generative ai engineer

Capgemini

<div><div><div><div><p><b>Job Title</b>: Generative AI Engineer/Data Scientist</p>
<p><b>Location</b>: London</p><br>
<p><br>
<b>About the Job you are considering:
</b></p><p>We are seeking a Senior Generative AI Data Engineer with strong experience in financial services (banking, capital markets, insurance, or fintech) to design, build, and scale GenAI-powered data solutions. The role combines modern data engineering, ML/LLM integration, and domain-specific financial knowledge to deliver enterprise-grade AI platforms.<br>
<br>
</p><p><b>Hybrid working:
</b></p><p>The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.</p><br>
<p><br>
<b>Your Role:
</b></p><ul><li>Implement and finetune generative AI models under the guidance of senior team members</li>
<li>Contribute to prompt engineering and development of Ai powered workflows</li>
<li>Assist with the deployment monitoring and maintenance of AI models in production environments</li>
<li>Collaborate with data scientists and engineers to ensure seamless integration of AI capabilities</li>
<li>Perform data preprocessing feature engineering and API development for AI applications</li>
<li>Participate in code reviews testing and documentation to ensure quality and reliability</li>
<li>Stay updated with advancements in GenAI and share relevant learnings with the team</li>
<li>You will lead the development of data pipelines, vector databases, retrieval systems, and LLM-driven applications to solve use cases such as risk analytics, fraud detection, regulatory compliance, document intelligence, and customer insights</li><br>
</ul><p><br>
<b>Your Skills
</b></p><ul><li>Handson experience with at least one major machine learning framework PyTorch TensorFlow Keras</li>
<li>Familiarity with LLMs prompt engineering and finetuning eg LoRA QLoRA</li>
<li>Exposure to RAG systems and basic knowledge of hybrid search techniques</li>
<li>Understanding of model deployment and containerization Docker</li>
<li>Proficiency in Python for AI development data preprocessing and scripting</li>
<li>Experience with generative AI tools LangChain Hugging Face LlamaIndex is a plus</li>
<li>Understanding of version control systems Git</li>
Awareness of AI compliance data privacy and responsible AI principles.<br>
<li>
<br>
</li></ul><p><b>We are a Disability Confident Employer:</b></p>
<p>Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government&rsquo;s Disability Confident scheme.<i> </i>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>
<p><b>Make It Real (what does it mean for you):</b></p>
<ul><li>You&rsquo;d be joining an accredited Great Place to work for Wellbeing in 2024. 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.
<br>
To help support wellbeing we have trained &lsquo;Mental Health Champions&rsquo; across each of our business areas, and we have invested in wellbeing apps such as Thrive and Peppy.</li>
<li>You will be empowered to explore, innovate, and progress. You will benefit from Capgemini&rsquo;s &lsquo;learning for life&rsquo; mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.</li>
<li>You will be joining one of the World&rsquo;s Most Ethical Companies&reg;, as recognised by Ethisphere&reg; for 13 consecutive years. We live our values by making ethical business choices every day. Working ethically is at the centre of our culture at Capgemini, meaning you will be helping to create a future we can all be proud of.</li><br>
</ul><p><br>
<b>Why you should consider Capgemini:
</b></p><p>Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.</p><br>
<p><br>
<b>About Capgemini:
</b></p><p>Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of &euro;22.1 billion.
<br>
Make it real | www.capgemini.com</p></div></div></div></div><div></div>

Senior Generative AI Engineer

Talan

<div><b>Company Description</b><p><br>
Talan Data x AI is a leading Data Management and Analytics consultancy, working closely with leading software vendors and top industry experts across a range of sectors, unlocking value and insight from their data. At Talan Data x AI, innovation is at the heart of our client offerings, and we help companies to further improve their efficiency with modern processes and technologies, such as Machine Learning (ML) and Artificial Intelligence (AI).</p><b><br>
Job Description</b><p><br>
As our AI practice grows, we are looking for a capable, hands-on AI Engineer to help build and deliver the solutions at the heart of our client work. Coming from a data science background, you are equally comfortable applying proven machine-learning techniques to traditional analytics problems and working with the latest generative AI (large language models, retrieval-augmented generation, and agent-based applications). You enjoy building, you write dependable code, and you turn well-defined designs into working software.</p><p>
This is a delivery-focused role that sits a level below our Lead Data Scientists. You will own meaningful workstreams within a project rather than the whole engagement, working to an architecture and plan shaped by more senior colleagues. In return, you will gain breadth across modern AI, exposure to real client problems,</p><p>
You will also be a supportive presence within the team, helping your peers solve problems, sharing what you learn, and giving day-to-day guidance to graduate and junior resources working alongside you.</p><p><b>
Required skills &amp; experience:</b></p><ul><li>
Build, test, and deploy AI and machine learning components within client projects to the standards and designs set by senior colleagues.</li><li>
Develop GenAI and LLM-based features (prompting, retrieval-augmented generation, and simple agentic workflows) alongside more traditional ML models.</li><li>
Deliver classical data science tasks (data preparation, feature engineering, model training, and evaluation) on projects that call for them.</li><li>
Translate solution designs into clean, well-documented, production-minded code.</li><li>
Contribute to model evaluation, testing, and monitoring.</li><li>
Support and guide very junior and graduate resources, reviewing their work and helping them grow.</li><li>
Help peers unblock technical problems and share knowledge across the team.</li><li>
Take part in client and team discussions and communicate your work clearly.</li></ul><br>
<b>
Qualifications</b><p><b><br>
To qualify for this role, you must have:
</b></p><ul><li>Typically, 2&ndash;4 years' experience in data science, machine learning, or AI engineering.</li><li>
Solid grounding in core data science and machine learning.</li><li>
Practical experience with LLMs and generative AI, including prompting and RAG.</li><li>
Familiarity with how AI agents are built and orchestrated.</li><li>
Strong Python and common data/ML libraries; good engineering habits.</li><li>
Clear communicator and collaborative team player.</li></ul><p><b>
Ideally, you&rsquo;ll also have, but not essential:</b></p><ul><li>
Exposure to cloud AI platforms, Azure a plus.</li><li>
Experience practicing MLOps and LLMOps.</li><li>
Early experience mentoring junior colleagues.</li><li>
Interest in consulting and client-facing delivery.</li></ul><p><b>
You must be:</b></p><ul><li>
Willing to work on client sites, potentially for extended periods.</li><li>
Willing to travel for work purposes and be happy to stay away from home for extended periods.</li><li>
Eligible to work in the UK without restriction.</li></ul><p>
#TalanUK #LI-HB1</p><b><br>
Additional Information</b><p><b><br>
Compensation &amp; Benefits Package:</b></p><ul><li>
BDP Plus &ndash; A reward programme whereby you accrue points to trade against a 3-month paid sabbatical or cash equivalent.</li><li>
25 days holiday + bank holidays.</li><li>
5 days holiday buy/sell option.</li><li>
Private medical insurance.</li><li>
Life cover.</li><li>
Cycle to work scheme.</li><li>
Eligibility for company pension scheme (5% employer contribution, salary sacrifice option).</li><li>
Employee assistance programme.</li><li>
Bespoke online learning via Udemy for Business.</li></ul><p><b>
Why join:</b></p><p>
This is a role built for momentum, working across the full spectrum of modern AI, learning from senior architects and leads on real engagements, with genuine responsibility from day one and a clear path into a leadership track.</p></div>

AI Engineer (LLMs, Agents & Applied Data Science)

Jack & Jill

<div>
 <strong>
  This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
  <br/>
  <br/>
 </strong>
 She will pick the best candidates from Jack's network.
 <br/>
 <br/>
 The next step is to speak to Jack.
 <br/>
 <br/>
 <strong>
  Job Title
  <br/>
  <br/>
 </strong>
 AI Engineer
 <br/>
 <br/>
 <strong>
  Salary
  <br/>
  <br/>
 </strong>
 Not Disclosed
 <br/>
 <br/>
 <strong>
  Company Description
  <br/>
  <br/>
 </strong>
 StackOne is a $24M VC-funded AI Integration Gateway backed by GV and Workday Ventures. They provide builders of SaaS platforms and AI Agents with a unified toolkit to orchestrate hundreds of enterprise-grade integrations, combining a real-time architecture with 25,000 pre-mapped actions across 200 connectors.
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 As an AI Engineer at StackOne, you will build the future of agentic integrations by delivering end-to-end AI products. Reporting to the CTO, you'll work with AI researchers to develop specialized LLMs for tool-calling, ensuring precision and reliability in agentic execution while maintaining high-performance inference pipelines and retrieval systems.
 <br/>
 <br/>
 <strong>
  Location
  <br/>
  <br/>
 </strong>
 London, UK
 <br/>
 <br/>
 <strong>
  Why this role is remarkable
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Work at the frontier of AI R&amp;D, building specialized LLMs designed for tool-calling and agentic execution rather than just general-purpose applications.
  </li>
  <li>
   Join a high-growth startup backed by elite investors like GV and Workday Ventures, scaling a platform that already powers thousands of integrations.
  </li>
  <li>
   Collaborate with a world-class veteran engineering team from industry leaders like Google, Microsoft, and Coinbase in a culture built on shipping and ownership.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Will Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Design and deploy full-stack features including inference pipelines, embeddings, and retrieval systems across AWS and Cloudflare.
  </li>
  <li>
   Implement cutting-edge tool-calling and Model Context Protocol (MCP) patterns to enable one-click agent integrations with any tool.
  </li>
  <li>
   Develop and maintain high-quality open-source and internal TypeScript and Python packages to accelerate the developer ecosystem.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  The ideal candidate
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Professional experience shipping production-grade applications using Generative AI and LLMs like GPT or Anthropic.
  </li>
  <li>
   Expert proficiency in TypeScript and Python with a proven track record of building scalable systems on AWS, GCP, or Cloudflare.
  </li>
  <li>
   Strong background in full-stack engineering with experience publishing SDKs, CLIs, or complex packages in a fast-paced environment.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who are Jack &amp; Jill?
  <br/>
  <br/>
 </strong>
 Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
 <br/>
 <br/>
 And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
 <br/>
 <br/>
 <strong>
  How does this work?
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Jack's an AI agent for job searching and career coaching. He works for you.
  </li>
  <li>
   Jill is the AI recruiter working for the company. She recruits from Jack's network.
  </li>
  <li>
   If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  We never post fake jobs
  <br/>
  <br/>
 </strong>
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 <br/>
 <br/>
 Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description.
 <br/>
 <br/>
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 <br/>
 <br/>
 Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
 <br/>
 <br/>
</div>


AI Engineer at StackOne

Octopus Energy

<div>
 <strong>
  About the role
 </strong>
 <br/>
 <p>
  Octopus was founded with a mission to use technology to accelerate us towards a low-carbon future. That&rsquo;s why we created Kraken - our own technology platform from scratch which now serves over 70 Million households and is a core reason why Octopus is the number one energy supplier in the UK. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy.
 </p>
 <br/>
 <p>
  <br/>
  We have been using GenAI in live, customer-facing environments since 2022, including one system that creates tens of thousands of high-quality emails for our Energy Specialists, combining our deep knowledge of the energy industry and the Octo communication style with customer-specific data from Kraken.
 </p>
 <br/>
 <p>
  <br/>
  We are now looking for a Senior AI Engineer. You will build and scale the systems that allow Octopus teams to use Generative AI models (LLMs, RAG, agents). You will be hands-on, working with a cross-functional team to build out flagship AI projects, and the platforms that enable others to succeed with Generative AI.
 </p>
 <br/>
 <p>
  <br/>
  You&rsquo;ll work on developing solutions that genuinely move us closer to Net Zero in a company passionate about building great technology to change the way customers use energy. You&rsquo;ll have wide open problems to solve, so you&rsquo;ll need to be comfortable with ambiguity, figuring out an approach and validating it fast.
 </p>
 <p>
  <p>
   <br/>
  </p>
  <strong>
   What you&rsquo;ll do
  </strong>
  <br/>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Design and Develop AI Platform Services:
     </strong>
     Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Knowledge Base Development:
     </strong>
     Build and maintain knowledge retrieval systems. Process heterogeneous documents like pdfs and build embedding pipelines that extract, chunk and embed into embedding models.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      AI Readiness:
     </strong>
     Process content from unstructured documents and make it AI ready: Optimize their structure, clear up text ambiguity, and embed rich machine-readable metadata.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      AI Ops, evals and observability:
     </strong>
     Set up framework for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Centre of Excellence:
     </strong>
     Act as a centre of excellence for the whole business in the technical side of AI and LLMs usage, setting best practices and accelerating adoption.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Governance and Guardrails:
     </strong>
     Create governance layers for implementing PII redaction, prompt filtering etc.
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
  <br/>
  <p>
   <br/>
  </p>
  <strong>
   What you&rsquo;ll need
  </strong>
  <br/>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Deep GenAI &amp; RAG Expertise:
     </strong>
     2+ years of hands-on experience building and productionizing LLM applications, with deep technical knowledge of vector databases (e.g., Qdrant, Weavite, Pinecone, pgvector) and orchestration layers (e.g., LangGraph, LlamaIndex). Comfortable working with heterogeneous documents like pdfs. Experience working with re-ranking models.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Production-Grade Asynchronous Python:
     </strong>
     Strong software engineering fundamentals with deep experience in asynchronous programming (asyncio, FastAPI) to handle highly concurrent, I/O-bound LLM and database calls.&nbsp;
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Advanced Context Engineering:
     </strong>
     Proven experience solving production RAG challenges such as context window management, metadata filtering and semantic routing. Experience leveraging coding harnesses like Claude code.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Modern Software Practices:
     </strong>
     Mastery of Git, automated testing and CI/CD pipelines. Experience working with cloud platforms like AWS.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Comfort with Ambiguity:
     </strong>
     Ability to rapidly prototype an approach, validate it with metrics, and pivot fast in a fast-moving environment.
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
  <br/>
  <br/>
  <strong>
   It would be great if you had
  </strong>
  <br/>
  <br/>
  <ul>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      GraphRAG Experience:
     </strong>
     Familiarity with Knowledge Graphs (e.g., Neo4j) and ontologies to enhance standard vector RAG with highly structured, interconnected corporate data.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Local/Open-Weight Model Deployment:
     </strong>
     Experience deploying and fine-tuning open-weight models (like Llama 3 or Mistral) via frameworks like vLLM or Ollama to optimize token costs and privacy.
    </p>
    <br/>
   </li>
   <br/>
   <li>
    <br/>
    <p>
     <strong>
      Prompt Caching &amp; Cost Optimisation:
     </strong>
     Practical experience implementing semantic caching layers to drastically reduce LLM API billing and response latency.
    </p>
    <br/>
   </li>
   <br/>
   <br/>
  </ul>
  <br/>
  <br/>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <br/>
 <p>
  💚 Why else you'll love it here 💚
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull;
  <strong>
   💰 Wondering what the salary for this role is?&nbsp;
  </strong>
  Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!
 </p>
 <p>
  &bull; 🎉&nbsp;Octopus Energy Group is a&nbsp;
  <strong>
   unique culture
  </strong>
  . An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded&nbsp;a podcast about our culture&nbsp;and how we empower our people. We&rsquo;ve also been placed in the&nbsp;top 10 companies for senior leadership
 </p>
 <p>
  &bull; 🎁&nbsp;Visit our UK perks hub -&nbsp;Octopus Employee Benefits
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <span>
    If this sounds like you then we'd love to hear from you. 🚀
   </span>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  P.S. Our process usually takes up to 4 weeks, but we&rsquo;ll always do our best to flex around what works for you. Along the way, you&rsquo;ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at talent@octoenergy.com and we&rsquo;d love to help!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential.&nbsp;Need any specific accommodations?&nbsp;Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.
  </em>
 </p>
 <br/>
 <p>
  Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses.
  <br/>
  <br/>
  We&rsquo;re lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team.
  <br/>
  <br/>
  If you&rsquo;d like to know more about how we use your data, you can reach out to us via email at talent@octoenergy.com.  We&rsquo;re happy to help!
 </p>
</div>


Senior AI Engineer

<div><h3 class="jobSectionHeader"><b>About the role</b></h3>
<p>
Octopus was founded with a mission to use technology to accelerate us towards a low-carbon future. That&rsquo;s why we created Kraken - our own technology platform from scratch which now serves over 70 Million households and is a core reason why Octopus is the number one energy supplier in the UK. We do it by hiring clever, curious, and self-driven people, enabling them with modern tools and infrastructure and giving them lots of autonomy.</p><p><br>
We have been using GenAI in live, customer-facing environments since 2022, including one system that creates tens of thousands of high-quality emails for our Energy Specialists, combining our deep knowledge of the energy industry and the Octo communication style with customer-specific data from Kraken.</p><p><br>
We are now looking for a Senior AI Engineer. You will build and scale the systems that allow Octopus teams to use Generative AI models (LLMs, RAG, agents). You will be hands-on, working with a cross-functional team to build out flagship AI projects, and the platforms that enable others to succeed with Generative AI.</p><p><br>
You&rsquo;ll work on developing solutions that genuinely move us closer to Net Zero in a company passionate about building great technology to change the way customers use energy. You&rsquo;ll have wide open problems to solve, so you&rsquo;ll need to be comfortable with ambiguity, figuring out an approach and validating it fast.</p>
<h3 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h3><div>
<ul>
<li><p><b>Design and Develop AI Platform Services:</b> Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.</p>
</li>
<li><p><b>Knowledge Base Development: </b>Build and maintain knowledge retrieval systems. Process heterogeneous documents like pdfs and build embedding pipelines that extract, chunk and embed into embedding models.</p>
</li>
<li><p><b>AI Readiness:</b> Process content from unstructured documents and make it AI ready: Optimize their structure, clear up text ambiguity, and embed rich machine-readable metadata.</p>
</li>
<li><p><b>AI Ops, evals and observability: </b>Set up framework for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).</p>
</li>
<li><p><b>Centre of Excellence: </b>Act as a centre of excellence for the whole business in the technical side of AI and LLMs usage, setting best practices and accelerating adoption.</p>
</li>
<li><p><b>Governance and Guardrails: </b>Create governance layers for implementing PII redaction, prompt filtering etc.</p>
</li>
</ul></div><h3 class="jobSectionHeader"><b>What you&rsquo;ll need</b></h3><div>
<ul>
<li><p><b>Deep GenAI &amp; RAG Expertise: </b>2+ years of hands-on experience building and productionizing LLM applications, with deep technical knowledge of vector databases (e.g., Qdrant, Weavite, Pinecone, pgvector) and orchestration layers (e.g., LangGraph, LlamaIndex). Comfortable working with heterogeneous documents like pdfs. Experience working with re-ranking models.</p>
</li>
<li><p><b>Production-Grade Asynchronous Python: </b>Strong software engineering fundamentals with deep experience in asynchronous programming (asyncio, FastAPI) to handle highly concurrent, I/O-bound LLM and database calls.</p>
</li>
<li><p><b>Advanced Context Engineering: </b>Proven experience solving production RAG challenges such as context window management, metadata filtering and semantic routing. Experience leveraging coding harnesses like Claude code.</p>
</li>
<li><p><b>Modern Software Practices: </b>Mastery of Git, automated testing and CI/CD pipelines. Experience working with cloud platforms like AWS.</p>
</li>
<li><p><b>Comfort with Ambiguity: </b>Ability to rapidly prototype an approach, validate it with metrics, and pivot fast in a fast-moving environment.</p>
</li>
</ul><div><h3 class="jobSectionHeader"><b>It would be great if you had</b></h3>
<div>
<ul><li><p><b>GraphRAG Experience: </b>Familiarity with Knowledge Graphs (e.g., Neo4j) and ontologies to enhance standard vector RAG with highly structured, interconnected corporate data.</p>
</li>
<li><p><b>Local/Open-Weight Model Deployment:</b> Experience deploying and fine-tuning open-weight models (like Llama 3 or Mistral) via frameworks like vLLM or Ollama to optimize token costs and privacy.</p>
</li>
<li><p><b>Prompt Caching &amp; Cost Optimisation:</b> Practical experience implementing semantic caching layers to drastically reduce LLM API billing and response latency.</p>
</li>
</ul></div></div></div><div>\uD83D\uDC9A Why else you'll love it here \uD83D\uDC9A<br>
</div><div></div><br>
<ul><li><b>\uD83D\uDCB0 Wondering what the salary for this role is? </b>Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!</li><li>\uD83C\uDF89 Octopus Energy Group is a <b>unique culture</b>. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We&rsquo;ve also been placed in the top 10 companies for senior leadership</li><li>\uD83C\uDF81 Visit our UK perks hub - Octopus Employee Benefits</li></ul><div></div><div><b><br>
If this sounds like you then we'd love to hear from you. \uD83D\uDE80</b></div><div></div><div><br>
P.S. Our process usually takes up to 4 weeks, but we&rsquo;ll always do our best to flex around what works for you. Along the way, you&rsquo;ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at talent@octoenergy.com and we&rsquo;d love to help!</div><div></div><div><i><br>
Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!</i></div><div></div><div><i><br>
Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.</i></div>
<p>
Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses. We&rsquo;re lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team. If you&rsquo;d like to know more about how we use your data, you can reach out to us via email at talent@octoenergy.com. We&rsquo;re happy to help!</p></div>

Ciklum

<p></p><div><div><div><div><div><div><div><div><div><div><div><b>Ciklum</b> is looking for a <b>Expert Agentic AI Engineer</b> to join our team full-time in the UK .<br>
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.</div><p><b>
About the role:</b></p><p>
As a Expert Agentic AI Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.</p><p><b>
Responsibilities:</b></p><ul><li>
Design, build, train, and deploy production-grade Machine Learning, Deep Learning, or Natural Language Processing (NLP) models</li><li>
Optimize ML models for enterprise-scale latency, throughput, and performance, ensuring flawless integration with data warehouses and automated workflow bots</li><li>
Partner with Data Engineers to engineer high-quality data pipelines, automated feature stores, and secure data preprocessing routines</li><li>
Establish and scale MLOps workflows to handle model lineage tracking, code versioning, automated validation gates, and continuous deployment pipelines</li><li>
Set the core technical direction for AI engineering across squads, evaluate emerging AI methodologies, and provide high-level mentorship to senior team members</li></ul><p><b>
Requirements:</b></p><ul><li>
5+ years (Senior) or 8+ years (Expert) of professional experience developing, shipping, and maintaining machine learning models in live production environments</li><li>
Agentic Frameworks: Hands-on experience building autonomous workflows, custom plugins, and orchestration logic using Microsoft Copilot Studio or semantic kernels</li><li>
Cloud AI Infrastructure: Proven experience deploying and fine-tuning generative AI models, prompt flow, and vector databases within Azure AI Foundry (formerly Azure AI Studio)</li><li>
Tool Integration: Strong background in connecting LLMs to external APIs, enterprise data sources, and robotic process automation (RPA) tools to enable autonomous action execution</li><li>
Elite proficiency in Python paired with extensive experience using core ML libraries and frameworks (such as PyTorch, TensorFlow, Scikit-Learn, or Hugging Face)</li><li>
Hands-on experience working with MLOps tracking tools and cloud-based AI infrastructure ecosystems (such as MLflow, Kubeflow, AWS SageMaker, or Azure ML)</li><li>
Strong computer science fundamentals, including advanced knowledge of data structures, algorithmic complexity, and clean code principles. a formal degree in Computer Science, Data Science, Mathematics, or a highly quantitative field is strongly preferred</li></ul><p><b>
What`s in it for you?</b></p><ul><li>
Strong community: Work alongside top professionals in a friendly, open-door environment</li><li>
Growth focus: Take on large-scale projects with a global impact and expand your expertise</li><li>
Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications</li><li>
Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies</li><li>
Care: Healthcare, Basic Life Insurance, Short and Long-term disability insurance according to the Company&rsquo;s Benefit Plans</li></ul><p><b>
About us:</b></p><p>
At Ciklum, we are always exploring innovations, empowering each other to achieve more, and engineering solutions that matter. With us, you&rsquo;ll work with cutting-edge technologies, contribute to impactful projects, and be part of a One Team culture that values collaboration and progress. In the UK, Ciklum is growing fast&mdash;inviting experienced professionals to lead digital transformation alongside Fortune 500 clients. Be part of a company where innovation and impact go hand in hand.</p><p><b>
Explore, empower, engineer with Ciklum!</b></p><p>
Interested already? We would love to get to know you! Submit your application. We can&rsquo;t wait to see you at Ciklum.</p><p>
#LI-VH1</p></div>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><p>REQUIRED SKILLS</p>
<div><ul><p>Agentic AI</p>
</ul></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div><div><div><div><div><div><p>JOB INFO</p>
<div><div><div><ul><div><div>Job Identification</div>
<div>3619</div>
</div><div><div>Job Category</div>
<div>Intelligent Automation</div>
</div><div><div>Posting Date</div>
<div>07/03/2026, 02:34 AM</div>
</div><div><div>Locations</div>
<div> <div></div><div><div>London
</div></div>(Hybrid)</div></div></ul></div></div></div></div></div></div></div></div></div></div></div></div><p></p>

Expert Agentic AI Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.</p><p>
As a Software Engineer III in the Securities Services team within the Commercial &amp; Investment Bank, you will design and deliver secure, scalable technology products that drive business success. You will build and evolve a shared frontend platform and reusable UI patterns, focusing on performance, accessibility, and developer experience. You will help deliver AI-enabled user experiences and accelerate engineering velocity by responsibly using modern AI developer tools. Your work will directly impact our customers and the way we build technology.</p><p>
This is a pure frontend position with a strong AI focus: you will help deliver AI-enabled user experiences and raise engineering velocity by using modern AI developer tools responsibly (e.g., AI-assisted coding, debugging, and test generation), while maintaining a high bar for correctness, security, and quality.</p><p><b>
Job Responsibilities:</b></p><ul><li>
Design, develop, and troubleshoot creative software solutions for technical challenges.</li><li>
Write secure, high-quality production code and maintain UI logic that integrates with shared platforms.</li><li>
Develop and maintain reusable React components and UI patterns for complex workflows.</li><li>
Build high-performance, data-intensive user interfaces using profiling and optimization techniques.</li><li>
Engineer accessible, inclusive experiences by partnering with UX and design teams.</li><li>
Write and maintain automated tests (unit, integration, end-to-end) to ensure reliability and quality.</li><li>
Collaborate with UX designers, product stakeholders, and developers to build custom UI components; develop tools and automated processes to streamline development and enhance developer experience.</li><li>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li><li>
Build Generative AI interface solutions using React and TypeScript, following CI/CD standards.</li><li>
Actively use AI development tools for code generation, refactoring, debugging, documentation, and testing; work closely with Product, UX, and cross-functional partners to deliver capabilities in agile sprints.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills:</b></p><ul><li>
Formal training or certification in software engineering.</li><li>
Expertise in HTML, CSS, JavaScript, React, TypeScript, and state management.</li><li>
Experience optimizing and debugging performance and memory issues in web applications.</li><li>
Strong communication and collaboration skills with cross-functional teams.</li><li>
Familiarity with agile methodologies, production readiness, and security-aware development.</li><li>
Experience maintaining production UI code in large development teams.</li><li>
Understanding of user experience principles and customer-oriented development.</li><li>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.</li><li>
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.</li><li>
Testing experience with component/unit and end-to-end tools (e.g., React Testing Library, Cypress, Playwright).</li><li>
Experience building or integrating Generative AI features in frontend products.</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills:</b></p><ul><li>
Exposure to cloud technologies and modern web delivery.</li><li>
Experience with shared UI platforms or component libraries.</li><li>
Strong accessibility engineering, including WCAG compliance and remediation.</li><li>
Understanding of software best practices, development lifecycle, and Agile tools.</li></ul>
<b>ABOUT US</b>
<br>
<br>
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>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Software Engineer III - React / TypeScript, Gen AI, Frontend

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