ai software engineer

Moody's Corporation

<div>
 At Moody's, we unite the brightest minds to turn today&rsquo;s risks into tomorrow&rsquo;s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are&mdash;with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody&rsquo;s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we&rsquo;re advancing AI to move from insight to action&mdash;enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
 <br/>
 <br/>
 If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
 <br/>
 <br/>
 <strong>
  Skills And Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems
  </li>
  <li>
   Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies
  </li>
  <li>
   Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production
  </li>
  <li>
   Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices
  </li>
  <li>
   Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval
  </li>
  <li>
   Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred
  </li>
  <li>
   Excellent problem-solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals
  </li>
  <li>
   Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree or higher in Computer Science, Software Engineering, or a related field.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production-grade software solutions that leverage cutting-edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents. Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js &amp; Python, while also integrating machine learning workflows and AI-driven applications. You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities
 <br/>
 <br/>
 <ul>
  <li>
   Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents
  </li>
  <li>
   Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning
  </li>
  <li>
   Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems
  </li>
  <li>
   Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads
  </li>
  <li>
   Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems
  </li>
  <li>
   Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models
  </li>
  <li>
   Lead the implementation of autonomous agents capable of multi-step reasoning, decision-making, and tool use in production environments
  </li>
  <li>
   Participate in design reviews, write high-quality code, and contribute to documentation to ensure team-wide efficiency and maintainability
  </li>
  <li>
   Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About The Team
  <br/>
  <br/>
 </strong>
 Our Innovation team is responsible for building internal and external solutions leveraging cutting-edge machine learning technology, including LLMs, AI Agents and NLP
 <br/>
 <br/>
 The group is made up of a diverse set of professionals spanning a wide range of experience levels. We&rsquo;re organized into agile squads, each focused on building and scaling innovative AI-driven products that enhance productivity and deliver measurable value
 <br/>
 <br/>
 Collaboration is a cornerstone of how we operate. Engineers and data scientists work closely together to experiment, iterate, and deploy solutions in a fast-paced environment. Joining our team means contributing to an open and supportive culture where learning and knowledge-sharing are encouraged, and where every team member has the opportunity to make a tangible impact
 <br/>
 <br/>
 Moody&rsquo;s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
 <br/>
 <br/>
 Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody&rsquo;s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
</div>


AI Software Engineer

VodafoneThree

<div><div><div><div><h2 class="jobSectionHeader"><b>Who we are</b></h2>
</div><div><p>
VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
<br>
As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.
<br>
We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
<br>
#VOIS #BeUnrivalled #CreateTheFuture</p></div></div><div><div><h2 class="jobSectionHeader"><b>
About this Role:</b></h2>
</div><div><p>
The <b>Digital &amp; IT Team</b> is responsible for designing, building, and operating the core digital and IT capabilities that power Vodafone&rsquo;s next‑generation Digital &amp; IT platform.</p><p>
As a <b>Junior AI Engineer</b>, you will work within cross-functional squads to build platform capabilities using an <b>AI-enabled Software Development Life Cycle (AI-SDLC)</b>.</p><p>
You will apply AI tools to accelerate how we <b>understand existing systems, generate specifications, and deliver software</b>, working alongside engineers, architects, and product teams.</p><p>
You will help transform existing platform assets and business requirements into structured, <b>reusable engineering artefacts</b>, supporting delivery through <b>spec-driven, thin-slice development</b>.</p><p>
You will also support the <b>responsible use of AI-generated outputs</b> by validating accuracy, completeness, security, and alignment with Vodafone engineering standards.</p><p>
Given the responsibilities outlined above, the role includes:</p><ul><li>
Supporting analysis of existing systems to extract <b>business logic, integrations, and reusable capabilities</b></li><li>
Generating <b>structured engineering artefacts</b> to support consistent delivery</li><li>
Contributing to <b>AI-assisted development workflows</b>, ensuring alignment between requirements, specifications, and implementation</li><li>
Supporting <b>incremental, thin-slice delivery</b> of platform capabilities</li><li>
Working closely with developers, architects, and product teams to maintain <b>quality, consistency, and delivery pace</b></li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><ul><li>Use AI tools to support <b>analysis of existing codebases and services</b>, identifying reusable logic and integration patterns</li><li>
Generate and refine <b>specifications, acceptance criteria, and user stories</b> aligned to platform architecture</li><li>
Create <b>test scenarios and validation artefacts </b>derived from specifications</li><li>
Support translation of <b>business requirements into implementation-ready engineering artefacts</b></li><li>
Work with developers to ensure <b>alignment between specifications, code, and testing outputs</b></li><li><b>
Validate AI-generated specifications, code suggestions, test scenarios, and documentation</b> to ensure they are accurate, secure, consistent, and aligned with platform architecture and engineering standards</li><li>
Support <b>responsible AI-SDLC practices</b> by identifying risks such as hallucinated requirements, incomplete logic, security gaps, or misalignment between business intent and implementation</li><li>
Contribute to <b>incremental, thin-slice delivery</b>, maintaining traceability between requirements, specifications, and implementation</li><li>
Assist in the <b>implementation of services, APIs, and platform components</b>, validating AI-generated outputs</li><li>
Participate in agile ceremonies (refinement, planning, stand-ups, retrospectives)</li><li>
Contribute to <b>AI-SDLC practices, templates, and continuous improvement across the squad.</b></li><li><b>
AI-Assisted Engineering</b> - Understanding of how AI tools support system analysis, specification, and delivery workflows</li><li><b>
Software Engineering Fundamentals</b> - Knowledge of APIs, data structures, and system design basics</li><li><b>
AI Governance and Validation</b> - Awareness of responsible AI usage in software delivery, including validation of AI-generated outputs, traceability, quality control, and security considerations</li><li><b>
Collaboration </b>- Works effectively in cross-functional squads, supporting engineers and product teams</li><li><b>
Communication</b> - Able to clearly document specifications and communicate technical concepts</li><li><b>
Learning Mindset</b> - Strong curiosity and ability to rapidly adopt new tools and practices</li><li><b>
Agile Delivery</b> - Exposure to iterative delivery, CI/CD, and continuous improvement practices</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2></div><p></p><div><br>
<ul><li>
Experience with at least one programming language (e.g. Java, Python, JavaScript or similar)</li><li>
Understanding of <b>APIs, web services, and basic system integration concepts</b></li><li>
Familiarity with <b>modern development workflows (Git, CI/CD basics)</b></li><li>
Awareness of <b>AI/LLM tools and their application in software development</b></li><li>
Exposure to <b>cloud-native development concepts</b> (e.g. microservices, containers, or cloud platforms)</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a perfect fit?</b></h2>
</div><div><p>
Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
VOIS Equal Opportunity Employer Commitment</b></h2>
</div><div><p>
Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
<br>
We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
<br>
With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Alert
</b></h2></div><div><p>Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
<br>
#JDEnhancedByTARA</p></div></div></div></div>

Junior AI Software Engineer

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>Help shape how intelligent systems are built and delivered at JPMorganChase. In this role, you'll contribute to the LLM Suite platform by building AI/ML and agentic capabilities that are secure, reliable, and ready for production. You'll collaborate closely with senior engineers, learn through real design discussions, and grow your technical depth across cloud and modern AI frameworks. If you enjoy solving tough problems and iterating quickly with feedback, you'll fit right in.<br>
</p><p><br>
As an Applied AI ML Engineer in LLM Suite Engineering, Senior Associate, you will design, build, and troubleshoot software that enables AI/ML and agentic experiences on the platform. You will write secure, high-quality code and support algorithms that integrate with existing systems. You will collaborate with senior engineers on designs and implementation choices, focusing on reliability and operational stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks and applies feedback.</p><p>
</p><p><b>Job Responsibilities</b></p><ul><li>
Design, develop, and troubleshoot software solutions using creative approaches to solve complex technical challenges</li><li>
Write secure, high-quality production code and maintain algorithms that integrate with existing systems</li><li>
Collaborate with senior engineers and participate in design discussions</li><li>
Build AI/ML solutions and agentic systems for the LLM Suite platform using public cloud architecture (Azure, AWS) and modern agentic frameworks</li><li>
Implement GenAI services leveraging Azure OpenAI models and AWS Bedrock</li><li>
Collaborate openly with the team, seek feedback, and apply it to improve outcomes</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills</b></p><ul><li>
Computer science degree or equivalent practical experience</li><li>
Hands-on experience with system design, application development, testing, and operational stability</li><li>
Strong understanding of the Software Development Life Cycle</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills</b></p><ul><li>
Experience implementing GenAI services leveraging Azure OpenAI models and AWS Bedrock</li><li>
Proficiency in Python (FastAPI)</li><li>
Experience building microservices and APIs</li><li>
Experience with elastic compute, NoSQL databases, and messaging queues</li><li>
Proficiency working with large language models and building agents with LangGraph</li><li>
Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages, including containerization</li>
Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators<br>
<li>
<br>
#LLMSuiteEngineering_jobs</li></ul>
<b>ABOUT US</b><br>
<br>
<br>
<div><p>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.<br>
<br>
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.</p><br>
</div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
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>

Applied AI ML Software Engineer III - LLM Suite Engineering - Senior Associate

Software Engineer, AI Native Development

MBN Solutions

<div>
 <p>
  <strong>
   AI Engineer &ndash; Human Behaviour &ndash; Early stage startup - London, Hybrid (3 days per week) - &pound;80,000 to &pound;120,000 + Equity
  </strong>
 </p>
 <p>
  Businesses have always relied on historical data to understand what customers have done. This startup is changing that. By simulating thousands of autonomous AI agents that model human behaviour, organisations can predict how customers are likely to respond before launching a product, changing pricing or making strategic decisions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Story so far:
  </strong>
 </p>
 <p>
  This is a rare opportunity to join a very early stage, well funded AI startup at the earliest stage of its journey, working alongside second time founders with previous successful exits and leadership experience at some of the world's leading technology companies.
 </p>
 <p>
  Having recently secured multi million pound pre seed funding, the business has already validated its technology with paying enterprise customers and is now building the first production version of a platform that aims to predict human behaviour using AI driven simulations.
 </p>
 <p>
  Rather than relying on historical analytics, the platform creates thousands of autonomous AI agents that simulate customer behaviour, allowing organisations to test pricing, commercial strategies and decision making before deploying them in the real world.
 </p>
 <p>
  Over the next few months you'll play a key role in taking successful pilots into a scalable product while working directly with customers and helping shape the technical direction of the business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The team:
  </strong>
 </p>
 <p>
  <strong>
   Founder 1
  </strong>
 </p>
 <p>
  An ex Meta AI engineer with over a decade of experience building production AI systems. A proven technical founder who has already built one successful AI startup and is now starting again
 </p>
 <p>
  <strong>
   Founder 2
  </strong>
 </p>
 <p>
  A second time founder whose previous company was acquired by a massive wearable company. Former Venture Partner with deep experience across startups, fundraising and scaling technology businesses.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The role
  </strong>
 </p>
 <p>
  You'll work closely with AI researchers and software engineers to build an AI first product from the ground up.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This is a hands on engineering role where you'll be developing and deploying production grade multi agent systems at scale, helping improve model quality and reliability while ensuring the platform can support tens of thousands of autonomous agents.
 </p>
 <p>
  You'll be involved in:
 </p>
 <ul>
  <li>
   Building and deploying production multi agent AI systems with 25k Agnets
  </li>
  <li>
   Improving LLM performance through evaluation and experimentation
  </li>
  <li>
   Reducing hallucinations and improving model reliability
  </li>
  <li>
   Working with open source foundation models, inference optimisation and quantisation
  </li>
  <li>
   Collaborating with researchers to translate cutting edge ideas into production software
  </li>
  <li>
   Building AI capabilities that become core to the product
  </li>
  <li>
   Working directly with enterprise customers to understand requirements and deliver solutions
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we're looking for
  </strong>
 </p>
 <ul>
  <li>
   5+ years of software or AI engineering experience
  </li>
  <li>
   Experience building and deploying AI applications into production
  </li>
  <li>
   Strong Python skills
  </li>
  <li>
   Experience working with LLMs and modern AI frameworks
  </li>
  <li>
   Understanding of inference, model optimisation and evaluation frameworks
  </li>
  <li>
   Experience with multi agent systems &ndash; CrewAI, LangGraph, etc
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Experience training or fine tuning open source models
  </li>
  <li>
   Experience building evaluation pipelines for LLM applications
  </li>
  <li>
   Background in machine learning, NLP or applied AI research
  </li>
  <li>
   Experience in startups from Seed to Series A
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Interested?
  </strong>
 </p>
 <p>
  If you&rsquo;d like to hear more, apply now or get in touch:
 </p>
 <p>
  mo@mbnsolutions.com
 </p>
 <p>
  02037736498
 </p>
</div>


Artificial Intelligence Engineer

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.</p><p>
As a Software Engineer III in the Securities Services team within the Commercial &amp; Investment Bank, you will design and deliver secure, scalable technology products that drive business success. You will build and evolve a shared frontend platform and reusable UI patterns, focusing on performance, accessibility, and developer experience. You will help deliver AI-enabled user experiences and accelerate engineering velocity by responsibly using modern AI developer tools. Your work will directly impact our customers and the way we build technology.</p><p>
This is a pure frontend position with a strong AI focus: you will help deliver AI-enabled user experiences and raise engineering velocity by using modern AI developer tools responsibly (e.g., AI-assisted coding, debugging, and test generation), while maintaining a high bar for correctness, security, and quality.</p><p><b>
Job Responsibilities:</b></p><ul><li>
Design, develop, and troubleshoot creative software solutions for technical challenges.</li><li>
Write secure, high-quality production code and maintain UI logic that integrates with shared platforms.</li><li>
Develop and maintain reusable React components and UI patterns for complex workflows.</li><li>
Build high-performance, data-intensive user interfaces using profiling and optimization techniques.</li><li>
Engineer accessible, inclusive experiences by partnering with UX and design teams.</li><li>
Write and maintain automated tests (unit, integration, end-to-end) to ensure reliability and quality.</li><li>
Collaborate with UX designers, product stakeholders, and developers to build custom UI components; develop tools and automated processes to streamline development and enhance developer experience.</li><li>
Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.</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>
Build Generative AI interface solutions using React and TypeScript, following CI/CD standards.</li><li>
Actively use AI development tools for code generation, refactoring, debugging, documentation, and testing; work closely with Product, UX, and cross-functional partners to deliver capabilities in agile sprints.</li></ul><p>
</p><p><b>Required Qualifications, Capabilities, and Skills:</b></p><ul><li>
Formal training or certification in software engineering.</li><li>
Expertise in HTML, CSS, JavaScript, React, TypeScript, and state management.</li><li>
Experience optimizing and debugging performance and memory issues in web applications.</li><li>
Strong communication and collaboration skills with cross-functional teams.</li><li>
Familiarity with agile methodologies, production readiness, and security-aware development.</li><li>
Experience maintaining production UI code in large development teams.</li><li>
Understanding of user experience principles and customer-oriented development.</li><li>
Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.</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; ability to guide peers on safe and effective usage within team practices.</li><li>
Testing experience with component/unit and end-to-end tools (e.g., React Testing Library, Cypress, Playwright).</li><li>
Experience building or integrating Generative AI features in frontend products.</li></ul><p>
</p><p><b>Preferred Qualifications, Capabilities, and Skills:</b></p><ul><li>
Exposure to cloud technologies and modern web delivery.</li><li>
Experience with shared UI platforms or component libraries.</li><li>
Strong accessibility engineering, including WCAG compliance and remediation.</li><li>
Understanding of software best practices, development lifecycle, and Agile tools.</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>

Software Engineer III - React / TypeScript, Gen AI, Frontend

Digital Waffle

<div>
 <p>
  <strong>
   AI Software Engineer
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Onsite role in Soho
   </strong>
  </li>
  <li>
   <strong>
    &pound;80-120k depending on experience
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re on a mission to reinvent how AI understands people &mdash; not through CVs or data points, but through story, reasoning, and curiosity. We&rsquo;re building systems that listen, interpret, and understand
  <em>
   why
  </em>
  people say what they say. The goal? Create AI that perceives
  <strong>
   human potential
  </strong>
  , not just human input.
 </p>
 <p>
  If you love working on ideas that feel impossible &mdash; keep reading.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Role
  </strong>
 </p>
 <p>
  We&rsquo;re looking for an engineer who blends
  <strong>
   technical depth with creative instinct
  </strong>
  .
 </p>
 <p>
  You&rsquo;ll work directly with founders to shape the
  <strong>
   intelligence layer
  </strong>
  behind a new generation of human-aware AI &mdash; from LLM reasoning and semantic understanding to full-stack experiences that feel emotionally intelligent.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;ve worked in a
  <strong>
   disruptive industry
  </strong>
  and built something brand new &mdash; not just improved what already existed &mdash; this will feel familiar.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Be Building
  </strong>
 </p>
 <ul>
  <li>
   Core intelligence systems: LLM orchestration, semantic reasoning, and voice understanding
  </li>
  <li>
   Fast, intuitive interfaces that make human-AI interaction feel alive
  </li>
  <li>
   Rapid prototypes that turn bold ideas into working products
  </li>
  <li>
   Scalable infrastructure for experimentation and learning
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You&rsquo;ll Thrive Here If You
  </strong>
 </p>
 <ul>
  <li>
   Come from a
   <strong>
    disruptive, fast-moving environment
   </strong>
  </li>
  <li>
   Have helped launch or shape
   <strong>
    new ideas, products, or technologies
   </strong>
  </li>
  <li>
   Think in systems and build with elegance
  </li>
  <li>
   Believe speed drives creativity
  </li>
  <li>
   Are curious about human cognition and behaviour
  </li>
  <li>
   Value truth, craft, and collaboration over hierarchy
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You Bring
  </strong>
 </p>
 <ul>
  <li>
   Deep fluency in
   <strong>
    TypeScript
   </strong>
   and modern frameworks
  </li>
  <li>
   Experience with
   <strong>
    vector databases
   </strong>
   and
   <strong>
    embeddings
   </strong>
  </li>
  <li>
   Strength in
   <strong>
    LLM fine-tuning
   </strong>
   or multimodal reasoning
  </li>
  <li>
   Proven ability to ship full-stack products fast
  </li>
  <li>
   Strong
   <strong>
    Python
   </strong>
   skills
  </li>
  <li>
   Experience using
   <strong>
    Gemini
   </strong>
   would be preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The Culture
  </strong>
 </p>
 <p>
  Just a small, ambitious team that debates hard, builds fast, and chases ideas that matter.
 </p>
</div>


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