senior recruiter

Jack & Jill

<div>
 
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 
 
 
 She will pick the best candidates from Jack's network.
 
 
 The next step is to speak to Jack.
 
 
 
 Job Title
 
 
 
 Senior Backend Software Engineer
 
 
 
 Salary
 
 
 
 &pound;100k&ndash;&pound;140k + Equity
 
 
 
 Company Description
 
 
 
 Fleek is a ~$50M Series B startup backed by a16z and Y Combinator, building the AI-native infrastructure for the $350B global secondhand fashion market.
 
 
 
 Job Description
 
 
 
 You will join the Growth squad to own the core ecommerce journey, building backend systems for discovery, payments, and seller tools. Reporting to the CTO, you'll integrate the proprietary FleekSort AI classification engine into a marketplace handling millions of items. This role is about digitizing a broken, manual supply chain at global scale.
 
 
 
 Location
 
 
 
 London, UK
 
 
 
 Why this role is remarkable
 
 
 
 <ul>
 <li>
 Work on a genuinely novel technical challenge by integrating FleekSort, a custom AI model (not a GPT wrapper) that digitizes opaque secondhand inventory.
 </li>
 <li>
 Join a hyper-growth company tripling year-on-year with ~$50M in funding from top-tier investors like a16z, Y Combinator, and HV Capital.
 </li>
 <li>
 Deliver massive environmental impact by building systems that have already saved 9 million items from landfills and are scaling to serve thousands of global retailers.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Architect and own the end-to-end ecommerce journey, including item discovery, search, multi-currency payment systems, and credit infrastructure.
 </li>
 <li>
 Design and scale backend services to handle over 1 million unique items per month, connecting AI grading engines to real-time marketplace workflows.
 </li>
 <li>
 Collaborate in a senior product squad to translate complex international logistics and supply chain challenges into reliable, high-performance software.
 
 
 </li>
 </ul>
 
 The ideal candidate
 
 
 
 <ul>
 <li>
 Has 6-10 years of professional backend experience, ideally using Node.js and TypeScript, with a proven track record of shipping high-traffic production systems.
 </li>
 <li>
 Possesses a product engineering mindset from a consumer-facing marketplace or fintech background, focusing on commercial outcomes rather than just infrastructure.
 </li>
 <li>
 Thrives in early-stage, fast-paced environments (Seed to Series B) and utilizes AI tools like Cursor or Copilot as a force multiplier in their workflow.
 
 
 </li>
 </ul>
 
 Who are Jack &amp; Jill?
 
 
 
 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.
 
 
 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.
 
 
 
 How does this work?
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 We never post fake jobs
 
 
 
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 
 
 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.
 
 
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 
 
 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.
 
 
</div>

Senior Backend Software Engineer (£100k–£140k + Equity) at Fleek

Morgan McKinley

<div>
 
 🚀 Recruiter &ndash; Talent Acquisition
 
 
 
 📍 London | (5 Days on site Per Week)
 
 
 
 
 📅 9-Month Initial Contract
 
 
 
 
 💰 &pound;244/day plus holiday pay
 
 
 
 
 
 
 We're partnering with a global technology leader to hire an experienced
 
 Recruiter
 
 to join a high-performing Talent Acquisition team.
 
 
 This is an exciting opportunity to recruit across the EMEA region, partnering with hiring managers to attract exceptional talent, influence hiring strategy, and deliver a world-class candidate experience. You'll play a key role in supporting ambitious business growth while working in a fast-paced, collaborative environment.
 
 
 
 
 
 What You'll Be Doing
 
 
 ✅ Managing the full recruitment lifecycle across multiple vacancies throughout EMEA
 
 
 ✅ Developing innovative sourcing strategies to build diverse talent pipelines
 
 
 ✅ Partnering with hiring managers to understand hiring needs and advise on recruitment strategy
 
 
 ✅ Managing multiple concurrent searches in a fast-paced environment
 
 
 ✅ Delivering an exceptional candidate experience from first contact through to offer
 
 
 ✅ Using recruitment metrics and market insights to influence hiring decisions
 
 
 ✅ Building strong relationships with stakeholders across the business.
 
 
 
 
 
 What We're Looking For
 
 
 ✔ Proven experience managing full-cycle recruitment
 
 
 ✔ Experience recruiting within a high-volume or fast-paced environment
 
 
 ✔ Strong sourcing and talent mapping capability
 
 
 ✔ Excellent stakeholder management and communication skills
 
 
 ✔ Ability to prioritise multiple vacancies while maintaining quality
 
 
 ✔ Passion for delivering an outstanding candidate experience
 
 
 ✔ Experience recruiting across EMEA is highly desirable.
 
 
 
 
 
 Why Apply?
 
 
 ⭐ Join a globally recognised technology organisation
 
 
 ⭐ Recruit for business-critical roles across international markets
 
 
 ⭐ Work with experienced hiring leaders and Talent Acquisition professionals
 
 
 ⭐ Gain exposure to high-impact hiring projects
 
 
 ⭐ Hybrid working (3 days per week in the London office)
 
 
 ⭐ Immediate start with an initial 9-month contract and strong potential for extension.
 
 
 
 
 
 Interested? Apply now or get in touch for a confidential conversation.
 
 
 #Recruitment #Recruiter #TalentAcquisition #TalentPartner #TalentAdvisor #InternalRecruitment #InHouseRecruitment #EMEA #TechRecruitment #TechnologyJobs #Hiring #NowHiring #RecruitmentJobs #RecruitmentConsultant #Sourcing #TalentSourcing #CandidateExperience #StakeholderManagement #HiringManager #PeopleCareers #LondonJobs #HybridWorking #ContractJobs #ContractRecruiter #HRJobs #Careers #JobOpportunity #HiringNow #LinkedInJobs #RecruitmentLife #TechCareers #GlobalHiring #EMEAJobs
 
</div>

Recruiter

Citi

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Counterparty Credit Risk Analytics is a group within Citi Financial Risk Technology, responsible for developing the applications used for derivatives credit Risk and Basel Capital calculations Firm-wide.
The Counterparty Credit Risk Developer is an intermediate level position responsible for participation in the development and advancement of the derivatives credit risk application.
Core objectives will include developing and maintaining the applications calculating the Counterparty Credit Risk metrics. Additional objectives will include the contribution towards application execution analysis reports, monitoring and optimization of the application build and the enhancement of the end-to-end calculation test suite.
This is an excellent opportunity to gain exposure to a wide range of advanced technology paradigms like high performance grid computing.
 
It will provide significant opportunities to collaborate with teams in the broader internal network including Front Office Technology, Risk and Quant groups, and exposure to high performance computing and cloud.
Responsibilities:
<ul><li>Develop and maintain Counterparty Credit Risk applications
</li><li>Enhance and support CI/CD processes, including build, testing, and release management.
</li><li>Optimize codebase performance and facilitate the transition to cloud-based workflows.
</li><li>Expand and execute test suites (unit, regression, integration) and conduct performance/memory profiling.
</li><li>Create and maintain comprehensive documentation for applications and processes.
</li><li>Collaborate with Quant and Technology teams to integrate model updates and new technologies.
</li><li>Analyze complex issues and provide evaluative judgments on business and system processes.
</li><li>Serve as a Subject Matter Expert (SME) for senior stakeholders and team members, exercising independent judgment.
</li></ul>Qualifications:
<ul><li>Programming experience in Python, including systems analysis and software application development.
</li><li>Proficiency with UNIX shell scripting (e.g., bash, ksh) and version control software like Git.
</li><li>Experience with CI/CD pipeline technologies, such as Jenkins.
</li><li>Outstanding analytical and problem-solving skills with a thorough and detailed approach to accuracy.
</li><li>Experience in AWS cloud a plus.
</li><li>Excellent verbal and written communication skills in English.
</li><li>Ability to collaborate effectively within a large team of developers.
</li><li>Capacity to work under pressure, manage deadlines, and take ownership of tasks.
</li><li>Master&rsquo;s degree or equivalent in computer science, mathematics, engineering, or physics.
</li></ul>-
<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
-
<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
-
<h2 class="jobSectionHeader">Time Type:</h2>
Full time
-
<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

Counterparty Credit Risk Python Developer, AVP

<div>
 
 This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers.
 
 
 
 She will pick the best candidates from Jack's network.
 
 
 The next step is to speak to Jack.
 
 
 
 Job Title
 
 
 
 AI Engineer
 
 
 
 Salary
 
 
 
 Not Disclosed
 
 
 
 Company Description
 
 
 
 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.
 
 
 
 Job Description
 
 
 
 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.
 
 
 
 Location
 
 
 
 London, UK
 
 
 
 Why this role is remarkable
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 What You Will Do
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 The ideal candidate
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Who are Jack &amp; Jill?
 
 
 
 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.
 
 
 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.
 
 
 
 How does this work?
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 We never post fake jobs
 
 
 
 This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network.
 
 
 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.
 
 
 We appreciate this can make them look a bit suspect, but there isn't much we can do about it.
 
 
 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.
 
 
</div>

AI Engineer at StackOne

Octopus Energy

<div><h3 class="jobSectionHeader">About the role</h3>

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. 
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. 
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. 
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.
<h3 class="jobSectionHeader">
What you&rsquo;ll do</h3><div>
<ul>
<li>Design and Develop AI Platform Services: Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.
</li>
<li>Knowledge Base Development: Build and maintain knowledge retrieval systems. Process heterogeneous documents like pdfs and build embedding pipelines that extract, chunk and embed into embedding models.
</li>
<li>AI Readiness: Process content from unstructured documents and make it AI ready: Optimize their structure, clear up text ambiguity, and embed rich machine-readable metadata.
</li>
<li>AI Ops, evals and observability: Set up framework for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).
</li>
<li>Centre of Excellence: 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.
</li>
<li>Governance and Guardrails: Create governance layers for implementing PII redaction, prompt filtering etc.
</li>
</ul></div><h3 class="jobSectionHeader">What you&rsquo;ll need</h3><div>
<ul>
<li>Deep GenAI &amp; RAG Expertise: 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.
</li>
<li>Production-Grade Asynchronous Python: Strong software engineering fundamentals with deep experience in asynchronous programming (asyncio, FastAPI) to handle highly concurrent, I/O-bound LLM and database calls.
</li>
<li>Advanced Context Engineering: Proven experience solving production RAG challenges such as context window management, metadata filtering and semantic routing. Experience leveraging coding harnesses like Claude code.
</li>
<li>Modern Software Practices: Mastery of Git, automated testing and CI/CD pipelines. Experience working with cloud platforms like AWS.
</li>
<li>Comfort with Ambiguity: Ability to rapidly prototype an approach, validate it with metrics, and pivot fast in a fast-moving environment.
</li>
</ul><div><h3 class="jobSectionHeader">It would be great if you had</h3>
<div>
<ul><li>GraphRAG Experience: Familiarity with Knowledge Graphs (e.g., Neo4j) and ontologies to enhance standard vector RAG with highly structured, interconnected corporate data.
</li>
<li>Local/Open-Weight Model Deployment: 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.
</li>
<li>Prompt Caching &amp; Cost Optimisation: Practical experience implementing semantic caching layers to drastically reduce LLM API billing and response latency.
</li>
</ul></div></div></div><div>\uD83D\uDC9A Why else you'll love it here \uD83D\uDC9A 
</div><div></div> 
<ul><li>\uD83D\uDCB0 Wondering what the salary for this role is? 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 unique culture. 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> 
If this sounds like you then we'd love to hear from you. \uD83D\uDE80</div><div></div><div> 
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> 
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!</div><div></div><div> 
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.</div>

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!</div>

Senior AI Engineer

<div>
 
 About the role
 
 
 
 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.
 
 
 
 
 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.
 
 
 
 
 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.
 
 
 
 
 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.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 <ul>
 
 <li>
 
 
 
 Design and Develop AI Platform Services:
 
 Build reusable, scalable services that expose GenAI models, knowledge retrieval pipelines, and agent workflows to application teams.
 
 
 </li>
 
 <li>
 
 
 
 Knowledge Base Development:
 
 Build and maintain knowledge retrieval systems. Process heterogeneous documents like pdfs and build embedding pipelines that extract, chunk and embed into embedding models.
 
 
 </li>
 
 <li>
 
 
 
 AI Readiness:
 
 Process content from unstructured documents and make it AI ready: Optimize their structure, clear up text ambiguity, and embed rich machine-readable metadata.
 
 
 </li>
 
 <li>
 
 
 
 AI Ops, evals and observability:
 
 Set up framework for monitoring and evaluating AI output quality (relevance, accuracy, safety, drift, cost) and platform observability (latency, cost, usage).
 
 
 </li>
 
 <li>
 
 
 
 Centre of Excellence:
 
 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.
 
 
 </li>
 
 <li>
 
 
 
 Governance and Guardrails:
 
 Create governance layers for implementing PII redaction, prompt filtering etc.
 
 
 </li>
 
 
 </ul>
 
 
 
 
 
 What you&rsquo;ll need
 
 
 <ul>
 
 <li>
 
 
 
 Deep GenAI &amp; RAG Expertise:
 
 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.
 
 
 </li>
 
 <li>
 
 
 
 Production-Grade Asynchronous Python:
 
 Strong software engineering fundamentals with deep experience in asynchronous programming (asyncio, FastAPI) to handle highly concurrent, I/O-bound LLM and database calls.&nbsp;
 
 
 </li>
 
 <li>
 
 
 
 Advanced Context Engineering:
 
 Proven experience solving production RAG challenges such as context window management, metadata filtering and semantic routing. Experience leveraging coding harnesses like Claude code.
 
 
 </li>
 
 <li>
 
 
 
 Modern Software Practices:
 
 Mastery of Git, automated testing and CI/CD pipelines. Experience working with cloud platforms like AWS.
 
 
 </li>
 
 <li>
 
 
 
 Comfort with Ambiguity:
 
 Ability to rapidly prototype an approach, validate it with metrics, and pivot fast in a fast-moving environment.
 
 
 </li>
 
 
 </ul>
 
 
 
 It would be great if you had
 
 
 
 <ul>
 
 <li>
 
 
 
 GraphRAG Experience:
 
 Familiarity with Knowledge Graphs (e.g., Neo4j) and ontologies to enhance standard vector RAG with highly structured, interconnected corporate data.
 
 
 </li>
 
 <li>
 
 
 
 Local/Open-Weight Model Deployment:
 
 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.
 
 
 </li>
 
 <li>
 
 
 
 Prompt Caching &amp; Cost Optimisation:
 
 Practical experience implementing semantic caching layers to drastically reduce LLM API billing and response latency.
 
 
 </li>
 
 
 </ul>
 
 
 
 
 
 
 
 
 
 💚 Why else you'll love it here 💚
 
 
 
 
 
 &bull;
 
 💰 Wondering what the salary for this role is?&nbsp;
 
 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!
 
 
 &bull; 🎉&nbsp;Octopus Energy Group is a&nbsp;
 
 unique culture
 
 . 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
 
 
 &bull; 🎁&nbsp;Visit our UK perks hub -&nbsp;Octopus Employee Benefits
 
 
 
 
 
 
 
 If this sounds like you then we'd love to hear from you. 🚀
 
 
 
 
 
 
 
 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!
 
 
 
 
 
 
 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!
 
 
 
 
 
 
 
 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.
 
 
 
 
 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!
 
</div>

<div><h2 class="jobSectionHeader">Discover your future at Citi</h2>
Working at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you&rsquo;ll have the opportunity to grow your career, give back to your community and make a real impact.
<h2 class="jobSectionHeader">Job Overview</h2>
Team Overview
XiP is building a next-generation cross-asset calculation system for Citi trading desks and enterprise users in the largest global financial markets and exchanges in New York, London, and other major financial hubs.
Our team owns multiple Java Spring Boot Services that execute, partition, and track quantitative risk graphs/trades in a distributed environment. These graphs can fail due to their complexity and our system must adapt quickly to these failures to provide a seamless experience for clients.
XiP Compute Services are deployed onto OpenShift and Amazon&rsquo;s Elastic Kubernetes Service (EKS). An important initiative in 2025 will be onboarding Google&rsquo;s Kubernetes Engine to further expand our coverage. Our system scales on-demand, and we can run up to tens of thousands of replicas of our services across all asset classes.
Role Overview
We are seeking a Senior Engineer to fill the role of &lsquo;Applications Development Technology Lead Analyst&rsquo; on the XiNG large scale distributed calculation platform (XiP).
In this role you will design, build, and maintain the calculation engine at the heart of the XiP platform. This engine is responsible for c. 0.5 billion risk &amp; suitability calculations at Citi every day. A single customer run compresses 17 million minutes of compute into a single 90-minute execution.
Run on hundreds of thousands of pods across the entire XiP platform every day this calculation engine is both highly performant and rapidly changing to support new scenarios, technologies, and infrastructure.
As an engineer working on the calculation engine. You will work closely with software engineers, DevOps, and our customers to ensure reliable, secure, and scalable operations of our platform.
Responsibilities:
Take part of the shared responsibility for the long-term strategic direction of the XiP Calculation Engine:
Apply your experience and skills to develop the future versions of the calculation engine. This means making it faster, utilizing resources better, and scale to even greater sizes. This means adding new features without impacting performance of the platform in undesirable manner, small changes multiplied by millions of calculations have a high cost. This means solving hard problems like transferring small amounts of data to a huge number of machines.
Serve as advisor or coach to team members, allocating and overseeing work:
Mentor and guide mid-level developers, providing technical advice, code reviews, and career development support. Allocate tasks based on skill sets and project priorities, ensuring balanced workloads and timely delivery. Foster a collaborative and growth-oriented team environment, encouraging best practices and continuous learning.
Implement changes and improvements to Citi's Risk Calculation Engine, including analyzing and designing improvements to the distribution mechanisms of the engine which regularly parallelizes 250,000 hours of compute into a single 90-minute execution:
Lead the design, development, and implementation of enhancements to the Risk Calculation Engine, focusing on optimizing its distribution mechanisms. Analyze current parallelization strategies and identify opportunities to further improve efficiency, scalability, and throughput.
Operationally support the optimization of Risk calculations by examining and providing SME level insight into the distributed execution of extremely large calculations:
Monitor and analyze the distributed execution of large-scale risk calculations, identifying performance bottlenecks and inefficiencies. Provide subject matter expertise to guide operational improvements, leveraging deep technical knowledge to recommend and implement optimizations that enhance calculation speed and resource utilization.
Plan, coordinate, and execute strategic changes to the engine to reach the next scaling milestone:
Develop and manage strategic initiatives aimed at scaling the Risk Calculation Engine to meet future business demands. Coordinate with stakeholders to ensure that all scaling efforts are aligned with customer needs.
Provide specialized customer support to optimize and improve large, distributed calculations.
Act as a primary point of contact for clients to address issues and optimize inefficiencies that arise during distributed workload execution.
Qualifications:
<ul><li>Multiple years professional software development experience with Java.
</li></ul><ul><li>Solid experience with Java frameworks (e.g., Spring, Spring Boot, Quarkus).
</li></ul><ul><li>Experience designing, building, and maintaining large-scale, distributed systems.
</li></ul><ul><li>Experience with RESTful API design and implementation.
</li></ul><ul><li>Strong understanding of object-oriented programming and design patterns.
</li></ul><ul><li>Exposure to NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
</li></ul><ul><li>Exposure to cloud platforms (e.g., AWS, Azure, GCP) and containerization (e.g., Docker, Kubernetes) is desirable.
</li></ul><ul><li>Experience with unit testing, integration testing, and test automation frameworks (e.g., JUnit, Mockito).
</li></ul><ul><li>Experience working in Agile/Scrum development environments.
</li></ul><ul><li>Practical experience with Python for scripting, automation, or data processing tasks.
</li></ul><ul><li>Experience with CI/CD pipelines and DevOps practices is a plus.
</li></ul>Education:
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
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<h2 class="jobSectionHeader">Job Family Group:
</h2>Technology
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<h2 class="jobSectionHeader">Job Family:</h2>
Applications Development
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<h2 class="jobSectionHeader">Time Type:</h2>
Full time
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<h2 class="jobSectionHeader">Most Relevant Skills
</h2>Please see the requirements listed above.
-
<h2 class="jobSectionHeader">Other Relevant Skills
</h2>For complementary skills, please see above and/or contact the recruiter.
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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.</div>

Senior Software Engineer, CalcGraphs - Vice President

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