software engineer

ai engineer

senior software engineer

senior ai engineer

platform engineer

ai assisted software engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<div>We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
<br>
<br>
As a Lead Software Engineer at JPMorganChase within the Data Platforms team in the Chief Data &amp; Analytics Office, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Your knowledge of Scala, functional programming and agentic techniques will help our team meet the requirements of our diverse user base. Your work will be intellectually challenging ranging from meta-programming, domain specific languages and interpreter design to delivery of services and user interfaces all via public cloud.
</div><div><br>
<b>Job responsibilities</b>
</div><div><ul><li>Leads the engineering of cutting-edge solutions in the areas of metadata, meta-modelling and distributed systems.</li>
<li>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems</li>
<li>Develops secure and high-quality production code, and reviews and debugs code written by others</li>
<li>Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.</li>
<li>Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.</li>
<li>Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems</li>
</ul></div><p></p><div><b>Required qualifications, capabilities, and skills</b>
</div><div><ul><li>Formal training or certification on software engineering concepts and advanced applied experience
</li><li>Hands-on practical experience delivering system design, application development, testing, and operational stability</li>
<li>Applied experience in Scala and Java</li>
<li>Experience working with asynchronous runtimes like Cats Effect</li>
<li>Demonstrated experience leading effective use of approved AI-assisted software development tools (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 engineers on safe, compliant adoption within delivery practices</li>
<li>Proficient in all aspects of the Software Development Life Cycle</li>
<li>Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li>
<li>In-depth knowledge of the financial services industry and their IT systems</li>
<li>Practical cloud native experience</li>
</ul></div><p></p><div><b>Preferred qualifications, capabilities, and skills</b>
</div><ul><li><div>Meta-programming through libraries such as shapeless or Magnolia.
</div></li><li><div>Doman Specific Language design and interpretation
</div></li><li><div>Knowledge of domain driven design
</div></li><li><div>Proficient with SQL/No-SQL databases
</div></li></ul><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Lead Scala/Java Software Engineer - CDAO Data Platforms

Scalo

<div><div><p>At Scalo, we are dedicated to delivering software projects. We help our partners grow their businesses by creating software that enables people to work faster, make a difference and achieve better results. Our company uses a wide range of IT services to assist our clients.</p>
<p>
Our areas of expertise include technology consultancy, software development, embedded systems, cloud solutions, data management, and dedicated development teams.</p>
</div>
<h2 class="jobSectionHeader"><b>Hi! Explore cooperation opportunities with Scalo!</b></h2>
<h2 class="jobSectionHeader"><b>Scope of cooperation:</b></h2>
<ul><li>developing and enhancing customer-facing applications in the area of backup, disaster recovery, and IT resilience,</li>
<li>building frontend solutions using React and TypeScript,</li>
<li>developing backend services and REST APIs with C#/.NET or Node.js,</li>
<li>working with SQL Server / Azure SQL and Microsoft Azure,</li>
<li>transforming prototypes and legacy solutions into secure, scalable, production-ready applications,</li>
<li>taking ownership of applications across development, deployment, support, and further improvements,</li>
<li>working with automated testing, code reviews, CI/CD pipelines, and AI-assisted development tools,</li>
<li>collaborating remotely with international engineering teams, mainly based in the UK,</li>
<li>working 7.5 hours per day according to UK business hours and the UK holiday calendar,</li>
<li>rate: up to 30 GBP/h on a B2B contract.</li>
</ul><h2 class="jobSectionHeader"><b>Required competencies:</b></h2>
<ul><li>commercial experience as a Fullstack Software Engineer at Regular+ or Senior level,</li>
<li>strong experience with React and TypeScript,</li>
<li>commercial experience with C#/.NET or Node.js,</li>
<li>practical experience with REST APIs and SQL Server / Azure SQL,</li>
<li>experience with Microsoft Azure and modern CI/CD practices,</li>
<li>experience taking ownership of applications and supporting production systems,</li>
<li>knowledge of secure coding practices, automated testing, and code reviews,</li>
<li>experience with AI-assisted development tools,</li>
<li>ability to work independently in an international remote environment,</li>
<li>fluent English at <b>C1 level or higher</b>,</li>
<li>availability to work according to UK business hours.</li>
</ul><h2 class="jobSectionHeader"><b>What you can expect when cooperating with us</b></h2>
<p></p>
<div><ul><li>Opportunity to deliver projects across Software, Embedded, Data, Cloud Services and AI.</li>
<li>Opportunity to participate in expert initiatives and support presales processes.</li>
<li>Medical care, a sports card and a cafeteria platform available in line with the applicable cooperation rules.</li>
</ul></div><div></div>Technology stack - enter 3 - 4 main technologies, separated by commas, e.g.: Java, AWS, Spring, Hibernate
<p>
React, Node, Typescript</p>
Cooperation model - if you need change for Contract of mandate
<p>
B2B</p>
Experience level enter: Junior, Regular, Senior, or Expert
<p>
Senior</p>
Salary enter the upper end of the salary range, e.g. up to 150 PLN/h (B2B)
<p>
up to 30 GBP/h</p>
Service delivery model enter: Remote, Hybrid, or On-site
<p>
Remote</p>
<h2 class="jobSectionHeader"><b>
See how to start cooperating with Scalo:</b></h2></div>

Senior Fullstack Developer (React/Node.js)

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p><b>Job Description</b></p><p><br>
At JPMorganChase, we understand that customers seek exceptional value and a seamless experience from a trusted financial institution. That's why we launched Chase UK to transform digital banking with intuitive and enjoyable customer journeys. With a strong foundation of trust established by millions of customers in the US, we have been rapidly expanding our presence in the UK and soon across Europe. We have been building the bank of the future from the ground up, offering you the chance to join us and make a significant impact.</p><p>
As a Software Engineer III at JPMorganChase within the International Consumer Bank, you will be joining our Cloud Platform Engineering tribe in the Compliance Platform Engineering team. This team owns the security controls, compliance tooling, and guardrails that underpin the Chase UK cloud platform, trusted by over 2 million customers. You will work at the intersection of DevSecOps and platform engineering, embedding security into how we build and ship software in a regulated cloud-native environment.</p><p>
This is a hands-on engineering role. The core of the work is understanding how services and cloud infrastructure are built, identifying where the risks are, and working with engineering teams to address them. You will build the tooling and automation that gives the business continuous visibility of its security posture, design and enforce cloud guardrails, and help teams understand and remediate their exposure. You will collaborate closely with platform engineers, product squads, and risk and governance teams.</p><p><b>
Job responsibilities</b></p><ul><li>
Perform threat modelling of platform services and cloud infrastructure, translating findings into clear, actionable remediation guidance for engineering teams</li><li>
Design and implement cloud security guardrails and policy-as-code controls to enforce secure configuration at scale</li><li>
Build and maintain automation to detect, enrich, and report on security findings and compliance posture across AWS environments</li><li>
Assess and track vulnerability findings, providing contextual analysis to help teams understand and prioritize remediation</li><li>
Contribute to software supply chain security practices including dependency analysis and policy enforcement</li><li>
Work with risk, governance, and control teams to support audit evidence collection, reporting, and policy adherenceSupport runtime security tooling for production risk visibility and contribute to incident response activities including triage, investigation, and runbook development</li><li>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation</li></ul><p><b><br>
Required qualifications, capabilities, and skills</b></p><ul><li>
Formal training or certification on software engineering concepts and proficient applied experience</li><li>
Hands-on experience in a DevSecOps, cloud security, or compliance platform engineering role operating in AWS</li><li>
Practical experience with threat modelling methodologies (e.g., STRIDE or equivalent) applied to cloud services or distributed systems</li><li>
Good working knowledge of AWS cloud security services including Identity and Access Management, CloudTrail, GuardDuty, Security Hub, and Key Management Service</li><li>
Experience building security automation and tooling using scripting or programming languages such as Python, Go, or Bash</li><li>
Good knowledge of infrastructure-as-code practices using tools such as Terraform</li><li>
Hands-on experience with Kubernetes and container orchestration in production environments</li><li>
Working knowledge of compliance frameworks relevant to financial services, such as PCI-DSS, ISO 27001, or NIST</li><li>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation) with demonstrated ability to critically evaluate and validate AI-generated outputs</li><li>
Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations</li></ul><p><b><br>
Preferred qualifications, capabilities, and skills</b></p><ul><li>
Experience with cloud security tooling such as Wiz, Snyk, Semgrep, or Trivy</li><li>
Familiarity with policy-as-code tools such as Sentinel, Kyverno, or Checkov</li><li>
Knowledge of software supply chain security concepts including bill of materials, supply chain security frameworks, and dependency governance</li><li>
Familiarity with the UK regulatory environment including Financial Conduct Authority and Prudential Regulation Authority requirements</li><li>
AWS Security Specialty certification or equivalent</li></ul><p>
</p><p>#ICBCareers<br>
</p><b>ABOUT US</b>
<br>
<br>
J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.<br>
<div><div>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.<br>
</div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III - DevSecOps / Compliance Platform Engineering

Fresha

<div><h4 class="jobSectionHeader"><b>The AI-powered OS for beauty, wellness and self-care</b></h4><p><b><br>
About Fresha</b><br>
<br>
Fresha is the AI-powered operating system for the global beauty, wellness and self-care industry, connecting and powering everything from salons and barbers to spas, medspas, fitness studios and health practices.<br>
<br>
Trusted by millions of consumers and businesses worldwide. Fresha is used by 140,000+ businesses and 450,000+ stylists and professionals worldwide, processing over 1 billion appointments to date.<br>
<br>
The company is headquartered in London, United Kingdom, with 15 global offices located across North America, EMEA and APAC.</p><div><p>
Fresha allows consumers to discover, book and pay for beauty and wellness appointments with local businesses via its marketplace, while beauty and wellness businesses and professionals use an all-in-one platform to manage their entire operations with an intuitive business software and financial technology solutions.</p></div><p></p><div><p>
Fresha&rsquo;s ecosystem gives merchants everything they need to run their business seamlessly by facilitating appointment bookings, point-of-sale, customer records management, marketing automation, loyalty, beauty products inventory and team management.</p></div><p></p><div><p>
The consumer marketplace unlocks revenue potential for partner businesses by leveraging the power of online bookings and automated marketing through mobile apps and advanced integrations with major tech brands including Instagram, Facebook and Google.</p></div><p></p><div><p><b>
Role overview</b></p></div><p></p><div><p>
Fresha is entering its next phase of global scale, and the Platform team plays a vital role in making that growth fast, safe, and sustainable.</p></div><p></p><div><p>
As a Senior Platform Engineer, you will take end-to-end ownership of how our platform and services are built, deployed, and operated. Your focus is clear: remove friction for engineers, reduce operational risk, and ensure the platform scales alongside the business.</p></div><p></p><div><p>
Your mission is to ensure engineers always have the right tools, patterns, and infrastructure so they can deliver faster, safer, and with confidence.</p></div><p></p><div><p>
We care deeply about customer impact, even when the work is internal &mdash; platform improvements ultimately exist to help Fresha deliver better experiences to customers.</p></div><p></p><div><p>
To foster a collaborative environment that thrives on face-to-face interactions and teamwork, all Fresha employees work from <b>our dog-friendly office</b> 4 days per week, with the option to work from home on Wednesday. London office address: The Bower, The Tower, 207 Old St, London EC1V 9NR</p></div><div><div><h3 class="jobSectionHeader"><b>
Our Tech Stack:</b></h3><div><div><ul><li><p>
Docker</p></li><li><p>
AWS EKS</p></li><li><p>
Kafka / AutoMQ for asynchronous messaging</p></li><li><p>
Elixir &amp; Ruby for core services</p></li><li><p>
gRPC for inter-service communication</p></li><li><p>
GraphQL for API ingress</p></li><li><p>
Next.js / TypeScript for frontend</p></li><li><p>
PostgreSQL (RDS) for persistent storage</p></li><li><p>
GitHub Actions (primary CI), with Jenkins &amp; Argo Workflows for legacy pipelines</p></li><li><p>
Redis for key/value storage</p></li><li><p>
Terraform for infrastructure as code</p></li><li><p>
Python and GoLang for our Platform tools</p></li><li><p>
Datadog, Sentry for observability and incident response</p></li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
What you will be doing:</b></h3><div><div><div><p><b>
Platform Architecture &amp; Scale</b></p></div><ul><li><p>
Define and evolve infrastructure architecture to support multi-region deployments</p></li><li><p>
Design systems for resilience, scalability, and operational simplicity</p></li><li><p>
Explore and apply AI-assisted approaches to reduce operational toil, improve reliability, and support platform decision-making where it creates clear value</p></li></ul><p></p><div><p><b>
Observability &amp; Operations</b></p></div><ul><li><p>
Extend monitoring and observability capabilities across services</p></li><li><p>
Make operational data easy to access, understand, and act on</p></li><li><p>
Build tooling for safe deployments, fast rollbacks, and reduced operational toil using software methodologies and approaches</p></li><li><p>
Experiment with AI-assisted detection, triage, or automation to improve signal quality and reduce manual effort</p></li></ul><p></p><div><p><b>
Ownership &amp; Leadership</b></p></div><ul><li><p>
Scope, lead, and deliver platform initiatives autonomously</p></li><li><p>
Drive cross-team projects with clear outcomes and accountability</p></li></ul><p></p><div><p><b>
Enablement &amp; Knowledge Sharing</b></p></div><ul><li><p>
Raise the bar through documentation, runbooks, and internal knowledge sharing</p></li><li><p>
Help teams learn, align, and operate more effectively together</p></li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
We&rsquo;d love to hear from you if you:</b></h3><div><div><ul><li><p>
Have 5+ years of experience building, operating, and troubleshooting production-grade systems, with a strong focus on reliability, observability, and scalability</p></li><li><p>
Bring hands-on experience with AI/ML or LLM-based tools in a platform or operational context (e.g. automation, observability, developer experience, or incident response)</p></li><li><p>
Demonstrate strong programming and automation skills in Python, Go, or Bash, and use Infrastructure as Code (Terraform) to build repeatable, low-risk systems</p></li><li><p>
Have experience with AWS (EKS, RDS, S3, CloudFront), or equivalent platforms on GCP or Azure</p></li><li><p>
Are comfortable working close to the system with solid Linux and networking fundamentals (TCP/IP, DNS, firewalls, load balancing, VPNs)</p></li><li><p>
Have practical experience designing or improving observability (metrics, logs, traces) using tools such as Datadog, Grafana, ELK, Sentry, and OpsGenie</p></li><li><p>
Take ownership of complex technical problems, form clear opinions backed by data, and drive solutions through implementation and collaboration</p></li><li><p>
Work effectively across teams, communicate technical concepts clearly, and apply systems thinking to make platforms easier to use, safer to operate, and simpler to scale</p></li><li><p>
Have experience with Claude code</p></li></ul></div></div></div></div><div><div><h3 class="jobSectionHeader"><b>
Interview Process</b></h3><div><div><ul><li><p><b>
Screen Call</b> - Video call with a member from the Talent Team - 30 minutes</p></li><li><p><b>
1st Stage</b><b> </b>- Technical Video call/In-person interview with Head of Engineering - 60 minutes</p></li><li><p><b>
2nd Stage</b><b> </b>- Technical Video call/In-person interview with Engineers - Up to 2.5 hours (including a 30 minute preparation exercise)</p></li></ul><p></p><div><p><i>
We aim to finalise the entire interview process and deliver feedback within</i><i> </i><b><i>4 weeks.</i></b></p></div><p></p><ul><li><p>
Every job application received is reviewed manually by our talent team. While we strive to assess applications within 7 days, the sheer volume of talented individuals expressing interest may occasionally extend this timeframe</p></li></ul></div></div></div></div><div><div><p><b>
Inclusive workforce</b></p></div><p></p><div><p>
At Fresha, we are creating a culture where individuals of all backgrounds feel comfortable.</p></div><p></p><div><p>
We want all Fresha people to feel included and truly empowered to contribute fully to our vision and goals. Everyone who applies will receive fair consideration for employment.</p></div><p></p><div><p>
We do not discriminate based on race, colour, religion, sex, sexual orientation, age, marital status, gender identity, national origin, disability, or any other applicable legally protected characteristics in the location in which the candidate is applying.</p></div><p></p><div><p>
If you have any accessibility requirements that would make you more comfortable during the interview process and/or once you join, please let us know so that we can support you.</p></div></div><div><div><p>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div></div>

Senior Platform Engineer (Infrastructure)

Oliver Bernard

<div>
 <p>
  🚀
  <strong>
   Staff AI Engineer | Stealth Mode AI Start-up | London | Up to &pound;200k
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Oliver Bernard have partnered with a
  <strong>
   stealth-mode start-up in the AI &amp; Research space
  </strong>
  , who are looking for a Staff AI Engineer to join the team and work on some genuinely challenging problems across LLMs, reinforcement learning and agentic systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands-on research + engineering role, where you&rsquo;ll be involved in:
 </p>
 <p>
  <br/>
 </p>
 <p>
  🧠
  <strong>
   LLM training &amp; fine-tuning
  </strong>
  &ndash; including reinforcement learning and post-training
 </p>
 <p>
  🔄
  <strong>
   Evaluation &amp; feedback loops
  </strong>
  &ndash; building systems to continuously assess and optimise models
 </p>
 <p>
  🤖
  <strong>
   Agent development
  </strong>
  &ndash; designing and building sophisticated AI agents
 </p>
 <p>
  🔬
  <strong>
   AI research
  </strong>
  &ndash; exploring LLM training, RL, evaluation and optimisation techniques
 </p>
 <p>
  💻
  <strong>
   Software engineering
  </strong>
  &ndash; applying strong engineering fundamentals to complex AI problems
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What they&rsquo;re looking for:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong experience working with
   <strong>
    LLMs and/or foundation models
   </strong>
  </li>
  <li>
   Deep experience with
   <strong>
    training, fine-tuning, RL or post-training
   </strong>
  </li>
  <li>
   Strong background in
   <strong>
    model evaluation and optimisation
   </strong>
  </li>
  <li>
   Experience building
   <strong>
    AI agents / agentic systems
   </strong>
  </li>
  <li>
   Excellent software engineering fundamentals
  </li>
  <li>
   A strong track record in
   <strong>
    AI research
   </strong>
   and solving technically complex problems
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   London &ndash; 2 days hybrid
  </strong>
 </p>
 <p>
  💰
  <strong>
   Up to &pound;200k
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;re a
  <strong>
   Staff-level AI Engineer
  </strong>
  who wants to work at the intersection of
  <strong>
   cutting-edge research and production engineering, apply below for more information.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   London | Stealth | Staff AI Engineer
  </strong>
 </p>
</div>


Staff AI Engineer - Stealth Start-up - London

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

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Sales
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><h1 class="jobSectionHeader"><b>Forward Deployed Engineer &mdash; Agentforce Orchestration
</b></h1><p></p><h3 class="jobSectionHeader"><b>About the Role
</b></h3><p><b>As a Forward Deployed Engineer (FDE) focusing on </b><b>Agentforce Operations </b>, you are a hands-on Technical Builder who designs, constructs, and deploys enterprise-grade agentic AI solutions directly inside customer environments. AFO powers the multi-agent orchestration layer, transforming messy operational workflows, unstructured data (emails, PDFs, spec sheets), and legacy ERP logs into autonomous execution engines with humans in the loop.
</p><p><b>Operating in an agile deployment pod alongside a </b><b>Deployment Strategist </b>and <b>Specialized AI Engineers </b>, you will serve as the crucial link connecting advanced AI agents to the broader enterprise technology landscape. You will write production code, architect real-time data grounding systems, perform prompt engineering, manage multi-agent communication protocols, and deploy automated supply chain and back-office workflows into production from day one.
</p><p></p><h3 class="jobSectionHeader"><b>What You'll Actually Be Building
</b></h3><ul><li><p><b>Workflow &amp; Multi-Agent Orchestration: </b>Build, configure, and optimize complex operational workflows using <b>AFO </b>, defining agent reasoning, tool-calling logic, and conditional execution loops.
</p></li><li><p><b>Agent Communication Protocols: </b>Implement modern agent-to-agent communication standards and the <b>Model Context Protocol (MCP) </b>to govern context sharing, task hand-offs, and tool execution across specialized AI agents.
</p></li><li><p><b>Enterprise AI Grounding Systems: </b>Architect, build, and maintain real-time data grounding infrastructure using <b>RAG (Retrieval-Augmented Generation) </b>, vector databases, search indexes, and knowledge bases to supply agents with accurate enterprise context.
</p></li><li><p><b>Enterprise Integration &amp; API Management: </b>Develop and maintain custom APIs (REST, GraphQL, webhooks) and integration pipelines connecting AFO/Agentforce to Salesforce Data Cloud (Data 360), cloud warehouses (Snowflake, Databricks), and core ERPs (SAP, Oracle, NetSuite) via MuleSoft or custom middleware.
</p></li><li><p><b>AI-Assisted Engineering: </b>Leverage modern AI tools ( <b>Cursor, Claude, Vibes </b>) embedded directly into your daily developer workflow to move from architecture sketch to deployable code in days, not months.
</p></li><li><p><b>Telemetry &amp; Observability: </b>Model data, ship ETL/ELT pipelines, and build real-time agent performance dashboards to track execution health, fallback triggers, and business outcomes.
</p></li><li><p><b>Field-to-Product Feedback: </b>Serve as the direct connective bridge between frontline customer deployments and core Salesforce product/engineering teams to feed edge cases and gaps back into platform feature roadmaps.
</p></li></ul><p></p><h3 class="jobSectionHeader"><b>Required Qualifications
</b></h3><ul><li><p><b>3+ years of software engineering or technical delivery experience, with at least one production AI, data engineering, or enterprise integration system deployed to production.
</b></p></li><li><p><b>High proficiency in at least one modern language: Python, JavaScript/TypeScript, Java, or Apex.
</b></p></li><li><p><b>Hands-on AI &amp; Grounding Expertise: Deep experience with LLM orchestration, prompt tuning, and building RAG pipelines, vector search indexes, and knowledge base retrievers for enterprise data.
</b></p></li><li><p><b>Multi-Agent Systems &amp; API Mastery: Practical experience with API design (REST/SOAP/webhooks) and modern agent protocols (e.g., MCP, tool calling, or event-driven messaging architectures).
</b></p></li><li><p><b>Expertise in process orchestration and API-led connectivity using tools like MuleSoft or custom middleware to bridge AI agents with legacy ERP systems.
</b></p></li><li><p><b>Solid understanding of data modeling, schema design, and asynchronous message integration patterns.
</b></p></li><li><p><b>Strong executive presence - ability to whiteboard architecture with enterprise CTOs and VPs while writing production code alongside lead architects.
</b></p></li><li><p><b>Familiarity with automation platforms (Pega, UiPath, Automation Anywhere, ServiceNow, Appian, Microsoft Power Platform) and competing enterprise AI and agent platforms (Microsoft Copilot Studio, Google Vertex AI, AWS Bedrock, IBM watsonx, Palantir AIP, ServiceNow AI Agents).
</b></p></li><li><p><b>Experience with integrated enterprise applications (Workday, Coupa, Jira, Slack, major warehouse or transportation management systems) and deployment infrastructure (Kafka, AWS EventBridge, Azure Service Bus, GitHub, Docker, Kubernetes, Terraform).
</b></p></li><li><p><b>Knowledge of data governance and master data systems (Informatica, Collibra, SAP MDG, Reltio) and operational execution platforms (Manhattan Associates, Blue Yonder, Kinaxis, Oracle transportation management).
</b></p></li><li><p><b>Understanding of enterprise security and governance: Identity and access management, OAuth, data privacy, audit logging, permissioning, and secure tool execution.
</b></p></li><li><p><b>Willingness to travel 25-30% for on-site deployment with key enterprise accounts.
</b></p></li></ul><p></p><p><b>Preferred Qualifications
</b></p><ul><li><p><b>Specific domain expertise in Supply Chain, Manufacturing, or Logistics Execution.
</b></p></li><li><p><b>Experience within the Salesforce Ecosystem (Agentforce Specialist, Data Cloud, Apex, Flow, or Headless architectures).
</b></p></li><li><p><b>Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery).
</b></p></li><li><p><b>Proven ability to create reusable accelerators, reference architectures, connectors, and implementation playbooks from customer deployments.
</b></p></li></ul><p></p><p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p>We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.
<p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.</p></div><p></p>

Agentforce Operations FDE

Explore 154+ Ai assisted software engineer in London this August. Find roles across top companies and apply now to boost your career.