genai engineer

Accenture UK & Ireland

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  Role- Commerce Engineer (Generative AI)
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  Level- Consultant
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  Location- London
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 Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song
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 As a Commerce Engineer at Accenture Song, you'll be at the sharp end of building the next generation of agentic commerce &mdash; designing, prototyping and shipping AI-powered experiences for some of the world's leading retail and consumer brands. You'll work at the intersection of client needs, creative problem-solving and hands-on engineering, using generative AI and modern development tools to turn ideas into working solutions.
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 This is a role for someone who is comfortable with code, confident with clients and curious about how AI can reshape commerce. You should be technically confident, commercially curious and able to make complex AI concepts understandable to non-technical stakeholders.
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  What You Will Do
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  Work directly with clients, strategists, designers, architects and delivery teams to shape AI-powered commerce use cases and turn them into working solutions.
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  Build working prototypes and contribute to production-ready solutions, using AI tools to accelerate delivery.
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  Develop AI-enabled applications and integrations using Python, LLM APIs and modern application development patterns.
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  Apply practical generative AI concepts such as RAG, embeddings, vector search, prompt orchestration and tool/function calling.
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  Connect AI capabilities with APIs, structured and unstructured data, content systems and commerce platforms to create genuinely joined-up customer experiences.
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  Architect and implement data solutions that power AI at scale &mdash; designing pipelines and databases across SQL and NoSQL technologies to handle the volume and complexity of enterprise commerce data.
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  Explain technical ideas clearly to both technical and non-technical audiences, helping clients understand how AI solutions work and what trade-offs are involved.
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  Work within agile delivery teams, bringing rigour to solution design, engineering best practices and DevSecOps across the full delivery lifecycle.
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  Qualifications
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  Proven experience in a client-facing technical role, translating business needs into practical technical solutions.
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  Hands-on Python development experience, with the ability to build working applications, prototypes or service integrations.
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  Practical experience integrating LLM APIs such as OpenAI, Google Gemini, Vertex AI or similar.
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  Good working understanding of core generative AI patterns including RAG, embeddings, vector databases and LLM orchestration.
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  Comfortable contributing to production delivery, including version control, code reviews, testing, documentation and established engineering practices.
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  Set yourself apart
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  Experience in commerce, retail, consumer goods or customer experience environments.
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  Familiarity with commerce platforms, content platforms, CRM, product information or order management systems.
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  Familiarity with agentic AI patterns, workflow orchestration or frameworks such as LangChain, CrewAI, AutoGen or similar.
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  Hands-on experience with vector databases or search platforms.
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  A background that blends engineering with business, design, creative or product thinking.
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  What We'll Give You...
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 A thriving career with the chance to learn from passionate, talented colleagues and mentors. Exciting and varied client work with as much opportunity as you can handle. And a hugely sociable team to get to know.
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 Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:
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  Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
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  Family-friendly and flexible working policies.
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  A range of generous Parental Leave offerings.
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  Attractive pension plan with financial wellbeing support and resources.
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  Private healthcare insurance plan and Mental Wellbeing support.
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  Employee Assistance Programme, Career Development and Counselling.
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 Please note that with all of our roles, you should expect some in-person time for collaboration, learning and building relationships with clients, peers, leaders and communities.
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 As an employer, we will be as flexible as possible to support your specific work/life needs.
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 Application Deadline: Ongoing
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 Accenture reserves the right to close the role, at any time.
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GenAI Commerce Engineer

THRivve by intelletec

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  <strong>
   Expert AI Engineer &ndash; GenAI | Series B Fintech | London (Hybrid)
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  We&rsquo;re hiring an Expert AI Engineer to help build a next-generation GenAI product used by top-tier banks, hedge funds, and asset managers. This is a high-impact role on a brand-new AI product&mdash;turning massive financial datasets into real-time, explainable insights using LLMs.
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  You&rsquo;ll own architecture, ship production-grade AI systems, and work directly on a product already gaining serious traction with enterprise clients.
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   Key points:
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   Build and scale LLM-powered features across large, complex datasets
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   Design retrieval + reasoning systems for structured &amp; unstructured data
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   Own end-to-end delivery of production AI applications
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   Work closely with product + domain experts in a fast-moving team
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   What they want:
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   ~10+ years engineering experience
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   Strong hands-on GenAI / LLM experience in production
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   Solid backend skills (Python or similar)
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   Proven ownership of complex systems
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   Package:
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   Up to &pound;130k base + equity
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   London (Victoria) &ndash; Hybrid
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  High ownership, real-world impact, and a chance to shape how AI is used in global finance&mdash;drop me a message if you&rsquo;re interested.
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Artificial Intelligence Engineer

Software Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
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<p>Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in.<br>
</p><p><br>
As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback.</p><p>
</p><p><b>Job Responsibilities</b></p><ul><li>
Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges</li><li>
Write secure, high-quality production code and maintain algorithms that integrate with existing systems</li><li>
Collaborate with senior engineers and participate in design discussions</li><li>
Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks</li><li>
Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock</li><li>
Collaborate openly with the team, seek feedback, and apply it to improve outcomes</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Computer science degree or equivalent practical experience</li><li>
Hands-on experience with system design, application development, testing, and operational stability</li><li>
Strong understanding of the Software Development Life Cycle</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock</li><li>
Proficiency in Python (FastAPI)</li><li>
Experience building microservices and APIs</li><li>
Experience with elastic compute, NoSQL databases, and messaging queues</li><li>
Proficiency working with large language models and building agents with LangGraph</li><li>
Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization</li>
Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators<br>
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#LLMSuiteEngineering_jobs</li></ul>
<b>ABOUT US</b><br>
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<div><p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p><br>
</div><br>
<br>
<b>ABOUT THE TEAM</b>
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Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Applied AI ML Software Engineer III - LLM Suite Engineering - Senior Associate

<div><b>JOB DESCRIPTION</b><br>
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<p>Build what's next in applied AI at JPMorganChase - where your work shapes how teams use intelligent systems at scale. You'll lead hands-on engineering for agentic and GenAI capabilities that power the LLM Suite platform. This role offers a mix of deep technical problem-solving, architecture ownership, and collaboration with talented builders. If you enjoy turning ambiguity into reliable production systems, you'll thrive here. Join a team that values craft, security, and learning.</p><p><br>
As an Applied AI ML Lead in LLM Suite Engineering, you will design and deliver production-grade AI/ML and agentic solutions that integrate seamlessly with existing systems. You will own technical direction across architecture, implementation, and operational stability, with a strong focus on secure, high-quality software. You will partner with peers across engineering to identify patterns and improve standards, reliability, and scalability. You will help evolve the platform using modern public cloud services and agentic frameworks. You will contribute to a collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities.<br>
</p><p><b>Job Responsibilities</b></p><ul><li>
Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges</li><li>
Write secure, high-quality production code and maintain algorithms that integrate with existing systems</li><li>
Create architecture and design artifacts for complex applications, ensuring design constraints are met through delivery</li><li>
Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks</li><li>
Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock</li><li>
Identify hidden problems and patterns in data proactively to improve coding standards and system architecture</li><li>
Participate in software engineering communities of practice and events focused on emerging technologies</li></ul><p><b>
Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Computer science degree or equivalent practical experience</li><li>
Hands-on experience with system design, application development, testing, and operational stability</li><li>
Proficiency in Python (FastAPI)</li><li>
Experience building microservices and APIs</li><li>
Experience with elastic compute, NoSQL databases, and messaging queues</li><li>
Strong understanding of the Software Development Life Cycle</li><li>
Solid grasp of CI/CD, application resiliency, and security</li></ul><p><b>
Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock</li><li>
Proficiency working with large language models and building agents with LangGraph</li><li>
Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages</li><li>
Experience with containerization</li><li>
Knowledge of agent-to-agent (A2A) communication concepts</li><li>
Familiarity with Model Context Protocol (MCP)</li>
Experience with agentic orchestrators, personal AI assistants, or AI skills development<br>
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#LLMSuiteEngineering_jobs</li></ul>
<b>ABOUT US</b>
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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Applied AI ML Lead Software Engineer - LLM Suite Engineering

Capgemini

<div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>CAPGEMINI INVENT</b></h2>
</div><div><p>At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.</p>
<p>We&rsquo;re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks, and full-stack engineering to solve real business problems. If you&rsquo;re excited by rapid prototyping, scaling AI products into production, and using technology to make a tangible impact, this is your place to do it.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>YOUR ROLE</b></h2>
</div><div><p>In this position you will play a key part in:</p>
<ul><li>Designing, developing, testing, and deploying both front-end and back-end components of applications within the data science and AI consulting team with a focus on GenAI and agentic solutions. &middot; Collaborating cloud architects, data scientists, product managers, and business consultants to bring ideas to production.</li>
<li>Design agentic workflows with HITL gates, auditability, policy controls, and robust evaluation/monitoring suitable for regulated clients</li>
<li>Translating business challenges into AI-powered solutions, leveraging Generative and Agentic AI, data science, and analytics to deliver innovation and results to meet client standards. &middot; Working effectively in a team, supporting your peers in delivering at pace and meeting our own high internal standards of output and delivery.</li>
</ul><p>As part of your role, you will also have the opportunity to contribute to the business and your own personal growth, through activities that form part of the following categories:</p>
<ul><li>Business Development &ndash; Using your full stack skillset to build AI Demonstrators to showcase to potential clients, contributing to proposals, RFPs, bids, client pitch contribution, and client hosting at events.</li>
<li>Internal contribution &ndash; Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events &amp; activities), offering development.</li>
<li>Learning &amp; development &ndash; Training to support your career development and the skills demand within the company, certifications etc.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE</b></h2>
</div><div><p>We&rsquo;d love to meet someone with:</p>
<ul><li>Experience working in a major Consulting firm, and/or in industry but having a Consulting mindset with a proven ability to be successful in a matrixed organisation, and to enlist support and commitment from peers in selling and delivering solutions. Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions.</li>
<li>Experience of designing and developing full-stack applications across the application lifecycle, from building early PoCs, through to developing MVPs and testing them, to finally deploying a secure and scalable production-grade solution.</li>
<li>A proven track record of successfully delivering solutions using traditional Machine Learning models, Generative AI models and using Agentic AI frameworks in a client-facing environment, by building</li>
<li>GenAI And Agentic solutions, including data engineering in cloud environments.</li>
<li>The ability to demonstrate the potential that AI has to offer to unlock business value.</li><br>
</ul><p><br>
Your Technical Expertise:
</p><p>This list shows the technologies we work with most often. We don&rsquo;t expect you to have experience in all of them - what matters is a strong foundation and a good cross-section of these skills, along with the adaptability and curiosity to learn new tools as projects demand.</p>
<ul><li>Languages &amp; Frameworks: Python (3.10+), TypeScript, JavaScript (ES6+), SQL, Bash &middot; Frontend: React.js, Next.js (App Router &amp; Server Components), Tailwind CSS, ShadCN UI, Redux, Zustand, Jest, Cypress.</li>
<li>Build AI product UX patterns (streaming, review loops, provenance/citations, long-running tasks, error-recovery</li>
<li>Backend: Django (5.x+), DRF, FastAPI, Pydantic, Celery, Django Channels, Flask, RESTful APIs.</li>
<li>Databases &amp; Storage: PostgreSQL, MS SQL Server, MongoDB, Firestore, BigQuery, Azure Blob Storage.</li>
<li>Cloud &amp; DevOps: Azure (App Services, OpenAI, AKS), GCP (Vertex AI, Cloud Run), Docker, GitHub Actions, Azure DevOps, RBAC and Cost Controls.</li>
<li>Software Engineering: Clean Code (SOLID, DRY), DDD, modular architecture, TDD, code quality tools. &middot; AI Engineering (Desirable): RAG pipelines, agentic workflows, MCP, LLM integration (OpenAI, Gemini or other models from Huggingface), LangSmith, TruLens.</li>
<li>Agentic Frameworks (Desirable): LangChain, CrewAI, Autogen, OpenAI Agents, Google ADK.</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>WHAT YOU'LL LOVE ABOUT WORKING HERE</b></h2>
</div><div><p>We&rsquo;re a fantastic team of bright, ambitious people who love to bring the latest tech to real clients and bring it into production to make a meaningful difference. We work across both the public and private sectors, and our impact is tangible: we innovate, we deploy, and you&rsquo;ll see your work come to life in the real world.</p>
<p>Technology moves fast, and so do we. We&rsquo;re a group of true tech enthusiasts who push boundaries, experiment freely, and are trusted at Capgemini to explore what&rsquo;s next. Our in-house projects showcase what&rsquo;s possible with the newest models and agentic frameworks, and we regularly present our work at major events and conferences.</p>
<p>We&rsquo;re looking for more people with the curiosity, drive, and self-starting spirit of real innovators. people who love technology and want to build the future with us.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>ELIGIBILITY</b></h2>
</div><div><ul><li>You need to have resided in the UK for the last 5 years to be able to apply for this role</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>NEED TO KNOW</b></h2>
</div><div><p>At Capgemini we don&rsquo;t just believe in inclusion, we actively go out to making it a working reality. Driven by our core values and Inclusive Futures for All campaign, we build environments where you can bring you whole self to work.</p>
<p>We aim to build an environment where employees can enjoy a positive work-life balance. We embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.</p>
<p>Employee wellbeing is vitally important to us as an organisation. We see a healthy and happy workforce a critical component for us to achieve our organisational ambitions. To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas. We have also invested in wellbeing apps such as Thrive and Peppy.</p><br>
<p><br>
We are a Disability Confident Employer Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:
</p><ul><li>Declare they have a disability, and</li>
<li>Meet the minimum essential criteria for the role.</li>
</ul><p>Please opt in during the application process.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>CSR</b></h2>
</div><div><p>We&rsquo;re also focused on using tech to have a positive social impact. So, we&rsquo;re working to reduce our own carbon footprint and improve everyone&rsquo;s access to a digital world. It&rsquo;s something we&rsquo;re really serious about. In fact, we were even named as one of the world&rsquo;s most ethical companies by the Ethisphere Institute for the 10th year. When you join Capgemini, you&rsquo;ll join a team that does the right thing.</p><br>
<p><br>
Whilst you will have London, Manchester or Glasgow as an office base location, you must be fully flexible in terms of assignment location, as these roles may involve periods of time away from home at short notice.<br>
</p><p><br>
We offer a remuneration package which includes flexible benefits options for you to choose to suit your own personal circumstances and a variable element dependent grade and on company and personal performance.
</p></div></div><div><div><h2 class="jobSectionHeader"><b>ABOUT CAPGEMINI</b></h2>
</div><div><p>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 350,000 team members in more than</p>
<p>50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuelled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.</p></div></div></div></div></div></div></div>

Agentic / GenAI Consultant / Senior Consultant

Neo4j

<div><div><div><b>About Neo4j:</b>
</div><div><p>Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world&rsquo;s largest graph community. Intelligence that works. Results that matter.</p>
<p>Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business.</p>
</div><div><b>Our Vision:</b>
</div><div><p>At Neo4j, we have always strived to help the world make sense of data.
</p><p>As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we&rsquo;re disrupting how organizations leverage their data to innovate and stay competitive.</p>
</div></div><div><p><b>The Role:</b></p>
<p>Join Neo4j's innovative Generative AI (GenAI) team, where we are advancing cutting-edge AI and machine learning solutions. As a Front-End Engineer, you will play a pivotal role in designing and delivering exceptional user experiences for our GenAI product portfolio. You will contribute to both established and new products as we expand our suite of GenAI offerings.</p>
<h2 class="jobSectionHeader"><b>Key Responsibilities</b></h2>
<ul><li>Develop and maintain intuitive user interfaces for GenAI products using components from our design system.</li>
<li>Stay informed on emerging UI/UX trends and best practices in GenAI applications.</li>
<li>Collaborate with cross-functional teams to propose innovative ideas that shape the evolution of our GenAI products and services.</li>
<li>Provide technical guidance and support to internal teams integrating GenAI features into their applications.</li>
</ul><h2 class="jobSectionHeader"><b>Minimum Qualifications</b></h2>
<ul><li>Demonstrated industry expertise in creating user-focused GenAI applications with intuitive UX design.</li>
<li>5+ years of professional experience building front-end applications with React, Tailwind CSS</li>
<li>Proficiency in front-end development best practices, including CI/CD pipelines, version control systems, and code quality standards.</li>
</ul><p>#LI-hybrid</p>
</div><div><div><b>Why Join Neo4j?</b>
</div><div><p>Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j.</p>
<ul><li>Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years.</li>
<li>Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history.</li>
<li>84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others.</li>
<li>Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success.</li>
<li>Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform.</li>
<li>A recent Forrester Total Economic Impact&trade; Study cited Neo4j as delivering 417% ROI to customers.</li>
</ul><p>Research shows that members of underrepresented communities are less likely to apply for jobs when they don&rsquo;t meet all the qualifications. <b>If this is part of the reason you hesitate to apply, we&rsquo;d encourage you to reconsider and give us the opportunity to review your application. </b>At Neo4j, we are committed to building awareness and helping to improve these issues.</p>
<p>One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application.</p>
</div><div><b>Neo4j Values:</b>
</div><div><p>Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values:</p>
<p>(we)-[:VALUE]-&gt;(relationships)
<br>
(we)-[:FOCUS_ON]-&gt;(userSuccess)
<br>
(we)-[:THRIVE_IN]-&gt;(:Culture {type: [&lsquo;Open&rsquo;, &lsquo;Inclusive&rsquo;]})
<br>
(we)-[:ASSUME]-&gt;(:Intent {direction:&rsquo;Positive&rsquo;})
<br>
(we)-[:WELCOME]-&gt;(:Discussions {nature: &lsquo;IntellectuallyHonest&rsquo;})
<br>
(we)-[:DELIVER_ON]-&gt;(ourCommitments)</p>
<p>Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide.</p>
More information at www.neo4j.com.</div></div></div><div></div>

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