software engineer

ai engineer

senior software engineer

senior ai engineer

full stack engineer

ai enabled full stack engineer

National Grid

<div><div><div><div><div><div><div>Team</div>
<div><b>Information Technology and Digital</b>
</div><div>Business Unit</div>
<div><b>IT and Digital</b>
</div><div>Requisition No.</div>
<div><b>10530</b>
</div><div><div>City</div>
<div><b>London, GB, WC1A 2TH</b>
</div><div><b>Warwick, GB, CV34 6DA</b>
</div></div><div>Date posted</div>
<div><b>27 August 2026</b></div></div></div><p></p><div><br>
</div></div><div></div><div><h1 class="jobSectionHeader"><b>Senior AI Full Stack Engineer</b></h1><div><div><div><div><br>
</div><div><p>At National Grid, we keep people connected and society moving. But it&rsquo;s so much more than that. National Grid supplies us with the environment to make it happen. As we generate momentum in the energy transition for all, we don&rsquo;t plan on leaving any of our customers in the dark. So, join us as a <b>Senior AI Full Stack Engineer </b>and find your superpower.</p>
<p>This is a senior design role for someone who can operate across product design, AI-assisted delivery, strategic discovery and hands-on product development. The role is not limited to producing design artefacts or handing over designs to engineering. It is expected to work directly with product owners, engineers, data teams and senior stakeholders to turn ambiguous strategic intent into usable, valuable and deliverable product experiences.</p>
<p>An immediate focus for the role is the Strategic Review platform: National Grid&rsquo;s internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a proof-of-concept Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer that will support analysis and chat against underlying data.</p>
<p>The Senior AI Product Designer will be responsible for the design quality, user experience and interaction model of these AI-enabled products. They will work across discovery, prototyping, interface design, design-system alignment, AI interaction design, and &mdash; where appropriate &mdash; AI-assisted front-end implementation. The role is expected to help collapse the gap between design intent and working software, using AI tools to move quickly from concept to tested, usable product experiences.</p>
<p>This role is for someone who can operate with senior autonomy: absorbing ambiguous problems, shaping them into clear product direction, creating high-quality design outputs, and partnering closely with engineering to make sure what is shipped is not only functional, but genuinely usable and valuable.</p>
<p><b>This role operates under a hybrid working model and is based out of the Warwick,UK office. Hybrid work expectations are subject to business needs and company polic</b></p>
</div></div><div><div><h3 class="jobSectionHeader"><b>Job Purpose</b></h3>
</div><div><p>We are looking for an AI Engineer to help design, build and operate AI-enabled internal products and platforms across National Grid.</p>
<p>This is a hands-on senior engineering role for someone who can move confidently between modern web application development and applied AI engineering. The role is not focused solely on model development or experimentation. It is responsible for turning AI capabilities into secure, maintainable and production-ready products that solve real organisational problems.</p>
<p>An immediate focus is the Strategic Review platform: National Grid's internal tool for programme visibility, strategic initiative tracking and executive-level data storytelling. The platform includes a Connections Dashboard moving toward production, a financial reporting capability being scoped, and an evolving AI layer supporting analysis and conversational access to underlying data.</p>
<p>The AI Engineer will develop this AI layer and the wider product capabilities around it. This includes building chat interfaces, agentic workflows, tool integrations, structured outputs, retrieval and grounding mechanisms, evaluation frameworks, observability, and appropriate human-in-the-loop controls.</p>
<p>The role requires strong experience with TypeScript, React and modern full-stack web development. Experience with the Vercel AI SDK is particularly valuable, including streaming interfaces, tool calling and agent orchestration. Payload CMS experience is a significant advantage because it is used extensively across the platform.</p>
<p>This role is for someone who can operate with senior autonomy: understanding ambiguous requirements, shaping sound technical approaches, delivering high-quality software and working closely with product, design, data, architecture and security teams to take AI products from proof of concept into production.</p>
</div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Do
</b></h3></div><div><div><h4 class="jobSectionHeader"><b>AI Product Development</b></h4>
<ul><li>Design and develop full-stack AI applications using TypeScript, React, and modern web technologies.</li>
<li>Build conversational interfaces with streaming responses, intuitive user experiences, and robust error handling.</li>
<li>Develop AI solutions using frameworks such as Vercel AI SDK, LangGraph, LangChain, or similar platforms.</li>
<li>Translate business requirements into scalable, maintainable technical solutions.</li>
<li>Create reusable patterns for AI chat, workflow automation, content generation, and analytics.</li>
<li>Integrate AI capabilities into existing products and business processes.</li>
<li>Ensure high standards of performance, security, accessibility, maintainability, and code quality.</li>
</ul><h4 class="jobSectionHeader"><b>Agentic Systems &amp; Conversational AI</b></h4>
<ul><li>Design and implement AI agents capable of multi-step reasoning, tool selection, and workflow execution.</li>
<li>Develop integrations with enterprise applications, APIs, and approved data sources.</li>
<li>Define agent state, memory, context management, validation rules, retry logic, and failure handling.</li>
<li>Implement human-in-the-loop approval processes for sensitive or high-impact actions.</li>
<li>Ensure transparency through source attribution, execution tracking, and auditability.</li>
</ul><h4 class="jobSectionHeader"><b>AI Quality, Evaluation &amp; Observability</b></h4>
<ul><li>Develop evaluation frameworks, test datasets, and quality metrics for AI features.</li>
<li>Monitor answer quality, groundedness, tool usage, latency, output accuracy, and operational cost.</li>
<li>Implement logging, tracing, monitoring, and observability capabilities for AI workflows.</li>
<li>Continuously improve prompts, models, tools, and workflows through data-driven feedback.</li>
<li>Manage prompts, model configurations, and evaluation criteria as version-controlled assets.</li>
</ul><h4 class="jobSectionHeader"><b>Data &amp; Integration</b></h4>
<ul><li>Integrate AI capabilities with structured and unstructured enterprise data sources.</li>
<li>Implement retrieval, grounding, and context-engineering strategies to improve response quality.</li>
<li>Build secure integrations with APIs, content management systems, data platforms, and business applications.</li>
<li>Ensure compliance with data security, authorization, governance, and audit requirements.</li>
<li>Support source attribution, data lineage, and information freshness controls.</li>
</ul><h4 class="jobSectionHeader"><b>Engineering &amp; Delivery</b></h4>
<ul><li>Write clean, tested, maintainable code following established engineering standards.</li>
<li>Participate in architecture reviews, technical design discussions, and code reviews.</li>
<li>Implement automated testing across applications, integrations, and AI workflows.</li>
<li>Support continuous delivery while managing technical debt and maintaining enterprise standards.</li>
<li>Establish best practices for AI-assisted development tools, including GitHub Copilot, Claude Code, and related platforms.</li>
</ul><h4 class="jobSectionHeader"><b>Collaboration &amp; Leadership</b></h4>
<ul><li>Partner with Product, Design, Architecture, Security, Data, and Engineering teams.</li>
<li>Provide technical expertise throughout discovery, design, development, testing, deployment, and adoption.</li>
<li>Communicate technical recommendations, trade-offs, and risks to stakeholders.</li>
<li>Mentor engineers and contribute to AI engineering standards and best practices.</li>
<li>Help establish scalable frameworks for enterprise AI product delivery.</li>
</ul></div></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get
</b></h3></div><div><ul><li>Proven experience as a senior Software Engineer, AI Engineer, Full-Stack Engineer or equivalent, delivering complex digital products.</li>
<li>Strong professional experience with TypeScript and React.</li>
<li>Experience building modern full-stack web applications using frameworks such as Next.js.</li>
<li>Practical experience building AI-enabled product features, not only isolated model experiments or notebooks.</li>
<li>Experience with the Vercel AI SDK or comparable AI application frameworks.</li>
<li>Experience building conversational or chatbot interfaces, including streaming responses and interaction-state management.</li>
<li>Understanding of agentic systems, tool calling, structured outputs and multi-step AI workflows.</li>
<li>Experience integrating large language models with application data and external services.</li>
<li>Ability to design clear boundaries between deterministic code and model-driven behaviour.</li>
<li>Strong understanding of API design, authentication, authorisation and secure data handling.</li>
<li>Experience testing and debugging asynchronous, distributed or integration-heavy application behaviour.</li>
<li>Understanding of AI evaluation, observability, grounding and common failure modes.</li>
<li>Ability to translate ambiguous product requirements into sound technical designs and working software.</li>
<li>Strong engineering judgement, including the ability to balance delivery speed with maintainability and operational risk.</li>
<li>Comfortable working in a fast-moving, cross-functional team where product, design and engineering decisions are made collaboratively.</li>
<li>Clear written and verbal communication with both technical and non-technical audiences.</li>
<li>High degree of autonomy and ownership from discovery through production support.</li>
</ul></div></div><div><div><h3 class="jobSectionHeader"><b>What You'll Get</b></h3>
</div><div><ul><li>Competitive Salary: circa &pound;65,000 - &pound;80,000 per annum (dependent on location, capability, and experience).</li><br>
</ul><p><br>
<b>Additional benefits:</b><br>
<br>
</p><ul><li>Flexible benefits such as a cycle scheme, share incentive plan, technology schemes</li>
<li>Ongoing career development and support to help you cover the cost of professional membership subscriptions, course fees, books, examination fees and time off for study leave &ndash; so long as it is relevant to your role</li>
<li>Access to apps such as digital GP service for round the clock access to GP video consultations and NHS repeat prescriptions, wellbeing app to support your health and fitness</li>
<li>Access to Work + Family Space, providing support and resources for work and family life, including paid emergency childcare and eldercare</li>
</ul><p>#LI-RK1 #LI-HYBRID</p>
</div></div></div><p>We value diversity and are committed to creating an inclusive workplace for all. We welcome applications from all suitably qualified candidates &ndash; we make appointments purely on merit, assessed against objective selection criteria. We support flexible working and will make reasonable adjustments throughout the recruitment process should you have any physical or mental impairment which may affect your ability to participate in the process.</p>
<p>Please note that in most cases, National Grid is unable to offer sponsorship for employment under the UK points-based immigration system. As such, applicants must have the legal right to work in the UK without requiring sponsorship now or in the future under the UK points-based immigration system. However, in exceptional circumstances where there is a clear and demonstrable need for specialist skills that cannot be sourced from the local labour market, National Grid may consider offering sponsorship. All applications are welcome from candidates who meet these requirements, regardless of race, nationality, or ethnic origin.</p></div></div></div></div></div><div></div>

Senior AI Full Stack Engineer

NatWest Group

<div><p>Closing date for applications: 02/09/2026</p>
<div>
<div><p>Location London, United Kingdom</p>
</div><div><p>Job typePermanent | Contract typeFull Time</p>
</div><div><div><p>Mostly Remote</p>
<p></p><div><div><p>You&rsquo;ll spend most of your time at home, working with your team digitally. You&rsquo;ll come into an office or hub at least twice a month to collaborate with your colleagues.</p>
</div></div></div></div><div><div><p>Managerial / Technical Lead</p>
<p></p><div><div><p>This is a general indication and doesn&rsquo;t always reflect day-to-day responsibilities. Check the job description for full details.</p>
</div></div></div></div></div><p>#R-00283247</p><br>
<div></div>
<p></p><div>
</div><div><div><div><h2 class="jobSectionHeader"><b>Join our digital revolution in NatWest Digital X</b></h2>
<p>In everything we do, we work to one aim. To make digital experiences which are effortless and secure.</p>
<p>So we organise ourselves around three principles: engineer, protect, and operate. We engineer simple solutions, we protect our customers, and we operate smarter.</p>
</div></div><div></div><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<p>This role is based in the United Kingdom and as such all normal working days must be carried out in the United Kingdom.</p>
<p></p><div><p>Join us as a DevOps Engineer, Network Automation</p>
<p></p><ul><li>We&rsquo;re looking for a DevOps Engineer to join our Network Automation team, helping design, build and operate automation capabilities that make network and infrastructure services faster, safer and more reliable</li>
<li>You&rsquo;ll work across automation, infrastructure-as-code and network-as-code practices, supporting secure, compliant and auditable change within a highly regulated financial services environment</li>
<li>This is your opportunity to deepen your expertise across modern automation, cloud-native platforms and AI-enabled engineering while working on business-critical infrastructure</li>
</ul><p></p><h2 class="jobSectionHeader"><b>What you'll do</b></h2>
<p></p><p>As a DevOps Engineer, you&rsquo;ll help develop and enhance automation patterns, pipelines and tools that support network and infrastructure services from concept through to operational support. Working closely with engineers, platform teams and service owners, you&rsquo;ll build reusable automation, improve delivery efficiency and embed DevOps best practice across the engineering lifecycle.</p>
<p></p><p>You&rsquo;ll also be:</p>
<p></p><ul><li>Designing, building and maintaining network and infrastructure automation using modern DevOps practices</li>
<li>Delivering automation through code-based CI/CD pipelines, with GitLab experience helping you hit the ground running</li>
<li>Applying infrastructure-as-code and network-as-code principles to create repeatable, controlled and auditable delivery patterns</li>
<li>Embedding security, compliance and risk controls into automation and pipeline design</li>
<li>Supporting automated change, incident and operational workflows, including ServiceNow integration where appropriate</li>
<li>Working with container platforms such as OpenShift or Kubernetes to support automation services and workloads</li>
<li>Exploring practical uses of AI-enabled tooling and workflows to improve operational efficiency, engineering productivity and service reliability</li>
</ul><p></p><h2 class="jobSectionHeader"><b>The skills you'll need</b></h2>
<p></p><p>We&rsquo;re looking for someone with hands-on engineering experience, a strong automation mindset and a solid understanding of enterprise networking. You&rsquo;ll be comfortable working in a DevOps environment where quality, security and operational resilience are built into every stage of delivery. You&rsquo;ll also bring experience of network automation within large-scale financial services or other regulated environments.</p>
<p></p><p>You'll also need experience using AI-enabled tooling to improve engineering outcomes, and scripting capability in Python and Shell for automation workflows, integrations and operational tooling, along with hands-on experience with Ansible and Ansible Automation Platform for network and infrastructure automation at scale.</p>
<p></p><p>You&rsquo;ll also demonstrate:</p>
<ul><li>Experience delivering automation through code-based CI/CD pipelines, with knowledge of GitLab, Jenkins, Azure DevOps or similar platforms</li>
<li>Solid understanding of enterprise networking concepts, including DNS, LDAP, load balancing and traffic management</li>
<li>Ability to embed security practices into CI/CD pipelines so changes are compliant, auditable and risk-aware.</li>
<li>Familiarity with ServiceNow or similar IT service management tooling for change, incident and workflow automation</li>
<li>Experience with OpenShift, Kubernetes or similar container for deployment and workload management</li>
</ul></div><div>
</div></div></div><div><div><div><div><h2 class="jobSectionHeader"><b>Your benefits breakdown</b></h2>
<p>Here&rsquo;s a quick look at what your pay package and annual leave could look like if you get accepted for the role. We have a wide range of benefits to support you in your working life and beyond.</p>
<p>Tap each segment for details.</p>
</div><div><div><h3 class="jobSectionHeader"><b>Your pay package</b></h3>
<div><p>100% Base pay This is your base pay package that you take home every month.</p> <p>+10% Pension funding This is monthly funding paid towards your pension.</p> <p>up to +10% Benefit funding This is monthly funding paid towards a range of benefits you can choose from.</p>
</div></div></div><div><div><h3 class="jobSectionHeader"><b>Your leave allowance</b></h3>
<div><p>30 days Annual leave You&rsquo;ll also have the opportunity to purchase up to 5 additional days off.</p> <p>3 days Volunteering Take time off to support the causes you&rsquo;re passionate about.</p> <p>3 days Training Take time to build the skills you need to grow your career.</p>
</div></div></div></div><div><div><div><h3 class="jobSectionHeader"><b>Total rewards package</b></h3><br>
<p></p>
</div><div>
</div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>Welcome to our Bishopsgate hub</b></h2>
<p>Based only a few minutes&rsquo; walk from Liverpool Street Station, the central location of this office makes working there incredibly convenient. Everything you need is close by, so you can run errands, go to the gym, and socialise with friends and colleagues before and after work.</p>
<p>Bishopsgate recently underwent a multi-year refurbishment programme to improve spaces and facilities as well as become more sustainable.</p>
</div></div></div></div></div></div><p></p><div><div><div><div><h3 class="jobSectionHeader"><b>Our tech stack</b></h3>
<p>Here&rsquo;s just some of the technologies we use.</p>
</div><div><h3 class="jobSectionHeader"><b>Front end</b></h3>
<div><ul><li>JavaScript</li>
<li>ReactJS</li>
<li>AngularJS</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Back end</b></h3>
<div><ul><li>Python</li>
<li>Java</li>
<li>Microsoft Dynamics</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>DevOps</b></h3>
<div><ul><li>AWS</li>
<li>GitLab</li>
<li>Google Cloud Platform</li>
</ul></div></div><div><h3 class="jobSectionHeader"><b>Data</b></h3>
<div><ul><li>Kafka</li>
<li>Hadoop</li>
<li>PostgreSQL</li>
<li>Snowflake</li></ul></div></div></div></div></div></div>

DevOps Engineer, Network Automation

Annapurna

<div>
 Data &amp; AI Engineer
 <br/>
 <br/>
 <p>
  Our client is seeking a pragmatic, hands-on Data &amp; AI Engineer to design, build, and operate AI-powered applications and agents that solve real business problems. You'll join our client's team to enhance existing AI solutions, create new AI capabilities that improve workflows and decision-making, and work closely with business stakeholders and engineers to embed domain expertise into robust, production-grade AI systems.
  <br/>
  <br/>
 </p>
 Key Skills &amp; Experience
 <br/>
 <br/>
 <ul>
  <li>
   <strong>
    Python software development
   </strong>
   - Strong, production-level coding skills to build reliable, maintainable AI services.
  </li>
  <li>
   <strong>
    End-to-end software delivery
   </strong>
   - Experience designing, building, testing, deploying, and operating production-grade systems.
  </li>
  <li>
   <strong>
    AI/LLM application development
   </strong>
   - Hands-on experience creating AI or LLM-based applications used by real users, not just experimenting with consumer tools.
  </li>
  <li>
   <strong>
    AI system lifecycle
   </strong>
   - Exposure to prototyping, data preparation, evaluation, deployment, monitoring, and continuous improvement of AI systems.
  </li>
  <li>
   <strong>
    AI evaluation and metrics
   </strong>
   - Ability to design and run evaluations, and measure model/agent quality, reliability, safety, and business impact.
  </li>
  <li>
   <strong>
    Working with multiple model providers
   </strong>
   - Understanding of different model families, trade-offs in latency, cost, context limits, and deployment constraints.
  </li>
  <li>
   <strong>
    Prompt and agent design
   </strong>
   - Experience treating prompts and agent instructions as versioned, testable software artifacts.
  </li>
  <li>
   <strong>
    Systems integration
   </strong>
   - Integrating AI with APIs, enterprise applications, data platforms, and both structured and unstructured data.
  </li>
  <li>
   <strong>
    Advanced AI techniques
   </strong>
   - Familiarity with retrieval-augmented generation, tool calling, structured outputs, agent orchestration, and workflow automation.
  </li>
  <li>
   <strong>
    Model adaptation foundations
   </strong>
   - Understanding when to use prompting, retrieval, fine-tuning, and how to prepare and evaluate data and models for post-training.
  </li>
  <li>
   <strong>
    Business and data understanding
   </strong>
   - Ability to grasp complex workflows, rules, and processes, and translate them into AI-enabled solutions.
  </li>
 </ul>
</div>


Data & AI Engineer

BigHand

<div><h5 class="jobSectionHeader"><b>About BigHand</b></h5><p><br>
BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency, better decision-making and harness their competitive edge.</p><p>
We build with tomorrow in mind, transforming ideas into action and empowering our customers to succeed in a world of constant change. We make big happen for our customers.</p><p>
We are a business driven by our values and have these at the centre of everything we do. Our BigHanders are dedicated to building a culture where We Win Together, We Love to Learn, We Do the Right Thing, We Own It and We Find the Fun.</p><h5 class="jobSectionHeader"><b><br>
About the role</b></h5><p><br>
BigHand builds software that legal organisations rely on every day. We are looking for a Full-Stack Engineer to help us design and ship our Matter Pricing products after our acquisition of Ayora AI, where a clean, considered user interface meets genuinely intelligent behaviours underneath.</p><div><p>
This is a hands-on role for a Full-Stack Software Engineer who wants their work in production rather than as proof of concept. You will build the conventional and agentic AI experiences that showcase the product, contribute to how problems are framed as well as how they are solved, and take real ownership of the quality of what we release.</p></div><h5 class="jobSectionHeader"><b><br>
What you&rsquo;ll do<br>
</b><br>
</h5><ul><li><p>Build and ship features end to end, from interface through to backend services and data.</p></li><li><p>
Design clean, minimal user experiences with close attention to detail, working alongside design and product.</p></li><li><p>
Explore and apply agentic AI and LLM capabilities where they meaningfully improve the product and work safely and efficiently with agentic engineering systems.</p></li><li><p>
Contribute to technical discussion and help refine requirements rather than simply consuming them.</p></li><li><p>
Deliver consistently within a collaborative agile framework, with a track record of predictable, high-quality output.</p></li><li><p>
Develop well-constructed solutions using the best tools available, avoiding fragile shortcuts taken for short-term speed or to sidestep discussion.</p></li><li><p>
Apply modern software development lifecycle practices, including code review, testing and continuous delivery.</p></li></ul><h5 class="jobSectionHeader"><b>
What we&rsquo;re looking for<br>
</b><br>
</h5><ul><li><p>Strong TypeScript and React skills, with competency in at least one of our core backend languages (Python and/or Go) or a highly transferable equivalent.</p></li><li><p>
At least three years of commercial work experience.</p></li><li><p>
An analytical background, evidenced by a STEM degree in a technical subject. Physical sciences or mathematics are preferred.</p></li><li><p>
Interest and practical experience with agentic AI and LLMs, and with the intersection between conventional UI and agentic processes.</p></li><li><p>
Experience working safely and efficiently with agentic engineering systems.</p></li><li><p>
Experience with design and UX, with a keen eye for detail and for minimalist, clean interfaces.</p></li><li><p>
A solid understanding of modern software development lifecycle practices.</p></li><li><p>
The ability to navigate typical problems independently, contribute to discussion and help shape technical requirements.</p></li></ul><div><div><p><b><br>
Desirable</b></p></div><div><ul><li><p><br>
An insatiable appetite for learning and for acquiring new knowledge, skills and experience.</p></li><li><p>
Comfort operating independently on both existing and new systems while preserving and improving a consistent project structure.</p></li><li><p>
A positive force in building the team as we grow and develop into more senior positions.</p></li><li><p>
A habit of introducing new technology and practices that accelerate the team, for example through lunch and learn sessions.</p></li><li><p>
Exposure to our DevOps stack: AWS, Terraform and GitLab CI.</p></li><li><p>
Experience in the legal industry or another regulated environment such as health or financial services.</p></li><li><p>
Experience working directly with customers.</p></li></ul></div></div><h5 class="jobSectionHeader"><b><br>
What</b><b> we offer</b></h5><ul><li><p>
25 days holiday (exc. bank holidays) + 3 BigHand days off between Christmas &amp; New Year</p></li><li><p>
Various wellbeing benefits including private medical, vision, online wellbeing programs &amp; webinars, access to online therapy and Employee Resource Groups (ERG)</p></li><li><p>
Company-wide Wellness day, for our teams all across the globe to switch off and spend the day doing something to nourish their mental health</p></li><li><p>
Opportunities to give back with company volunteer events and individual volunteer days</p></li><li><p>
Career growth opportunities and study leave allowance</p></li><li><p>
Family benefits including enhanced parental leave, secondary caregiver leave and fertility support</p></li><li><p>
Financial benefits including pension scheme, life assurance, and salary sacrificing</p></li><li><p>
Cycle to Work Scheme and Tech Scheme</p></li><li><p>
Growing business with a global presence, flexible working, modern offices, and remote work options</p></li></ul><h5 class="jobSectionHeader"><b><i>
Our </i></b><b><i>DEI Commitment</i></b></h5><p><i>
We welcome the unique value and individuality that you can bring to BigHand. We are an equal opportunity employer and are dedicated to recruiting solely based on capability and potential regardless of race, gender, sexual orientation, gender identity or expression, age, educational background, national origin, religion, military status or physical ability. Our BigHanders are dedicated to advancing our culture of belonging by embracing differing viewpoints, opinions, thoughts, and ideas.</i></p></div>

Software Engineer

Scale AI

<div>
 AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we&rsquo;re accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP).
 <br/>
 <br/>
 The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you&rsquo;ll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you&rsquo;ll use to improve your product&rsquo;s performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you!
 <br/>
 <br/>
 <strong>
  You will:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own, plan, and optimize the AI behind our Enterprise customer&rsquo;s deepest technical problems
  </li>
  <li>
   Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more
  </li>
  <li>
   Have experience gathering business requirements and translating them into technical solutions
  </li>
  <li>
   Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs
  </li>
  <li>
   Push production code in multiple development environments, writing and debugging code directly in both our customer&rsquo;s and Scale&rsquo;s codebases
  </li>
  <li>
   Be able and willing to multi-task and learn new technologies quickly
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Ideally you'd have:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client&rsquo;s business goals
  </li>
  <li>
   Strong engineering background: a Bachelor&rsquo;s degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background.
  </li>
  <li>
   Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results
  </li>
  <li>
   Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment
  </li>
  <li>
   Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Nice to haves:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong knowledge of software engineering best practices
  </li>
  <li>
   Have built applications taking advantage of Generative AI in real, production use cases
  </li>
  <li>
   Familiarity with state of the art LLMs and their strengths/weaknesses
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  <em>
   PLEASE NOTE:
  </em>
 </strong>
 <em>
  Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
  <br/>
  <br/>
 </em>
 <strong>
  About Us:
  <br/>
  <br/>
 </strong>
 <em>
  At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta,
 </em>
 <em>
  Ernst
 </em>
 <em>
  &amp;
 </em>
 <em>
  Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
  <br/>
  <br/>
 </em>
 <em>
  We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
  <br/>
  <br/>
 </em>
 <em>
  We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 </em>
 <em>
  Know Your Rights poster
 </em>
 <em>
  for additional information.
  <br/>
  <br/>
 </em>
 <em>
  We comply with the United States Department of Labor's
 </em>
 <em>
  Pay Transparency provision
 </em>
 <em>
  .
  <br/>
  <br/>
 </em>
 <em>
  <strong>
   PLEASE NOTE:
  </strong>
  We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 </em>
</div>


Frontier Agents Engineer

Sharegain

<div>
 <p>
  <strong>
   About Us
  </strong>
 </p>
 <p>
  Sharegain began with one question: If the largest institutions solely exercise the right to lend their stocks, bonds, and ETFs, what would it take to unlock this revenue opportunity for every investor?
 </p>
 <p>
  Our team of experts in the UK, US and Israel built the solution: a platform that empowers online brokers, private banks, and wealth managers to offer securities lending to their clients. We call it SLaaS: Securities Lending as a Service. It&rsquo;s a fully digital, customizable, end-to-end solution that automates front- and back-office operations. Institutions and investors are now free to earn more from what they own.
 </p>
 <p>
  Every Sharegainer has their own backstory, but we all share an ambition to do things differently &ndash; bigger, better, and greater. Together we&rsquo;re on a mission to democratize capital markets by building a more liquid world. The more we share, the more we all gain.
 </p>
 <p>
  <strong>
   About The Role
  </strong>
 </p>
 <p>
  We are looking for an experienced AI Engineer to join our R&amp;D team. You will be delivering scalable web applications from idea to production, taking care of all aspects of software development &ndash; from technologies and security to scalability and reliability.
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   End-to-end ownership of AI &amp; agent systems: take full ownership of your features from architecture and design through to implementation and production, including AI-native features such as autonomous agents and intelligent workflows. Own the full model quality lifecycle from experimentation through to production monitoring and improvement.
  </li>
  <li>
   Cloud infrastructure: be part of the design, maintenance, monitoring, and troubleshooting of our cloud applications.
  </li>
  <li>
   Technical excellence: drive technical excellence, high product quality, innovation, and timely delivery in a production-critical environment.
  </li>
  <li>
   Translate business needs into concrete system architecture and implement it end-to-end across the stack
  </li>
 </ul>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   6+ years of software development experience
  </li>
  <li>
   Proven LLM experience: write, optimize, and measure the effectiveness of AI prompts and applications. Rapidly experiment with models, prompts, and architectures using structured evaluation to identify the best solutions, and translate cutting-edge LLM capabilities into reliable, production-grade systems.
  </li>
  <li>
   Strong software engineering fundamentals: SOLID, TDD, version control systems (Git/GitHub/GitLab), and the ability to write production-ready code
  </li>
  <li>
   Deep understanding of Computer Science fundamentals: data structures, algorithms, performance complexity, and implications of computer architecture on software performance
  </li>
  <li>
   Familiarity with software architecture patterns such as microservices, CQRS, and event sourcing
  </li>
  <li>
   Experience with at least one major cloud provider (AWS, Azure, or GCP)
  </li>
  <li>
   Experience with Kubernetes and Docker containers
  </li>
  <li>
   Experience designing and building microservices architecture
  </li>
  <li>
   A team player with a positive attitude and a problem-solver mindset
  </li>
 </ul>
</div>


AI Software Engineer

Moss

<div><p><b>At Moss, we give finance professionals the power to automate their day-to-day and make forward-thinking decisions.</b></p><p><b>
Our team and culture make us unique &mdash; we&rsquo;re driven by impact and growth, where every one of us strives to learn and excel. Recognised by </b><b>Sifted&rsquo;s Rising 100</b><b> and </b><b>LinkedIn's Top Startups</b><b>, we&rsquo;re here to help propel your career and together, make Moss a lasting success.</b></p><p>
We are hiring an Applied AI Engineer to design, build, and deploy AI-powered products that transform how finance teams work. You will work with frontier language models to create intelligent services, agents, and workflows that deliver real customer value.</p><p></p><h2 class="jobSectionHeader"><b>
Your Responsibilities</b></h2><p></p><h3 class="jobSectionHeader"><b>
Build AI-Powered Products</b></h3><ul><li><p>
Design, develop, and deploy AI-enabled applications and services using state-of-the-art language models.</p></li><li><p>
Build intelligent agents and workflows that automate complex finance processes.</p></li><li><p>
Experiment with new AI capabilities and rapidly turn prototypes into production-ready features.</p></li></ul><h3 class="jobSectionHeader"><b>
Evaluate and Improve AI Systems</b></h3><ul><li><p>
Develop robust evaluation frameworks to measure quality, reliability, and business impact.</p></li><li><p>
Improve model performance through prompt engineering, retrieval-augmented generation (RAG), and other applied AI techniques.</p></li><li><p>
Ensure AI systems are accurate, trustworthy, and deliver a high-quality user experience.</p></li></ul><h3 class="jobSectionHeader"><b>
Design for Trust and Control</b></h3><ul><li><p>
Build AI systems that are transparent, auditable, and allow users to review and intervene when needed.</p></li><li><p>
Incorporate customer data into AI workflows while maintaining security and privacy standards.</p></li></ul><h3 class="jobSectionHeader"><b>
Collaborate Across Functions</b></h3><ul><li><p>
Partner closely with product managers, designers, engineers, and finance experts to deliver customer-facing AI solutions.</p></li><li><p>
Help shape Moss's AI product strategy and engineering best practices.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About You</b></h2><ul><li><p>
Degree in Computer Science, Mathematics, Engineering, or a related field.</p></li><li><p>
Minimum 4 years of professional engineering experience building and shipping production applications.</p></li><li><p>
Proven experience working with modern LLMs and AI application development.</p></li><li><p>
Strong programming skills in both Python and Java.</p></li><li><p>
Experience building backend services and APIs.</p></li><li><p>
Hands-on experience with AI agents, RAG systems, prompt engineering, or related applied AI techniques.</p></li><li><p>
Ability to balance rapid experimentation with production-quality engineering.</p></li><li><p>
Excellent problem-solving and communication skills.</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
Relevant Technologies</b></h2><p>
Candidates should have experience with a subset of the following technologies and be eager to learn others.</p><h3 class="jobSectionHeader"><b>
AI &amp; Machine Learning</b></h3><ul><li><p>
Frontier LLMs: OpenAI, Anthropic, Gemini, Llama, Mistral, or similar</p></li><li><p>
Agent and orchestration frameworks: LangChain, LlamaIndex, Haystack, or similar</p></li><li><p>
Retrieval-Augmented Generation (RAG)</p></li><li><p>
Prompt engineering and evaluation methodologies</p></li><li><p>
Fine-tuning and model adaptation techniques</p></li></ul><h3 class="jobSectionHeader"><b>
Software Engineering</b></h3><ul><li><p>
Python and Java</p></li><li><p>
REST APIs and backend application development</p></li><li><p>
SQL and modern data storage technologies</p></li><li><p>
Distributed systems and scalable application design</p></li></ul><h3 class="jobSectionHeader"><b>
Nice to Have</b></h3><ul><li><p>
Experience building customer-facing AI products</p></li><li><p>
Experience in fintech, finance, or enterprise software</p></li><li><p>
Experience with cloud-based AI platforms such as Vertex AI, OpenAI, or Anthropic APIs</p></li></ul><p><b>
About Moss</b></p><p>
Moss is the Finance AI platform for Europe's mid-sized businesses, giving companies real-time visibility and full control over their spend. By automating card issuing, invoice management and expenses, Moss simplifies financial workflows and frees finance and accounting teams from manual, administrative work.
</p><p>Founded in Berlin and used by more than 5,000 businesses including Flink, Schufa, Gusto and Auto1, Moss has raised &euro;200+ million to date and operates in Germany, the Netherlands, the UK and further EU markets. Moss is backed by the most renowned tech investors including Valar Ventures, Tiger Global, Global Founders Capital, Cherry Ventures, A-Star and Portage.</p><p>
We have a team of 300+ people from 50+ nationalities in 5 offices across Europe. Be part of a culture that thrives on impact and speed, where you can take bold moves, learn fast and accomplish more. We&rsquo;re a place where you can fast track your career - here's <b>what else to expect:</b></p><ul><li><p>
Top-of-market compensation package, including equity.</p></li><li><p>
Our vibrant offices are at the heart of our culture, where in-person time fuels collaboration and connection over weekly breakfasts and Friday demos.</p></li><li><p>
Additional benefits include: 20 days &ldquo;work from abroad&rdquo;, 600EUR/GBP Learning &amp; Development Budget, and other local benefits.</p></li></ul><p><i>
Unless stated otherwise, benefits apply to full-time positions (interns and working students receive a tailored package).</i></p><p><b><i>
By applying for the above position, you will confirm that you have reviewed and agreed to our </i></b><b><i>Data Privacy Policy</i></b><b><i>.</i></b></p></div>

Applied AI Engineer

Explore 188+ Ai enabled full stack engineer in London this August. Find roles across top companies and apply now to boost your career.