data engineer

software engineer

machine learning engineer

senior software engineer

ai engineer

generative ai engineer

Tata Consultancy Services

<div>
 
 
 
 If you need support in completing the application or if you require a different format of this document, please get in touch with
 
 
 
 at UKI.recruitment@tcs.com
 
 
 
 or call
 
 
 
 TCS London Office number 02031552100 / +44 204 520 2575
 
 
 
 with the subject line: &ldquo;Application Support Request&rdquo;.
 
 
 
 
 
 
 
 
 
 
 
 Job Title:
 
 GenAI Adoption &ndash; Platform Engineer
 
 
 
 Job Type:
 
 Permanent
 
 
 
 Location:
 
 London
 
 
 
 Hours:
 
 40 hours per week &ndash; Full time
 
 
 
 
 
 
 
 
 
 Ready to apply your
 
 data engineering expertise to build reliable and scalable pipelines for enterprise platforms?
 
 
 
 We have an exciting opportunity for you &mdash;
 
 GenAI Adoption &ndash; Platform Engineer!
 
 
 
 
 
 
 
 Careers at TCS: It means more
 
 
 
 TCS is a purpose-led transformation company, built on belief. We do not just help businesses to transform through technology. We support them in making a meaningful difference to the people and communities they serve - our clients include some of the biggest brands in the UK and worldwide. For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
 
 <ul>
 <li>
 Gain access to continuous learning opportunities in emerging AI technologies.
 </li>
 <li>
 Be part of a collaborative engineering team delivering cutting-edge solutions.
 </li>
 <li>
 Support major organisations as they transform their data and AI capabilities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 The Role
 
 
 
 As a
 
 GenAI Adoption &ndash; Platform Engineer
 
 , you will be responsible for enabling enterprise adoption of Generative AI by designing and building scalable, cloud-native platforms for AI workloads. You will focus on reliability, automation, and multi-tenant architectures, while integrating advanced AI capabilities into enterprise systems.
 
 
 
 
 
 
 
 
 
 Your responsibilities:
 
 
 <ul>
 <li>
 Design, build, and deploy AI-powered applications using large language models and generative AI technologies.
 </li>
 <li>
 Develop and integrate solutions such as chatbots, copilots, and content generation platforms.
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge systems.
 </li>
 <li>
 Perform prompt engineering, optimisation, and evaluation of model outputs.
 </li>
 <li>
 Integrate AI APIs into enterprise applications and workflows.
 </li>
 <li>
 Deploy and manage AI applications across cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Ensure platform scalability, reliability, and performance across multiple environments.
 </li>
 <li>
 Collaborate with engineering and business teams to deliver AI-driven solutions aligned with organisational needs.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Your Profile
 
 
 
 Essential skills/knowledge/experience:
 
 <ul>
 <li>
 Strong programming skills in Python (Karat assessment clearance required).
 </li>
 <li>
 Experience in Generative AI application development using frameworks such as LangChain or LangGraph.
 </li>
 <li>
 Hands-on experience building and deploying RAG-based solutions.
 </li>
 <li>
 Experience working with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Strong understanding of cloud-native architecture and distributed systems.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desirable skills/knowledge/experience:
 
 
 <ul>
 <li>
 Broader exposure to multi-cloud environments across AWS, Azure, and GCP.
 </li>
 </ul>
 
 
 
 
 
 Rewards &amp; Benefits
 
 
 
 TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.
 
 
 We offer health &amp; wellness initiatives and sports events; we are the proud sponsor of the London Marathon.
 
 
 
 Diversity, Inclusion and Wellbeing
 
 
 
 Tata Consultancy Services UK&amp;I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998.
 
 
 We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.
 
 
 As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at
 
 UKI.recruitment@tcs.com
 
 if you would like to opt in.
 
 
 If you are an applicant who needs any adjustments to the application process or interview, please contact us
 
 at UKI.recruitment@tcs.com
 
 with the subject line: &ldquo;Adjustment Request&rdquo; or call
 
 TCS London Office 02031552100 / +44 204 520 2575
 
 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
 
 
 
 
 
 
 Next Steps:
 
 
 
 
 
 
 
 Application Process
 
 
 <ol>
 <li>
 
 Online application:
 
 You can apply directly through LinkedIn/ by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact - UKI.recruitment@tcs.com
 </li>
 <li>
 
 Skill-Based discussion:
 
 This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter.
 </li>
 <li>
 
 Managerial discussion:
 
 This discussion will focus on behavioural aspects and person-organisation fit.
 </li>
 <li>
 
 HR Discussion
 
 : This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have.
 </li>
 </ol>
 
 
 
 
 
 Beware of Fraudulent offers
 
 
 
 This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to
 
 UKI.recruitment@tcs.com
 
 to report any fraudulent activity.
 
 
 Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.
 
 
 
 Join us and do more of what matters. Apply online now.
 
 
 
 
 
</div>

Gen AI - Platform Engineer

StaffHost digital

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

AI Engineer

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
 
 
 
 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

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience. 
</li>
<li>5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.</li>
<li>5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. 
</li>
<li>5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master&rsquo;s degree or PhD in Engineering, Computer Science, or a related technical field. 
</li>
<li>5 years of experience with data structures and algorithms.</li>
<li>3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will be at the forefront of applying Google's Generative AI to solve real-world issues for our customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product developing teams and customer needs, directly accelerating customer success and shaping the future of our AI products.
The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Partner directly with customers to understand their business issues. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.</li>
<li>Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization.</li>
<li>Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues. 
</li>
<li>Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies. 
</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer, Applied AI, Agent Building, Google Cloud Platform

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

Software Engineer, AI Native Development

Elixirr Digital

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

Explore 635+ Generative ai engineer in London this July. Find roles across top companies and apply now to boost your career.

635 generative ai engineer jobs In London

Gen AI - Platform Engineer

AI Engineer

AI Engineer at StackOne

Software Engineer, Applied AI, Agent Building, Google Cloud Platform

Senior AI Engineer

Software Engineer, AI Native Development

AI Engineer