applications engineer

StaffHost digital

<div>
 
 
 AI Engineer | London (Hybrid &ndash; 2 Days per Week) | Equity Available
 
 
 
 
 
 
 We're partnering with an exceptionally well-funded AI startup that is entering a pivotal stage of growth and innovation. Having successfully secured significant venture backing and built strategic relationships with some of the biggest names in AI, including Anthropic and OpenAI, they're now scaling their engineering team to help shape the next generation of AI-powered products.
 
 
 If you've previously experienced the rapid growth of a startup moving from Seed to Series A or Series A to Series B funding, you'll understand the pace, ownership, and impact that comes with this environment.
 
 
 
 
 
 
 The Opportunity
 
 
 
 As an AI Engineer, you'll play a key role in designing, building, and deploying production-grade AI systems that directly impact thousands of users. You'll work across the full lifecycle, from experimentation and prototyping through to deployment and optimisation, helping turn the latest AI advancements into real-world products.
 
 
 You'll be given the freedom to test new ideas, challenge existing approaches, and contribute to product strategy in a highly collaborative environment where speed and innovation are valued.
 
 
 
 
 
 
 What You'll Be Working On
 
 
 <ul>
 <li>
 Building and deploying AI-powered products and intelligent agent workflows
 </li>
 <li>
 Developing and optimising LLM applications for production environments
 </li>
 <li>
 Designing agentic systems capable of complex reasoning and task execution
 </li>
 <li>
 Experimenting with prompt engineering, context management, evaluation frameworks, and model orchestration
 </li>
 <li>
 Running user experiments and A/B testing to improve model performance and user experience
 </li>
 <li>
 Working closely with Product and Engineering teams to rapidly ship new features
 </li>
 <li>
 Exploring and implementing the latest advancements from OpenAI, Anthropic, and the wider AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Tech Stack &amp; Experience
 
 
 
 Key technologies include:
 
 <ul>
 <li>
 Python
 </li>
 <li>
 TypeScript / JavaScript
 </li>
 <li>
 LangGraph
 </li>
 <li>
 LangChain
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Anthropic APIs
 </li>
 <li>
 Vector Databases
 </li>
 <li>
 RAG Architectures
 </li>
 <li>
 Agentic AI Frameworks
 </li>
 <li>
 LLM Evaluation &amp; Observability Tools
 </li>
 <li>
 React (desirable)
 </li>
 <li>
 Cloud Platforms (AWS, GCP or Azure)
 </li>
 </ul>
 
 
 
 
 
 We're Looking For People Who
 
 
 <ul>
 <li>
 Have 4+ years&rsquo; experience building and deploying AI applications into production
 </li>
 <li>
 Have worked with LLMs, AI agents, RAG systems, or generative AI products
 </li>
 <li>
 Thrive in fast-paced startup environments
 </li>
 <li>
 Enjoy solving complex technical challenges with a product-first mindset
 </li>
 <li>
 Are comfortable working with ambiguity and taking ownership
 </li>
 <li>
 Have experience in a high-growth startup that has scaled through Seed &rarr; Series A or Series A &rarr; Series B funding
 </li>
 <li>
 Are passionate about the future of AI and excited by the pace of innovation in the market
 </li>
 </ul>
 
 
 
 
 
 Thank you for your interest in this opportunity. If your application is successful, we will contact you to discuss the position in more detail within 48 hours of receiving your CV. Please assume your application has been unsuccessful if you do not hear back from us within 48 hours.
 
 
</div>

AI Engineer

NiCE

<div><div>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</div><div>
UI Engineer &ndash; UK, Hybrid Role

1 year Fixed Term Contract (Maternity Cover)

At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.

So, what&rsquo;s the role all about?

We&rsquo;re looking for a UI Engineer who is a strong engineer today and excited about becoming an even better one by thoughtfully using AI as part of their craft.

This is not a research role and not an &ldquo;AI specialist&rdquo; position. It is a modern UI engineering role for someone who wants to work with AI, not around it &ndash; bringing AI tools and practices into the everyday flow of frontend development, and helping the wider team do the same.

What will you be doing?

Working on the Proactive AI Agent product as part of a cross‑functional engineering team, reporting into the Engineering Manager, you will:
<ul>
<li>Design, build, test and maintain high quality Angular-based frontend applications using modern engineering practices.</li>
<li>Use AI tools to accelerate development, improve code quality, explore solutions and reduce toil, while applying strong engineering judgement.</li>
<li>Collaborate closely with product, architecture and other engineers to deliver customer value.</li>
<li>Collaborate with software architects to ensure web application architecture is best-of-breed and extensible to support rapid development.</li>
<li>Deliver secure, maintainable, well‑tested code that meets internal guidelines and industry best practice.</li>
<li>Participate in code reviews, both giving and receiving thoughtful feedback.</li>
<li>Help evolve team practices, especially how AI is used responsibly and effectively in day‑to‑day engineering.</li>
<li>Document decisions, designs and learnings clearly.</li>
</ul>
How will you make an impact?
<ul>
<li>You will deliver polished, high-quality frontend features, not just code.</li>
<li>You will raise team capability by sharing better ways of working using AI‑assisted approaches.</li>
<li>You will help reduce friction in delivery by using AI to automate, simplify, or improve frontend development workflows.</li>
<li>Using agentic workflows to automate routine development tasks while focusing your expertise on high-quality UI and complex component logic.</li>
<li>Critically evaluate AI-generated code for logical errors, accessibility issues, and performance.</li>
<li>You will bring curiosity and pragmatism when exploring new tools or techniques.</li>
<li>Help evolve the team by sharing AI tips, and mentoring others on how to integrate AI tools responsibly into their daily workflows.</li>
</ul>
Have you got what it takes?

Core UI engineering skills
<ul>
<li>At least 5+ years of software engineering experience, with a strong frontend specialism.</li>
<li>At least 4+ years of experience with Angular (2nd generation+) in production applications.</li>
<li>Experience with Angular 16+ features, e.g. standalone components, new control flow, signals.</li>
<li>Practical experience with React; comfortable building and maintaining React components in a production codebase alongside Angular.</li>
<li>Excellent knowledge of TypeScript, JavaScript, HTML5 and CSS3.</li>
<li>Experience working with RESTful APIs.</li>
<li>Experience unit testing with Jasmine + Karma or Jest. Proficient in writing testable and reusable code and developing scalable applications.</li>
<li>Experience with CSS pre-processors (SASS).</li>
<li>Experience with version control, CI/CD pipelines and modern development workflows.</li>
<li>A good understanding of testing, security and software quality fundamentals.</li>
</ul>
AI‑era mindset (this matters)
<ul>
<li>Actively uses AI tools (e.g. coding assistants, chat‑based models, analysis tools) as part of development work.</li>
<li>Curious about how AI can improve developer productivity, quality, and learning &ndash; not just speed.</li>
<li>Comfortable validating, correcting and refining AI‑generated outputs.</li>
<li>Experiments with new tools or workflows and reflects on what works and what doesn&rsquo;t.</li>
<li>Can explain why a solution is correct, even if AI helped produce it.</li>
</ul>
NiCE to have, but not essential
<ul>
<li>State management experience using NgRx/Redux.</li>
<li>Experience with observables using RxJS.</li>
<li>Experience with front-end hosting models.</li>
<li>E2E testing using the Playwright test framework.</li>
<li>Experience with Storybook.</li>
<li>Experience working in an Agile Scrum environment.</li>
<li>Experience working in a controlled environment where data security is paramount.</li>
<li>Familiarity with data security standards such as ISO27001, SOC2, HIPAA and GDPR.</li>
<li>Experience working with SaaS.</li>
</ul>
What&rsquo;s in it for you?

Join an ever-growing, market disrupting, global company where the teams &ndash; comprised of the best of the best &ndash; work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 11301

Reporting into: Manager, Engineering

Role Type: Individual Contributor. 
 
#LI-Hybrid</div><div>
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

UI Engineer (1 year Fixed Term Contract)

Dentons

<div>
 
 
 Department/Division
 
 : Solutions/Innovation
 
 
 
 Duration
 
 : Permanent
 
 
 
 Type of Role
 
 : Hybrid
 
 
 
 Reference Number
 
 : 10203
 
 
 
 
 
 
 The Team
 
 
 
 
 
 
 The Innovation &amp; AI team sits within the Solutions function and is responsible for identifying, developing and scaling innovative solutions, including AI and legal technology, to enhance client service delivery and internal efficiency.
 
 
 
 
 
 The team works closely with IT, Office of the General Counsel (OGC), Procurement, Solutions/Helix and Practice Groups to pilot, implement and embed new tools and ways of working across the firm.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 The Applied AI Engineer designs, builds and productionises AI-enabled solutions for legal and business services delivery. Working consultatively with stakeholders and delivery teams, the role translates use cases into technical designs across Python applications, cloud workflows, enterprise platforms, AI skills, agents, integrations and automations.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, build and maintain AI-enabled applications, automations and internal tools using Python, cloud services and enterprise platforms.
 </li>
 <li>
 Work with stakeholders to understand business problems, assess use cases and translate requirements into practical technical designs.
 </li>
 <li>
 Build integrations between internal systems, enterprise platforms, external applications and AI services.
 </li>
 <li>
 Develop reusable AI skills, agents, workflow components and automation patterns that can be adopted across the firm.
 </li>
 <li>
 Build document-focused AI workflows, including extraction, summarisation, search, retrieval and due diligence support.
 </li>
 <li>
 Productise AI pilots by improving reliability, maintainability, testing, evaluation, documentation and reuse.
 </li>
 <li>
 Design and implement multi-step AI workflows, including tool-using, agentic and platform-native automations where appropriate.
 </li>
 <li>
 Collaborate with product, UX, engineering, cloud, innovation and business teams to deliver secure, production-ready solutions.
 </li>
 <li>
 Apply sound engineering judgement around confidential client data, privacy, security, governance and responsible AI.
 </li>
 </ul>
 
 
 
 
 
 Key Skills &amp; Experience
 
 
 
 
 
 <ul>
 <li>
 Python software engineering experience across applications, integrations, automations or internal tools.
 </li>
 <li>
 Experience building or implementing AI/ML or LLM-enabled solutions in production or near-production settings.
 </li>
 <li>
 Experience working with APIs, SDKs, cloud services and enterprise platforms.
 </li>
 <li>
 Practical understanding of prompt engineering, RAG, LLM workflows or agentic patterns.
 </li>
 <li>
 Ability to interview stakeholders and translate business processes into technical designs.
 </li>
 <li>
 Experience with testing, debugging, documentation, Git and maintaining reliable systems.
 </li>
 <li>
 Strong communication and problem-solving skills across technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred:
 
 
 
 
 
 <ul>
 <li>
 Experience within a legal, professional services or other document-intensive enterprise environment.
 </li>
 <li>
 Familiarity with document processing pipelines, unstructured data workflows or knowledge retrieval systems.
 </li>
 <li>
 Experience with orchestration frameworks, agents, skill-building frameworks or workflow automation tools.
 </li>
 <li>
 Experience building on enterprise AI platforms or comparable environments.
 </li>
 <li>
 Exposure to governance, security, privacy and responsible AI considerations in enterprise environments.
 </li>
 </ul>
 
 
 
 
 
 Personal Attributes
 
 
 
 
 
 <ul>
 <li>
 Pragmatic and delivery-focused, with the ability to turn ambiguous ideas into working solutions.
 </li>
 <li>
 Consultative and curious, able to ask good questions and challenge assumptions constructively.
 </li>
 <li>
 Collaborative and comfortable working across multidisciplinary teams.
 </li>
 <li>
 Adaptable in a fast-moving environment where requirements and technologies evolve.
 </li>
 <li>
 Clear communicator who can explain technical concepts to non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Firm Profile
 
 
 
 Across more than 80 countries, Dentons helps you grow, protect, operate and finance your organisation by providing uniquely global and deeply local legal solutions. Polycentric, purpose-driven and committed to inclusion, diversity, equity and sustainability, we focus on what matters most to you. www.dentons.com
 
 
 
 
 
 
 Inclusion and Diversity
 
 
 
 We are committed to building an inclusive culture here at Dentons where our people can thrive, regardless of their background or circumstance. As well as being the right thing to do, it makes good business sense too. A richness of backgrounds, experiences and perspectives helps us best serve our clients and the communities in which we operate. You can find out more about inclusion and diversity at Dentons here: Inclusion and Diversity
 
 
 
 
 
 Dentons is committed to providing equal opportunities for all. We welcome applications from everyone including of any age, ethnicity, religion, sex, sexual orientation, gender identity, nationality, neurotype, disability, or with parental or caring responsibilities. We are also &ldquo;Happy to Talk Flexible Working&rdquo; and welcome conversations about flexible working arrangements.
 
 
 
 
 
 Dentons is a Disability Confident employer. Candidates with a disability may choose to apply under the Disability Confident Scheme. We will offer an interview to disabled applicants who meet the minimum criteria for the role. Where application volumes are high, we may offer interviews to those who best meet the minimum criteria, consistent with our approach for all candidates.
 
 
 
 
 
 During the application process, all applicants have the opportunity to tell us about any adjustments or support they require so they are able to perform at their best. Any information you share with us during the application process is treated in confidence.
 
 
 
 
 
 If you have any questions about this or the role criteria, please email recruitment.matters@dentons.com.
 
 
 
 
 
 
 NO AGENCIES PLEASE
 
 
 
 If you are interested in applying for this position, we welcome direct applications via our careers page, but if you have any questions beforehand, please email recruitment.matters@dentons.com. Enquiries only please &ndash; applications will not be accepted via email.
 
 
 
 
 
 Please note that we will not accept unsolicited CVs sent to the business, nor will we accept any associated terms of business.
 
</div>

Applied AI Engineer

Ventula Consulting

<div>
 
 
 AI / ML Engineer - AI Startup - London - &pound;80k - &pound;120k
 
 
 
 
 
 
 A newly established Voice AI startup with multi-million funding, is looking to hire an AI / ML Engineer to focus on their ML pipelines which process very high-volume events at scale.
 
 
 
 
 
 Our client is looking for an individual with significant experience as either an AI Engineer or Machine Learning Engineer with clear evidence of shipping LLM powered ML products
 
 
 
 
 
 To be suitable for this role you will require the below:
 
 
 
 
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Excellent experience as a, ML, or AI Engineer, with evidence of shipping production systems
 </li>
 <li>
 Strong Python skills and experience with FastAPI
 </li>
 <li>
 Experience working modern MLOps tools, ideally Kubeflow
 </li>
 <li>
 Strong experience working closely with LLMs (including fine-tuning, RAG, prompt engineering)
 </li>
 <li>
 Strong problem-solving skills and ability to communicate technical trade-offs clearly
 </li>
 <li>
 Collaborative mindset with experience working across technical and non-technical teams
 </li>
 </ul>
 
 
 
 
 
 
 
 This position is a permanent role, based in London, with 3-4 days a week in the company's office
 
 
 
 
 
 The role offers a salary between &pound;80,000 - &pound;120,000
 
</div>

AI / ML Engineer

Percepta

<div>
 
 Who We Are
 
 
 
 Percepta&rsquo;s mission is to
 
 transform critical institutions with applied AI.
 
 We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology.
 
 
 To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together:
 
 
 <ul>
 <li>
 Forward-deployed expertise in engineering, product, and research
 </li>
 <li>
 Mosaic, our in-house toolkit for rapidly deploying agentic workflows
 </li>
 <li>
 Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more
 
 
 </li>
 </ul>
 Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives.
 
 
 Percepta is a direct partnership with General Catalyst, a global transformation and investment company.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring
 
 Applied AI Engineers
 
 who will work directly with customer executives, operators, and technical teams to define and deliver high-impact AI systems. We are excited to build out our European presence, and you will be on the front lines of helping to define our strategy and success in the region. We don't build prototypes or laboratory projects- you&rsquo;ll design, build, and ship production-grade AI agents and workflows that drive millions in business value for customers.
 
 
 
 Our Applied AI Engineers
 
 
 
 <ul>
 <li>
 Shape the AI vision: Collaborate with customer stakeholders to define their long-term AI strategy and transformation roadmap.
 </li>
 <li>
 Identify high-leverage use cases: Work backwards from the long-term vision to surface and prioritize specific AI applications that connect our ambition to measurable business value.
 </li>
 <li>
 Ship real products: Rapidly build and deploy AI solutions that work in the wild, with real users and real data.
 </li>
 <li>
 Advance our core product: Encode the lessons from our customer engagements in our Mosaic product, consistently contributing new features, patterns, and abstractions.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 AI-nativeness: You're excited about the potential for AI to transform businesses and want to play a hands-on role in bringing frontier technology into critical institutions.
 </li>
 <li>
 Being generative and collaborative: You love constantly jamming on new &ldquo;what if&rdquo; ideas with teammates and partners.
 </li>
 <li>
 Extreme ownership: You&rsquo;re willing to jump in and love being the one on the hook. You aren&rsquo;t going to wait to be pointed at a task&mdash;you&rsquo;re going to identify what you think we should do next, and then do it.
 </li>
 <li>
 Execution excellence and speed: You can build stuff in messy environments and know how to get code written and shipped quickly. You can hold the balance of speed and quality and know when to push the pace vs. when to slow down.
 </li>
 <li>
 Customer-obsession and respect: You&rsquo;re motivated by understanding customer pain points and iterating directly with end users to deliver wins quickly.
 
 
 </li>
 </ul>
 
 Bonus if you have
 
 
 
 <ul>
 <li>
 Hands-on experience with LLM tooling (LangGraph, Mastra, Agents SDK, etc).
 </li>
 <li>
 Built and deployed production LLM-powered systems (tool use, RAG pipelines, multi-step agents, human-in-the-loop, etc).
 </li>
 <li>
 Strong technical foundations in Python/TypeScript, cloud deployment (AWS/GCP/Azure) and DevOps tooling.
 </li>
 <li>
 Prior startup or founding engineer experience, balancing craft, ownership, and speed.
 
 
 </li>
 </ul>
 We&rsquo;re working against an incredibly ambitious mission. It won&rsquo;t be easy, but it will likely be the most fulfilling work of your career. If this excites you, let's chat, even if you don't meet all of the qualifications above.
 
 
 
 Our Values
 
 
 
 
 Dream bigger:
 
 We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen. We have to embrace the hard things when no one else will.
 
 
 
 Heart in the game:
 
 What we're doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems. This isn&rsquo;t a 9-5, nor is it a job we&rsquo;re ever going to monitor your hours. We promise to put work in front of you that matters and in return, we ask you to promise to care.
 
 
 
 Win for the customer:
 
 Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs. Everything we do&mdash;the products we build, the partnerships we launch, the strategy we set&mdash;exists to make our customers successful. Delivery is the strategy.
 
 
 
 Make the call:
 
 Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But "make the call" cuts both ways: make the decision
 
 and
 
 make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos.
 
 
 
 Intensity with kindness:
 
 We believe in excellence in execution, candor in feedback, ruthlessness in prioritization, and survivalist urgency. We also believe you don't need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable.
</div>

Applied AI Engineer - Europe

Elixirr Digital

<div>
 Are you passionate about leveraging AI to transform global industries? Do you have a proven track record of working with LLMs and building agentic solutions?
 
 
 Join
 
 Elixirr
 
 as an
 
 AI Engineer
 
 , where you will drive innovation and help shape the future of intelligent systems for clients across industries like banking, insurance, healthcare, telecommunications, consumer goods, and more. We're looking for proactive self-starters who are constantly reading research, applying it, and using AI to improve their processes, fully embracing the technology.
 
 
 At Elixirr Digital, we&rsquo;ve been on the cutting edge of generative AI from the beginning, developing our own platforms and deploying transformative solutions to global clients for several years. Our expertise spans working with early models like BERT to today&rsquo;s leading foundation and open-source models and leading frameworks like LangChain, AutoGen, Swarm, and Crew.ai to build innovative, agentic solutions. From underwriting agents that empower financial professionals to knowledge agents streamlining customer workflows, our solutions are revolutionising industries by embedding AI at their core.
 
 
 If you&rsquo;re excited to work at the forefront of generative AI, helping enterprises transform from the inside out, we want to hear from you. Let&rsquo;s build the future of AI together!
 
 
 
 What will you be doing as an AI Engineer at Elixirr?
 
 
 
 <ul>
 <li>
 Design &amp; implement solutions: architect, design, and develop advanced AI systems with a focus on LLMs and agentic solutions that transform enterprise workflows.
 </li>
 <li>
 Collaborate: work cross-functional experts to deliver AI-driven innovations and mentor Junior Engineers.
 </li>
 <li>
 Drive innovation: work on a mix of internal R&amp;D projects and enterprise-level solutions, building and optimising tools for both internal and client use.
 </li>
 <li>
 Deploy at scale: develop and maintain production-ready AI solutions, ensuring scalability, performance, and reliability.
 </li>
 <li>
 End-to-end life cycle: own and contribute to the entire AI development life cycle, from research and prototyping to deployment and monitoring.
 </li>
 <li>
 Deliver tangible outcomes: help global enterprises achieve measurable impact through solutions like underwriting agents, airport assistants, pharmacy workflow optimisers, and customer due diligence systems.
 
 
 </li>
 </ul>
 
 Competencies &amp; skillset we expect you to have to successfully perform your job:
 
 
 
 
 
 <ul>
 <li>
 Experience with LLMs: hands-on experience working with LLMs, with demonstrated expertise in building and deploying agentic solutions using frameworks such as LangChain, AutoGen, Crew, or Swarm.
 </li>
 <li>
 Bring technical expertise: solid background in programming and past experience in machine learning, with a deep understanding of at least one area such as deep learning, reinforcement learning, fine-tuning, or model development.
 </li>
 <li>
 Think strategically: ability to design and lead AI solutions while also contributing directly to development. Excellent problem-solving, analytical, and critical thinking skills, with a proficiency in applying mathematical principles to analyse, model, and solve complex problems.
 </li>
 <li>
 Focus on outcomes: passion for transforming businesses and delivering measurable results through AI.
 </li>
 <li>
 Collaborate effectively: experience working in cross-functional teams, balancing R&amp;D and production-level work.
 </li>
 <li>
 Innovation-driven: stay ahead of AI trends, continuously innovate by building and refining tools for internal and client use, and actively apply cutting-edge research to improve processes and develop scalable, impactful solutions.
 
 
 </li>
 </ul>
 
 Bonus points if you have:
 
 
 
 
 
 <ul>
 <li>
 Proven track record of leading AI projects from concept to deployment.
 </li>
 <li>
 Strong understanding of the AI development life cycle, with deep expertise in at least one part of the process.
 </li>
 <li>
 Examples of deployed AI systems demonstrating agentic capabilities.
 
 
 </li>
 </ul>
 
 We Could Be a Perfect Fit If You Are
 
 
 
 <ul>
 <li>
 Passionate about technology. You anticipate, recognise, and resolve technical problems using a variety of specialised tools for application development and support.
 </li>
 <li>
 Independent. You are a self-motivated and ambitious individual, capable of managing multiple responsibilities effectively.
 </li>
 <li>
 Problem-solver. You think creatively and find solutions to complex challenges.
 </li>
 <li>
 Creative &amp; outside-the-box thinker. You look beyond blog posts and whitepapers, competitions, and even state-of-the-art benchmarks to solve real-world problems.
 </li>
 <li>
 Communicator. Strong verbal and written communication skills are essential to ensure effective collaboration and timely delivery of results within the team.
 </li>
 <li>
 Proficient in English. We work across continents in a global environment, so fluent English, both written and spoken is a must.
 
 
 </li>
 </ul>
 
 Why join Elixirr?
 
 
 
 <ul>
 <li>
 Global impact: work with top-tier clients across industries, solving real-world challenges with transformative AI solutions.
 </li>
 <li>
 Cutting-edge innovation: develop and deploy AI tools and platforms that redefine what&rsquo;s possible in enterprise AI.
 </li>
 <li>
 Collaborative culture: join a team of innovators passionate about advancing AI while fostering a collaborative, inclusive environment.
 </li>
 <li>
 Diverse projects: tackle a wide range of AI applications, from NLP to reinforcement learning, for use cases as varied as field support for telecom workers and optimising customer workflows in banks.
 </li>
 </ul>
</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>

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