or Python for agentic glue code, custom MCP work, and evaluation
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience building RAG applications
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Hands-on with creating and using agent plugins, skills, and MCP servers for repeatable agentic workflows
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Skilled at engineering the prompts and context that let agents do work as autonomously as is safe and sensible
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Solid grasp of security, access control, and data protection (including GDPR) when building systems that act against real client data with real permissions
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience setting up CI/CD pipelines and automation
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Able to take a prototype through to a production-grade build, not just one or the other
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Strong collaboration and communication skills, ideally from an agency or consulting setting
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proactive and autonomous, able to spot opportunities, make sound engineering decisions, and own delivery rather than wait to be told how to build
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Business-level English, able to understand business requirements directly from clients and communicate clearly in calls and in writing
 
 
 
 </li>
 </ul>
 
 
 
 Nice to have
 
 
 
 
 
 <ul>
 <li>
 
 Familiar with Microsoft Azure, particularly Azure AI infrastructure, as our primary cloud for production AI
 
 
 
 </li>
 <li>
 
 Hands-on with Anthropic&rsquo;s managed agent infrastructure (Claude managed agents, the agents API)
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Prior work on evaluation methods for LLM outputs
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience in e-commerce, or from an AI, agentic, or workflow automation background
 
 
 
 </li>
 </ul>
 <ul>
 <li>
 
 Comfortable presenting technical work and learnings to a non-engineering audience
 
 
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 
 
 How we will work together
 
 
 
 
 
 
 You will report into the Data &amp; AI service line leadership and work as part of client delivery teams across the service line and the wider SQLI group. The role is primarily billable client work. You will occasionally join client sessions for technical depth, but the consultant carries the relationship. We are looking for someone who can own technical decisions on the build, not only execute, with room to grow toward an AI Architect track as the practice scales.
 
 
 
 
 
 
 How to apply
 
 
 
 
 
 
 Send a short note covering:
 
 
 
 <ol>
 <li>
 
 One thing you have built recently with Claude Code or a Claude-based agent, with a link if possible
 
 
 
 </li>
 </ol>
 <ol>
 <li>
 
 How you would take an agent that touches real client systems from a quick prototype to something safe to run in production
 
 
 
 </li>
 </ol>
 <ol>
 <li>
 
 Your notice period and earliest start date
 
 
 
 </li>
 </ol>
 
 
 Why you&rsquo;ll love working at SQLI?
 
 
 
 
 <ul>
 <li>
 A flexible remote working policy: 3 days per week
 </li>
 <li>
 Continuous learning opportunities and certifications to support your development
 </li>
 <li>
 Personalised support: career follow-up, diverse projects, and strong team collaboration
 </li>
 <li>
 Regular rituals: internal communications on tech and AI topics, internal events, and meet-ups
 </li>
 </ul>
</div>

Pacific Life

<div>Job Title
AI Engineer
Job Description
Role Summary
Designs, builds, and pilots AI‑enabled solutions that support PL Re business teams through experimentation, rapid prototyping, and value‑led innovation. Operating within the Business &amp; AI team, the role translates business problems into secure, scalable, cloud‑hosted AI solutions suitable for a regulated reinsurance environment. 
The role combines hands‑on AI and full‑stack development with strong engineering judgement, ensuring alignment with PL Re engineering standards, enterprise architecture, and security controls. A key focus is maintaining awareness of emerging AI technologies and applying relevant advances pragmatically.
The role works closely with the Global Experience Analysis (Global EA) engineering team to accelerate AI adoption while ensuring solutions can transition from experimentation into enterprise platforms where appropriate.
Key Responsibilities
AI Solution Design &amp; Delivery<ul><li>
Design, build, and pilot AI‑enabled solutions that address PL Re business problems through experimentation and rapid prototyping.</li><li>
Translate business use cases into secure, scalable, cloud‑hosted AI solutions aligned to enterprise standards.</li><li>
Deliver hands‑on full‑stack and AI development, producing solutions capable of transition into strategic or BAU platforms where appropriate.</li><li>
Design prototypes with explicit consideration for scalability, operability, data governance, and integration pathways if progressed beyond pilot.</li></ul>
AI Research &amp; Innovation<ul><li>
Research, evaluate, and stay current with emerging AI approaches, tools, and techniques.</li><li>
Assess the relevance and applicability of new AI capabilities within a regulated reinsurance environment.</li><li>
Apply insights from research to inform experimentation, solution design, and technical direction.</li><li>
Engineering Excellence &amp; Governance Alignment</li><li>
Ensure adherence to PL Technology engineering standards, architecture principles, and security controls.</li><li>
Partner with Enterprise Architecture and Information Security to meet governance and regulatory expectations.</li><li>
Ensure solutions respect data principles including ownership, lineage, residency, and PII handling.</li><li>
Apply approved integration patterns when accessing platforms, data products, or external services.</li></ul>
Collaboration &amp; Knowledge Sharing<ul><li>
Work alongside the Global Experience Analysis (Global EA) engineering team, sharing cloud and AI engineering insights, patterns, and lessons learned.</li><li>
Act as a bridge between Business &amp; AI experimentation and wider PL Re technology capabilities to accelerate AI adoption consistently across the organisation.</li></ul>
Architecture &amp; Platform Alignment<ul><li>
Contribute to solution architecture designs, including high‑level logical and cloud architectures, for AI use cases progressing beyond experimentation.</li><li>
Align AI solutions with Architecture Governance, PL Re target architectures, approved platforms, integration patterns, and data architecture principles.</li><li>
Identify architectural impacts, dependencies, and technical debt risks arising from AI experimentation.</li></ul>
Skills &amp; Experience 
Essential<ul><li>
Demonstrable experience designing, building, and piloting AI‑enabled solutions, including rapid prototyping and experimentation in partnership with business stakeholders.</li><li>
Strong hands‑on development experience (Python, APIs, modern application architectures).</li><li>
Experience translating business problems into practical, secure, and scalable technical solutions aligned to enterprise standards.</li><li>
Ability to translate business problems into secure, scalable enterprise‑aligned solutions.</li><li>
Experience evaluating and applying AI technologies within regulated or risk‑aware environments.</li><li>
Strong engineering judgement, balancing innovation with operational readiness and control.</li></ul> 
Skills &amp; Experience &ndash; Desirable<ul><li>
Experience with AI, data, and analytics platforms on AWS or Azure, including managed AI or foundation model services.</li><li>
Exposure to actuarial, underwriting, pricing, analytics, or adjacent insurance technology environments.</li><li>
Familiarity with DevOps / DevSecOps practices, including CI/CD pipelines in enterprise settings.</li><li>
Understanding of enterprise architecture principles, target architectures, and design governance processes in large, regulated organisations.</li><li>
Exposure to AI and developer tooling such as OpenAI, AWS Bedrock, Claude, Llama, Azure AI Foundry, Copilot Studio, GitHub Copilot, or similar ecosystems.</li></ul>
Behavioural Competencies<ul><li>
Strong ownership and accountability for delivery outcomes.</li><li>
Clear, confident communication with both technical and non‑technical stakeholders.</li><li>
Ability to lead through influence, setting technical direction and standards without formal authority.</li><li>
Risk‑aware, quality‑driven mindset suited to a regulated financial services environment.</li></ul>
Working For Pacific Life Re
Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes.
Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.
Benefits (Only for Permanent and Fixed Term Employees)
Leave
<ul><li>25 days of annual leave with option to buy/sell more days</li><li>
Adoption and fertility leave</li><li>
Generous enhanced parental leave</li></ul>
Healthcare<ul><li>
Comprehensive private insurance coverage for employee and dependents</li><li>
Group Life Insurance coverage of 9x basic annual salary and Group Income Protection up to 75% of basic annual salary</li><li>
Optical benefits</li></ul>
Savings &amp; Retirement<ul><li>
15% combined employee/employer contributions</li></ul>
Wellness<ul><li>
Subsidized gym membership</li><li>
Access to Employee Assistance Program</li><li>
Cycle to Work and Electric Car Salary Sacrifice Scheme</li><li>
Time off for volunteering</li><li>
Charitable matching of employee donations</li></ul>
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential.
﻿As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Pacific Life Re Values
Please click here to view our company values</div>

Fuse Energy

<div>
 Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $210M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more.
 
 
 We're creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers.
 
 
 But we're not stopping there. We're also building the Energy Network: a decentralised platform of smart devices to electrify our homes, shifting usage to off-peak hours and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries.
 
 
 We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup)
 </li>
 <li>
 Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows
 </li>
 <li>
 Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms
 </li>
 <li>
 Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing
 </li>
 <li>
 Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts
 </li>
 <li>
 Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space
 </li>
 <li>
 Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Minimum 3 years of engineering experience
 </li>
 <li>
 Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning
 </li>
 <li>
 Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.)
 </li>
 <li>
 Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production
 </li>
 <li>
 Solid understanding of cloud technologies, containerisation and building scalable AI applications
 </li>
 <li>
 Ability to integrate AI/ML models into real-world applications, focusing on usability and performance
 </li>
 <li>
 Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment
 </li>
 <li>
 Experience working with large datasets, particularly in relation to demand and supply forecasting
 
 
 </li>
 </ul>
 
 Bonus
 
 
 
 <ul>
 <li>
 Experience or strong interest in energy markets and trading strategies
 </li>
 <li>
 Understanding of weather forecasting, energy demand patterns, and production modelling
 </li>
 <li>
 Exposure to Natural Language Processing (NLP) or other related fields
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and an equity sign-on bonus
 </li>
 <li>
 Biannual bonus scheme
 </li>
 <li>
 Fully expensed tech to match your needs
 </li>
 <li>
 Paid annual leave
 </li>
 <li>
 Breakfast and dinner allowance for office based employees
 </li>
 </ul>
</div>

Applied AI Engineer

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