software engineer

ai engineer

senior software engineer

senior data engineer

senior platform engineer

senior information security engineer

Synapri

<div><p><b>Salary: </b>Up to &pound;120,000 + Bonus &amp; Excellent Benefits
</p><p><b>The Opportunity
</b></p><p>We are seeking a <b>Senior AI Security Engineer </b>to join a leading global financial institution, working on the development and security of the organisation's next-generation <b>Generative AI and LLM-based applications </b>.
</p><p>This is a specialist engineering role focused on designing, developing and enhancing a <b>GenAI prompt security platform </b>, helping protect enterprise AI applications from <b>prompt injection, adversarial attacks and emerging AI security threats </b>.
</p><p>You will work closely with Engineering, Cyber Security and Operations teams across the organisation to build secure, scalable solutions and automated security testing capabilities for a range of LLM use cases.
</p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop, optimise and enhance a <b>GenAI prompt security platform </b>.
</li><li>Build and automate <b>security testing frameworks </b>to validate protection mechanisms across different LLM use cases.
</li><li>Develop security controls and solutions to protect against <b>prompt injection and adversarial attacks </b>.
</li><li>Design and implement <b>secure APIs and reusable security libraries </b>.
</li><li>Contribute to the architecture and design of enterprise AI security solutions.
</li><li>Ensure solutions are designed to operate reliably and securely at <b>enterprise scale </b>.
</li><li>Contribute to system architecture, design patterns, scalability and reliability.
</li><li>Work closely with Engineering, Cyber Security and Operations stakeholders across global teams.
</li><li>Support the development of <b>AI security standards and best practices </b>across the organisation.
</li></ul><p><b>Key Requirements
</b></p><ul><li><b>7+ years of relevant industry experience </b>in software engineering or a related technical discipline.
</li><li>Strong programming experience with <b>Python and/or Go </b>.
</li><li>Strong experience designing and implementing <b>secure APIs and enterprise software solutions </b>.
</li><li>Background in <b>Cyber Security Engineering, DevSecOps or MLSecOps </b>.
</li><li>Experience with <b>Generative AI, LLM frameworks, prompt engineering and/or adversarial testing </b>.
</li><li>Experience contributing to enterprise <b>architecture and system design </b>.
</li><li>Strong understanding of security, reliability, scalability and enterprise software development.
</li><li>Experience working with <b>containerised environments </b>, such as Kubernetes or OpenShift.
</li><li>Experience delivering solutions across large and complex enterprise environments.
</li><li>Strong communication, stakeholder management and problem-solving skills.
</li></ul><p><b>What's on Offer
</b></p><ul><li>Salary of <b>up to &pound;120,000 + Bonus + Excellent Benefits Package </b>.
</li><li>Hybrid working in London.
</li><li>Opportunity to work on <b>next-generation AI security technology </b>within a global investment banking environment.
</li><li>Exposure to large-scale <b>Generative AI, LLM and Cyber Security transformation </b>.
</li><li>Opportunity to help shape AI security capabilities across a global organisation.
</li></ul><p>If you are an experienced <b>AI Security Engineer, Cyber Security Engineer, Software Security Engineer or DevSecOps/MLSecOps professional </b>with experience across Generative AI, LLM security or secure enterprise platforms, we'd be keen to hear from you.</p></div><p></p>

Senior AI Security 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

Just Eat Takeaway.com

<div><h2 class="jobSectionHeader"><b>Ready for a challenge?</b></h2><p><br>
Then Just Eat Takeaway.com might be the place for you. We&rsquo;re a leading global online delivery platform, and our vision is to empower everyday convenience.</p><p>
Whether it&rsquo;s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe.</p><h2 class="jobSectionHeader"><b><br>
About this role</b></h2><p></p><p>
JET's Information Security organisation protects a technology-led, cloud-native platform serving millions of customers across multiple markets. JET's building security into the foundations of how we design, engineer, and operate our cloud-native platforms at scale, across our technology organisation.</p><p></p><p>
JET's Security Engineering team builds the tools, guardrails and controls that let every engineer at JET ship secure code, over 100 times a day. As a Senior Security Engineer, you'll design, build and run the security solutions our 1st and 2nd line InfoSec teams and wider engineering community rely on daily, from vulnerability scanning and access monitoring to AI security guardrails. You'll work hands-on within JET's global Security Engineering team, turning security policy into code and every engineer into a security-conscious one.</p><p></p><h2 class="jobSectionHeader"><b>
These are some of the key components to the position:</b></h2><ul><li><p><i>
Design, build and deploy security controls and guardrails across JET's cloud-native platforms, including AI security solutions protecting customer-facing products.</i></p></li><li><p><i>
Run password audits, network and web application vulnerability scans, and intrusion detection to identify and close gaps before they're exploited.</i></p></li><li><p><i>
Automate security processes as code, embedding compliance and IaC checks into CI/CD pipelines shipping over 100 times daily.</i></p></li><li><p><i>
Conduct risk audits and assessments, translating findings into practical recommendations for engineering teams.</i></p></li><li><p><i>
Monitor and analyse system access logs, flagging anomalies and supporting incident response.</i></p></li><li><p><i>
Plan and test security backup and disaster recovery processes to keep JET's platforms resilient.</i></p></li><li><p><i>
Partner with 1st and 2nd line InfoSec teams as customers of your solutions, translating technical work for product and engineering audiences.</i></p></li></ul><p></p><h2 class="jobSectionHeader"><b>
What will you bring to the team?</b></h2><ul><li><p><i>
Practical experience writing and deploying applications or tooling into cloud-native environments (AWS, Azure or GCP).</i></p></li><li><p><i>
Strong, demonstrable skills deploying AI security solutions, guardrails, and defences for AI systems used by customers.</i></p></li><li><p><i>
Proficiency in at least one of C#, Python, Java, PowerShell or Bash, with a track record of automating security processes.</i></p></li><li><p><i>
Working knowledge of Infrastructure as Code and Compliance as Code practices.</i></p></li><li><p><i>
Comfort operating in Agile, DevOps-driven teams with frequent, continuous delivery.</i></p></li><li><p><i>
Confident stakeholder management, translating security risk and technical decisions into language product and engineering teams act on.</i></p></li><li><p><i>
A collaborative, evangelist mindset, building trust so others choose secure defaults rather than having security imposed on them.</i></p></li></ul><p></p><h2 class="jobSectionHeader"><b>
At JET, this is how we play</b></h2><p><br>
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.</p><p><br>
Being the best at what we do isn&rsquo;t just about delivering on our strategy. It's a competition for something incredibly valuable &ndash; our customers' choice. Every time a customer decides where to order, they're picking a side.</p><p></p><p>
At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers&rsquo; loyalty, again and again.
</p><p>Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we&rsquo;re building a customer-first culture which enables us to stay one step ahead of the competition.</p><p></p><h2 class="jobSectionHeader"><b>
Inclusion, Diversity &amp; Belonging</b></h2><p><br>
No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We&rsquo;re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.</p><p></p><h2 class="jobSectionHeader"><b>
What else are we delivering?</b></h2><p><br>
Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.</p><h2 class="jobSectionHeader"><b><br>
Are you ready to join the team? Apply now!</b></h2></div>

Senior Security Engineer

Jefferies LLC

<div><p><b>Company
</b></p><p>Jefferies, the global investment banking firm, has served companies and investors for almost 60 years. Headquartered in New York with its European head office in London, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, and asset management. Jefferies provides research and execution services in equity, fixed income, foreign exchange, and a full range of investment banking services including underwriting, merger &amp; acquisition, restructuring and recapitalisation and other advisory services, with businesses operating in the Americas, Europe and Asia.
</p><p><b>Job Description
</b></p><p>Global Information Security is building internal engineering capability to apply generative AI and automation across the security function. This is a senior hands-on engineering role supporting both the Security Operations Centre and the wider security domains: identity, privileged access, network and cloud security, data protection, and vulnerability management.
</p><p>The position is London-anchored to provide global coverage across the APAC afternoon and Americas morning. This is an engineering role: we are looking for a software engineer who has shipped AI-backed systems in production and can own them as services.
</p><p><b>Key Responsibilities
</b></p><ul><li>Design, build and operate AI-assisted automation services across the security function, owning them as production services with testing, monitoring, alerting, error handling and rollback.
</li><li>Deliver automation supporting security operations, including alert triage and enrichment, case summarisation, evidence collection, detection tuning, threat intelligence synthesis, and repetitive investigative workflows.
</li><li>Partner with pillar leads to deliver AI and automation capability across the wider security domains, including access review and certification support, entitlement analysis and role mining, privileged session analysis and PAM onboarding, posture finding triage, firewall and segmentation rule rationalisation, configuration drift detection, data classification and DLP event triage, and vulnerability prioritisation and contextualisation.
</li><li>Develop LLM and agent-based workflows integrated with SIEM, EDR, SOAR, IGA, PAM, CSPM, DLP, ticketing and threat intelligence platforms via supported APIs.
</li><li>Set the global AI Security and automation roadmap in partnership with the Head of Cyber Operations and pillar leads; arbitrate competing demand across domains and determine which workflows warrant automation and which do not.
</li><li>Establish engineering standards for AI-assisted tooling across the security organisation in partnership with the Head of App &amp; AI Security, covering prompt and tool-definition review, agent permission scoping, and output validation.
</li><li>Engineer guardrails as a primary requirement: least-privilege service identities, human-in-the-loop checkpoints for consequential actions, full audit logging of agent decisions, and defences against prompt injection and tool-definition poisoning.
</li><li>Build reusable platform components, shared integration patterns, evaluation harnesses, prompt and tool libraries so capability compounds across domains rather than being rebuilt for each team.
</li><li>Define and report measures of effectiveness, including analyst and engineer time recovered, cycle time, and quality and error rates.
</li><li>Mentor engineers in the Pune capability centre as automation delivery scales and document to a standard supportable by a follow-the-sun team.
</li></ul><p><b>Required Qualifications
</b></p><ul><li>8+ years professional software engineering with production ownership.
</li><li>Advanced Python, including asynchronous programming, API integration, automated testing and CI/CD.
</li><li>Demonstrated production experience building LLM-backed or agentic systems: retrieval, tool and function calling, orchestration, and evaluation or regression testing of non-deterministic outputs.
</li><li>Working knowledge of security operations tooling and workflow &mdash; SIEM, EDR, SOAR, case management, threat intelligence.
</li><li>Practical familiarity with at least two additional security domains from identity and access management, privileged access, network or cloud security, or data protection, with the demonstrated ability to learn new domains quickly.
</li><li>Cloud engineering experience (AWS or Azure), containerisation and infrastructure-as-code.
</li><li>Secure development practice: secrets management, least-privilege service identity, input validation, output encoding.
</li><li>Demonstrated delivery across multiple time zones for distributed stakeholders.
</li></ul><p><b>Preferred Qualifications
</b></p><ul><li>Financial services or comparable regulated industry experience, with working knowledge of audit, evidence and change-control requirements.
</li><li>Familiarity with agentic AI failure modes - prompt injection, tool poisoning, excessive agency - and current mitigations.
</li><li>Detection engineering exposure: detection-as-code, Sigma, MITRE ATT&amp;CK mapping.
</li><li>Hands-on experience with enterprise IGA, PAM or CSPM platforms.
</li><li>Experience transitioning vendor-managed automation to internally owned capability.
</li><li>Open-source contribution, published research or conference speaking.
</li></ul><p><b>Candidate Profile
</b></p><p>The successful candidate will operate with significant autonomy, translating problem statements into delivered capability without a pre-defined backlog. They will hold technical authority across regional teams and pillar leads, balance competing demand from multiple security domains, and be expected to make and defend judgments about where AI is and is not appropriate in a security workflow.
</p><p>#LI-JD1</p></div>

AI & Automation Engineering, Global Security (Vice President)

Kraken

<div><p>Help us use technology to make a big green dent in the universe!</p><p>
Kraken powers some of the most innovative global developments in energy.</p><p>
We create the technology that redefines utilities and unlocks a new energy system of the future. By optimising renewable generation, building a more intelligent grid, and empowering utilities to deliver an exceptional customer experience, our operating system is transforming the industry worldwide.</p><p>
It&rsquo;s an incredibly exciting time to work in energy. Join us on our mission to improve the lives of ONE BILLION humans within the decade and shape a cleaner, better future for everyone.</p><p>
AI is a key investment area for Kraken Technologies as we look to expand our existing capabilities. A crucial part of this is broadening the foundational infrastructure that enables teams across the organisation to use AI effectively and accelerate our mission.</p><p>
You'll work in the Agent Safety team. We build the shared platforms, harnesses, and guardrails that enable engineering and product teams to safely, reliably, and deterministically use machine learning and generative AI agents for internal systems and workflows across the business. This is a delivery-focused team that sits at the intersection of engineering, security, and internal enablement.</p><p><b>
Where you&rsquo;ll fit in</b></p><p>
We're hiring a Senior Software Engineer to join our newly formed Agent Safety / Evals team. As AI agents take on more autonomous tasks across Kraken's internal workflows, you will help ensure they do so securely, predictably, and within clearly defined operational boundaries.</p><p>
This is a hands-on senior individual-contributor role. Working with the Lead Software Engineer and the broader AI team, you will own substantial parts of our evaluation, safety, and reliability stack - turning technical direction into production systems, contributing to architecture decisions, and raising engineering standards through thoughtful collaboration and mentoring.</p><p><b>
What you'll own</b></p><ul><li><p><b>
Build internal agent-safety systems: </b>Design and implement services that improve the reliability, security, and determinism of LLMs and autonomous agents, keeping them within expected operational boundaries</p></li><li><p><b>
Develop robust evaluation frameworks: </b>Build scalable harnesses and evals for internal workflows and AI skills. Define meaningful test cases, interrogate output quality, and improve the reproducibility of the systems used to measure it</p></li><li><p><b>
Implement guardrails and governance controls: </b>Develop pre- and post-generation controls and translate agreed governance requirements into maintainable software across internal tools and platforms</p></li><li><p><b>
Strengthen AI security and observability: </b>Engineer authentication and permission patterns for internal agents, improve monitoring and tracing, and contribute to operational playbooks for AI-specific anomalies</p></li><li><p><b>
Support verification and red teaming: </b>Design tests and participate in continuous verification and red-teaming exercises to identify prompt injection, data-access, and unpredictable-behaviour risks before they reach production</p></li><li><p><b>
Operate services in AWS: </b>Deploy, run, and support high-throughput, low-latency safety services; make sound architecture, reliability, and cost trade-offs; and work effectively with platform, techops, and security partners</p></li><li><p><b>
Raise the engineering bar: </b>Contribute to technical decisions, review designs and code, mentor other engineers, and help establish pragmatic patterns that can be reused across AI Foundations</p></li></ul><p><b>
What you bring to the party</b></p><ul><li><p><b>
Strong senior-level software engineering: </b>Proven experience owning complex components or services end to end, from design and implementation through testing, deployment, and operation</p></li><li><p><b>
Deep engineering fundamentals: </b>Strong judgement around system design, concurrency, security, testing, and architecture trade-offs. Production Python experience is preferred</p></li><li><p><b>
Practical AI evaluation and safety experience: </b>A critical understanding of LLM behaviour and experience building or using evaluation harnesses to measure output quality and reliability</p></li><li><p><b>
Security and governance mindset: </b>Experience with areas such as threat modelling, authentication and authorisation, red teaming, data-access controls, or guardrails for internal platforms</p></li><li><p><b>
Cloud experience: </b>Comfortable running services in AWS, owning reliability and scalability, and collaborating with platform, techops, and security teams</p></li><li><p><b>
Clear communication and collaboration: </b>Able to explain technical trade-offs, challenge constructively, and turn complex safety and evaluation findings into practical action</p></li></ul><p><b>
What Success Looks Like</b></p><ul><li><p><b>
Reliable delivery: </b>You ship well-tested safety and evaluation capabilities that are adopted by internal engineering and product teams</p></li><li><p><b>
High-quality evals: </b>Evaluation harnesses produce meaningful, reproducible signals that reflect the real-world performance and safety of Kraken's internal AI tooling</p></li><li><p><b>
Resilient infrastructure: </b>The services you own are observable, secure, scalable, and supported by clear operational practices</p></li><li><p><b>
Strong technical collaboration: </b>You work effectively across AI Foundations and partner teams, improve designs through constructive challenge, and help others deliver safely and confidently</p></li></ul><p><b>
️ Bonus points
</b></p><ul><li><p><b>Evaluation and safety frameworks: </b>Experience with tools such as Inspect AI, Ragas, OpenAI Evals, or NeMo Guardrails</p></li><li><p><b>
Backend engineering: </b>Django experience and strong patterns for security, performance, and maintainability</p></li><li><p><b>
Observability: </b>Experience using Datadog for tracing, monitoring, and investigating complex AI-enabled systems</p></li><li><p><b>
AI engineering tooling: </b>Familiarity with tools such as Pydantic AI, LiteLLM, or LangChain</p></li></ul><p><i>
Are you ready for a career with us? We want to ensure you have the right tools and environment to unleash your potential. If you have any accommodation requests, please contact us at inclusion@kraken.tech. We&rsquo;ll do our best to tailor the experience to your needs so you can feel comfortable, confident and be at your best!</i></p><p><i>
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&rsquo;re looking for! At Kraken, we're creating a team of genuine, honest, empathetic people. 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. We consider all applicants without regard to race, colour, religion, national origin, age, sex, gender identity or expression, sexual orientation, marital or veteran status, disability, or any other legally protected status.</i></p><ul><li>Our (i) Applicant and Candidate Privacy Notice and Artificial Intelligence (AI) Notice, (ii) Website Privacy Notice and (iii) Cookie Notice govern the collection and use of your personal data in connection with your application and use of our website. These policies explain how we handle your data and outline your rights under applicable laws, including, but not limited to, the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). Depending on your location, you may have the right to access, correct, or delete your information, object to processing, or withdraw consent. By applying, you acknowledge that you&rsquo;ve read, understood and consent to these terms</li></ul><p>
Please note that, in line with our current recruitment policy, we are unable to offer visa sponsorship for this position; applicants must have the right to work in the country that they're applying to, at the time of application.*</p></div>

Senior Software Engineer - Agent Safety / Evals - AI Foundations

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
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<p>Out of the successful launch of Chase in 2021, we're a new team, with a new mission. We're creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We're people-first. We value collaboration, curiosity and commitment.</p><p>
As a Senior Lead Software Engineer (Platform) at JPMorgan Chase within the Accelerator Business Platform Team, you are the heart of this venture, focused on getting smart ideas into the hands of our customers. You have a curious mindset, thrive in collaborative squads, and are passionate about new technology. By your nature, you are also solution-oriented, commercially savvy and have a head for fintech. You thrive in working in tribes and squads that focus on specific products and projects &ndash; and depending on your strengths and interests, you'll have the opportunity to move between them. In this senior lead role, you set technical direction across squads, raise engineering standards, and mentor and grow other technical leaders.</p><p>
While we're looking for professional skills, culture is just as important to us. We understand that everyone's unique &ndash; and that diversity of thought, experience and background is what makes a good team, great. By bringing people with different points of view together, we can represent everyone and truly reflect the communities we serve. This way, there's scope for you to make a huge difference &ndash; on us as a company, and on our clients and business partners around the world</p><p><b>
Job responsibilities</b></p><ul><li>Sets technical direction for platform engineering across squads, aligning architecture, delivery, and operational excellence to business outcomes and risk controls.</li><li>Develops secure high-quality production code, and reviews and debugs code written by others; establishes engineering standards and best practices.</li><li>Designs and develops composable infrastructure systems and capabilities, with a focus on scalable platform services.</li><li>Designs, builds, and operates Kubernetes-based platform services; automates developer self-service and CI/CD; improves reliability and operational readiness; strengthens platform security and controls via IaC, policy-as-code, and hardening standards.</li><li>Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.</li><li>Provides operational support and leadership for production systems in a &quot;you-build-it-you-run-it&quot; culture, including incident response, post-incident learning, and continuous reliability improvements.</li><li>Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.</li><li>Leads and grows communities of practice across Software Engineering to drive awareness, adoption, and use of new and leading-edge technologies.</li><li>Coaches and mentors engineers, developing technical leadership capability and supporting high performance across teams.</li><li>Adds to team culture of diversity, equity, inclusion, and respect.</li><li>Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.</li><li>Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.</li></ul><br>
<p><br>
<b>Required qualifications, capabilities, and skills</b></p><ul><li>Formal training or certification on software engineering concepts, such as Certified Kubernetes Application Developer (CKAD), Google Associate Cloud Engineer Certification, or AWS Certified Solutions Architect, or equivalent experience.</li><li>Hands-on practical experience delivering system design, application development, testing, and operational stability, including leading technical delivery in complex environments.</li><li>Advanced in one or more programming language(s), such as Go, Java or Kotlin.</li><li>Advanced understanding of agile methodologies, CI/CD, application resiliency, and security, including setting standards and driving adoption across teams.</li><li>Demonstrated proficiency in software applications and processes within a technical domain, such as cloud, artificial intelligence, machine learning, mobile, etc.</li><li>Practical cloud native experience, deploying Kubernetes applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Azure, at meaningful scale.</li><li>Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security</li><li>Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.</li></ul><br>
<p><b>Preferred qualifications, capabilities, and skills</b></p><div><ul><li><br>
Expertise in the Kubernetes operator pattern.</li><li>Expertise deploying infrastructure as code, using Crossplane, Terraform, or equivalent.</li><li>Experience with GitOps workflows.</li></ul><br>
</div><p>#ICBCareer #ICBEngineering</p><p><br>
</p><b>ABOUT US</b>
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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
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Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You'll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.</div>

Senior Lead Software Engineer - Cloud Platform Engineering

Worldpay

<div><p>Ready to take your career global?<br>
</p><p></p><div><div><div><div><div><div><div><div><div><p>Make your mark at one of the biggest names in payments. We&rsquo;re looking for a <b>Senior Software Engineer &ndash; Agentic Commerce</b> to join our ever-evolving agentic commerce engineering team and help shape the future of global commerce.<br>
</p><p></p><p><b>What you&rsquo;ll own</b></p><p></p><p>
We are building the future of autonomous commerce. As AI agents begin to discover products, compare options, build carts, and initiate purchases on behalf of consumers, the payments layer needs new infrastructure for trust, identity, user intent, authentication, tokenization, fraud signals, and real-time transaction visibility.</p><p>
As a Senior Software Engineer, Agentic Commerce, you will join a greenfield engineering squad building secure, reliable backend services that allow AI agents, merchants, payment platforms, and risk systems to work together in real time.</p><p></p><p><b>
AI Agent Integrations</b></p><ul><li><p>
Design and build secure checkout and payment APIs that AI agents can invoke reliably and deterministically, including support for concepts such as UCP, ACP, AP2, agentic tokens, delegated credentials, verifiable intent, and MPP.</p></li><li><p>
Implement flows that capture and validate agent context, user intent, delegated authority, payment credentials, risk signals, transaction evidence, and downstream reporting data.</p></li><li><p>
Integrate agentic commerce capabilities with global payment platforms, gateways, checkout, tokenization, authentication, fraud, reporting, and merchant-facing systems.</p></li></ul><p></p><p><b>
API &amp; SDK Development</b></p><ul><li><p>
Build merchant-facing APIs, SDKs, documentation, sample flows, sandbox experiences, and developer tools that make agentic commerce easier to adopt.</p></li><li><p>
Design for clear contracts, predictable errors, strong validation, fast testing, and measurable time-to-first-transaction.</p></li><li><p>
Use feedback from internal teams, external developers, pilots, and partner integrations to improve the platform quickly.</p></li></ul><p></p><p><b>
Backend Engineering</b></p><ul><li><p>
Build Java-based backend services that support real-time, high-trust payment workflows with strong performance, observability, security, and operational discipline.</p></li><li><p>
Own features from design through implementation, testing, deployment, monitoring, and iteration.</p></li><li><p>
Contribute to design reviews, code reviews, service documentation, production readiness, and a culture of high-quality engineering.</p></li></ul><p><b><br>
</b></p><p><b>What you&rsquo;ll bring</b><b>
</b></p><ul><li><p>5+ years of software engineering experience, including building and operating production services, APIs, distributed systems, or transaction-processing applications.</p></li><li><p>
Experience building and operating cloud-based systems on AWS, Google Cloud Platform, or comparable public cloud environments, with strong fundamentals in deployment, monitoring, reliability, and secure service design.</p></li><li><p>
Practical interest in AI agents and agentic workflows, including how agents call APIs, pass structured data, operate within delegated permissions, and require validation before triggering real-world actions.</p></li><li><p>
Strong software engineering fundamentals across API design, testing, CI/CD, observability, secure coding, resilience, maintainability, and production support.</p></li><li><p>
Ability to collaborate across product, architecture, security, fraud, checkout, tokenization, gateway, and platform teams to deliver cross-system capabilities in a fast-moving, emerging product area.</p></li></ul><p></p><p><b>
It&rsquo;s a bonus if you have</b></p><ul><li><p>
Experience in payments, fintech, commerce, gateways, card-not-present processing, checkout, tokenization, 3DS/SCA, fraud/risk, disputes, merchant reporting, or other high-trust transaction systems.</p></li><li><p>
Experience building or integrating with AI-powered applications, agent frameworks, LLM tool-calling patterns, MCP-style integrations, A2A-style workflows, structured automation systems, or safe AI execution patterns such as validation, policy checks, audit logs, fallback paths, and protection against prompt injection or tool misuse.</p></li><li><p>
Hands-on experience with Node.js, TypeScript, SDKs, developer tooling, sandbox environments, sample apps, merchant-facing APIs, GitHub projects, open-source tools, standards discussions, AI engineering communities, or technical forums.</p></li></ul><p></p><p><b>
About the team</b></p><p>
Our inclusive and global teams win together every day. We&rsquo;re proud to have the best minds in the industry, who you can learn from as you grow your career. The people, the energy, the connections
</p><p>&ndash; it&rsquo;s unmatched. Come and be part of an ever-evolving company and get dynamic opportunities that go beyond borders.<br>
</p><p></p><p><b>What makes a Globalpayer?</b><b>
</b></p><p>Globalpayers think like a client, act like an owner and win as one team. We&rsquo;re curious and innovative &ndash; always finding better ways to deliver impact. We empower each other to make decisions, and it&rsquo;s our passion that drives excellence in everything we set out to do.<br>
</p><p></p><p>Does this sound like you? Then you sound like a Globalpayer. Apply now to take your career global.
</p><p></p><p>#LI-AB1</p></div></div></div></div></div></div></div></div></div></div>

Senior Software Engineer – Agentic Commerce - (London)

Explore 256+ Senior information security engineer in London this September. Find roles across top companies and apply now to boost your career.