software engineer

ai engineer

senior software engineer

senior ai engineer

full stack engineer

ai integration engineer

Houseful

<div>6 months Initial Contract - Must work from the UK
Alto Software Group (ASG) is a leading B2B SaaS platform serving the UK property industry. We power thousands of estate agency branches and support a significant proportion of UK housing transactions each year.
We are building a data-driven, operationally efficient platform business. AI will be a structural lever in improving internal productivity, reducing operational cost, and enhancing customer experience.
This is a hands-on delivery role responsible for building the automations and AI integrations that embed AI into how we operate.
The Role
We are hiring a contract AI Engineer to build, deploy and maintain AI-enabled automations across our core systems stack. Working with the Principal Engineer and the Head of AI Operations, you will take prioritised automation opportunities from design through to production.
You will deliver against an internal AI roadmap spanning Customer Operations, Marketing, Finance, Education and Training to:<ul><li>Automate high-volume, manual administrative workflows</li><li>Build AI-enabled workflows in Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Turn the Mission Control data platform into an engine for event-triggered automation</li><li>Reduce operational overhead and improve reporting speed and accuracy</li></ul>
Core ResponsibilitiesAutomation Build &amp; Integration<ul><li>Build and maintain automation pipelines using n8n, Zapier/Make and direct LLM API integrations (OpenAI/Anthropic)</li><li>Develop API and webhook integrations across Salesforce, Zendesk, HubSpot, Zuora and Thrive LMS</li><li>Implement workflows such as ticket summarisation, tagging, routing and AI triage</li></ul>
AI Engineering<ul><li>Design and implement RAG pipelines and vector database integrations over internal knowledge</li><li>Develop, test and version prompts; evaluate and improve output quality</li><li>Build event-triggered automations and AI-enabled reporting on Mission Control</li></ul>
Quality, Security &amp; Handover<ul><li>Apply sound engineering standards: error handling, logging and monitoring of automations in production</li><li>Ensure GDPR-compliant, secure handling of customer and company data</li><li>Document solutions clearly and hand over to internal teams for ongoing operation</li></ul>
What Success Looks Like (First 6 Months)<ul><li>Priority automation workflows live, stable and monitored in production</li><li>Measurable reduction in manual effort in targeted workflows</li><li>Reliable integrations across the core systems stack</li><li>Clear documentation enabling internal teams to operate and extend what you build</li></ul>
Required ExperienceTechnical<ul><li>Proven delivery of LLM-based automation in production environments</li><li>Strong experience with automation platforms (n8n, Make or Zapier)</li><li>Proficiency in Python and SQL</li><li>Strong API and webhook integration capability</li><li>Experience working with OpenAI/Anthropic APIs and prompt engineering</li><li>Experience building RAG pipelines and working with vector databases</li><li>Experience automating CRM (Salesforce) and support (Zendesk) environments preferred</li></ul>
Delivery<ul><li>Experience operating in B2B SaaS or similar fast-moving environments</li><li>Track record of delivering as a contractor: scoping, building and handing over cleanly</li><li>Comfortable working with non-technical stakeholders to refine requirements</li></ul>
Personal Attributes<ul><li>Delivery-focused and pragmatic</li><li>High agency and accountability</li><li>Structured, with strong attention to reliability and security</li><li>Comfortable working in ambiguity</li><li>Clear communicator with technical and non-technical audiences</li></ul>
Why This Role Matters
AI will be a structural margin lever for ASG. The automations you build will directly reduce operational cost, increase capacity without incremental headcount, and embed AI as core operational infrastructure rather than experimentation.</div>

AI Engineer (Contract)

AnvilEight

Publication date: 
23/06/2026
 
Job type: 
Full-time
 
Salary: 
Up to $3'000 / month
 
Technologies
 
n8n
 
Make.com
 
Python
 
LLM APIs
 
PostgreSQL
 
REST APIs
 
We're hiring a Senior AI Engineer to design and ship
 automation that connects our tools, data and AI models. You'll build reliable
 workflows in n8n and Make.com, back them with Python services and databases, and
 wire in large language models to automate real business processes end-to-end —
 from data ingestion to action. This is a hands-on, high-ownership role: you'll
 turn fuzzy business needs into dependable automated systems and own the platform
 they run on.
 
What you'll do
 
Design, build and maintain automation workflows in n8n and Make.com;
 Integrate third-party APIs, webhooks and internal services into reliable end-to-end pipelines;
 Write Python services, glue code and scheduled jobs that extend what no-code tools can do on their own;
 Model, store and query data in SQL databases that back the automations;
 Integrate LLM / AI APIs — prompt design, retrieval-augmented generation (RAG) and structured extraction — to automate real business tasks;
 Add monitoring, error handling, retries and alerting so workflows run dependably in production;
 Document the platform and own it as it grows.
 
Requirements
 
3+ years building automations and integrations, with hands-on experience in n8n and/or Make.com (Zapier a plus);
 Solid Python for scripting, API integration and data transformation;
 Strong SQL and relational-database skills (PostgreSQL preferred) — querying, joins and schema design;
 Comfortable with REST APIs, webhooks, JSON and OAuth / authentication flows;
 Practical experience integrating LLM / AI APIs (OpenAI or similar) into real workflows;
 Understanding of error handling, idempotency, rate limits and observability in automations;
 Bonus: Docker, vector databases / RAG, message queues, and JavaScript for n8n Function nodes;
 Clear English and the ability to turn fuzzy business needs into reliable automated processes.
 
We provide our engineers
 
Free English classes, technical lectures and courses.
 
You get 22 working days of annual leave.
 
We pay for your illness. We don't need a sick list.
 
An ability to plan your working day.
 
Modern cozy office in the city center.

Senior AI Engineer

Accenture UK & Ireland

<div>
 
 Role- Commerce Engineer (Generative AI)
 
 
 
 
 Level- Consultant
 
 
 
 
 Location- London
 
 
 
 Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: www.accenture.com/song
 
 
 As a Commerce Engineer at Accenture Song, you'll be at the sharp end of building the next generation of agentic commerce &mdash; designing, prototyping and shipping AI-powered experiences for some of the world's leading retail and consumer brands. You'll work at the intersection of client needs, creative problem-solving and hands-on engineering, using generative AI and modern development tools to turn ideas into working solutions.
 
 
 This is a role for someone who is comfortable with code, confident with clients and curious about how AI can reshape commerce. You should be technically confident, commercially curious and able to make complex AI concepts understandable to non-technical stakeholders.
 
 
 
 What You Will Do
 
 
 
 
 <li>
 Work directly with clients, strategists, designers, architects and delivery teams to shape AI-powered commerce use cases and turn them into working solutions.
 
 </li>
 <li>
 Build working prototypes and contribute to production-ready solutions, using AI tools to accelerate delivery.
 
 </li>
 <li>
 Develop AI-enabled applications and integrations using Python, LLM APIs and modern application development patterns.
 
 </li>
 <li>
 Apply practical generative AI concepts such as RAG, embeddings, vector search, prompt orchestration and tool/function calling.
 
 </li>
 <li>
 Connect AI capabilities with APIs, structured and unstructured data, content systems and commerce platforms to create genuinely joined-up customer experiences.
 
 </li>
 <li>
 Architect and implement data solutions that power AI at scale &mdash; designing pipelines and databases across SQL and NoSQL technologies to handle the volume and complexity of enterprise commerce data.
 
 </li>
 <li>
 Explain technical ideas clearly to both technical and non-technical audiences, helping clients understand how AI solutions work and what trade-offs are involved.
 
 </li>
 <li>
 Work within agile delivery teams, bringing rigour to solution design, engineering best practices and DevSecOps across the full delivery lifecycle.
 
 
 
 </li>
 
 Qualifications
 
 
 
 
 <li>
 Proven experience in a client-facing technical role, translating business needs into practical technical solutions.
 
 </li>
 <li>
 Hands-on Python development experience, with the ability to build working applications, prototypes or service integrations.
 
 </li>
 <li>
 Practical experience integrating LLM APIs such as OpenAI, Google Gemini, Vertex AI or similar.
 
 </li>
 <li>
 Good working understanding of core generative AI patterns including RAG, embeddings, vector databases and LLM orchestration.
 
 </li>
 <li>
 Comfortable contributing to production delivery, including version control, code reviews, testing, documentation and established engineering practices.
 
 
 
 </li>
 
 Set yourself apart
 
 
 
 
 <li>
 Experience in commerce, retail, consumer goods or customer experience environments.
 
 </li>
 <li>
 Familiarity with commerce platforms, content platforms, CRM, product information or order management systems.
 
 </li>
 <li>
 Familiarity with agentic AI patterns, workflow orchestration or frameworks such as LangChain, CrewAI, AutoGen or similar.
 
 </li>
 <li>
 Hands-on experience with vector databases or search platforms.
 
 </li>
 <li>
 A background that blends engineering with business, design, creative or product thinking.
 
 
 
 </li>
 
 What We'll Give You...
 
 
 
 A thriving career with the chance to learn from passionate, talented colleagues and mentors. Exciting and varied client work with as much opportunity as you can handle. And a hugely sociable team to get to know.
 
 
 Our Total Rewards consist of a competitive basic salary, annual performance bonus, opportunities to acquire equity and a wide range of health and wellbeing benefits. These include perks such as:
 
 
 
 <li>
 Up to 30 days of leave to spend each year plus 3 extra volunteering days per year for charitable work of choice.
 
 </li>
 <li>
 Family-friendly and flexible working policies.
 
 </li>
 <li>
 A range of generous Parental Leave offerings.
 
 </li>
 <li>
 Attractive pension plan with financial wellbeing support and resources.
 
 </li>
 <li>
 Private healthcare insurance plan and Mental Wellbeing support.
 
 </li>
 <li>
 Employee Assistance Programme, Career Development and Counselling.
 
 
 
 </li>
 Please note that with all of our roles, you should expect some in-person time for collaboration, learning and building relationships with clients, peers, leaders and communities.
 
 
 As an employer, we will be as flexible as possible to support your specific work/life needs.
 
 
 Application Deadline: Ongoing
 
 
 Accenture reserves the right to close the role, at any time.
 
 
</div>

GenAI Commerce Engineer

Software Engineer, AI Native Development

Kryptos Technologies Limited

<div><h2 class="jobSectionHeader">Tasks</h2>

AWS QA Engineer (App Modernization &amp; AI-driven Testing)

Duration: 4 -6 months

Location: London -Hybrid (3 Days onsite)

Role Overview

We are seeking a skilled AWS QA Engineer with strong experience in testing serverless and event-driven architectures. The role focuses on validating modern cloud-native applications built on AWS, ensuring high quality across application modernization programs, while leveraging AI-assisted testing using AWS Kiro.

Key Responsibilities

Functional &amp; Automation Testing (AWS Serverless)
<ul>
<li>Design, develop, and execute test strategies and test cases for applications built on:
</li>
<li>AWS Lambda, API Gateway
</li>
<li>Amazon EventBridge
</li>
<li>Amazon Kinesis Data Streams
</li>
<li>Validate event-driven and streaming workflows, including message processing and data consistency.
</li>
<li>Develop automated test scripts to validate:
</li>
<li>API responses
</li>
<li>Event flows and triggers
</li>
<li>Data persistence in DynamoDB / S3
</li>
</ul>Event-driven &amp; Streaming Validation
<ul>
<li>Create and execute test scenarios for:
</li>
<li>Kinesis stream data ingestion and processing
</li>
<li>Event orchestration via EventBridge
</li>
<li>Validate end-to-end workflows across microservices and serverless components.
</li>
<li>Perform integration testing and contract testing across services.
</li>
</ul>Application Modernization Testing
<ul>
<li>Support testing for modernized applications (legacy cloud-native).
</li>
<li>Perform:
</li>
<li>Functional testing
</li>
<li>Regression testing (pre/post migration comparison)
</li>
<li>System Integration Testing (SIT)
</li>
<li>Validate API-driven and microservices-based architectures [AWS Server...sting v1.0 | PowerPoint]
</li>
</ul>AI-driven Testing (Kiro)
<ul>
<li>Leverage AWS Kiro for AI-assisted testing to improve productivity.
</li>
<li>Use AI for:
</li>
<li>Test case generation
</li>
<li>Test data preparation
</li>
<li>Automated validation and defect detection
</li>
<li>Contribute to AI-enabled quality engineering practices.
</li>
</ul>Performance, Reliability &amp; Security Testing
<ul>
<li>Execute:
</li>
<li>Performance and load testing for serverless workloads
</li>
<li>Resilience and failure scenario testing (event loss, retries, scaling)
</li>
<li>Validate:
</li>
<li>Security and access controls (IAM roles, authentication flows)
</li>
<li>Data integrity and system reliability
</li>
</ul>Automation &amp; DevOps Integration
<ul>
<li>Build and maintain automated testing frameworks for AWS workloads.
</li>
<li>Integrate testing into CI/CD pipelines.
</li>
<li>Enable automated validation for:
</li>
<li>Serverless APIs
</li>
<li>Event-driven systems
</li>
<li>Ensure continuous testing and fast feedback cycles.
</li>
</ul><h2 class="jobSectionHeader">Requirements</h2>

Required Skills &amp; Experience

Core Testing &amp; AWS Skills
<ul>
<li>Strong experience in QA / Automation testing for cloud applications
</li>
<li>Hands-on experience with:
</li>
<li>AWS Lambda
</li>
<li>Amazon EventBridge
</li>
<li>Amazon Kinesis Data Streams
</li>
<li>API Gateway
</li>
<li>DynamoDB and S3
</li>
<li>Experience testing event-driven and serverless architectures
</li>
<li>Test Automation &amp; Tools
</li>
<li>Experience with:
</li>
<li>Automation frameworks (Jest framework, Java/Springboot, or similar)
</li>
<li>API testing tools (Postman, REST clients)
</li>
<li>Ability to:
</li>
<li>Create automated test suites
</li>
<li>Validate JSON-based inputs/outputs for APIs and events
</li>
<li>Knowledge of:
</li>
<li>BDD frameworks (Cucumber - good to have)
</li>
</ul>Application Modernization Testing
<ul>
<li>Experience in testing:</li>
<li>Microservices architectures</li>
<li>API-first systems</li>
<li>Strong understanding of:</li>
<li>Integration flows</li>
<li>Data validation across distributed systems</li>
</ul>
AI &amp; Innovation
<ul>
<li>Exposure to:</li>
<li>AI-assisted testing (AWS Kiro preferred)</li>
<li>Test automation using GenAI tools</li>
<li>Interest in driving AI-enabled QA practices</li>
</ul>
DevOps &amp; Engineering Practices
<ul>
<li>Experience integrating tests within:</li>
<li>CI/CD pipelines (GitHub Actions, Jenkins)</li>
<li>Familiarity with:</li>
<li>Infrastructure as Code validation (CDK)</li>
<li>Monitoring tools (CloudWatch)</li>
</ul>
Preferred Qualifications
<ul>
<li>AWS Certified (Developer or Cloud Practitioner)</li>
<li>Experience with:</li>
<li>Streaming platforms (Kafka/MSK)</li>
<li>Performance and security testing tools</li>
<li>Exposure to enterprise-scale AWS modernization programs</li></ul></div>

AWS QA Engineer ( App Modernization & AI driven Testing)

HCLTech

City Of London, England
 Job Summary
 
Job Title: Physical AI Engineer (Robotics & Agentic Systems)
 We are looking for an engineer to build the Physical AI solutions using Robotics and edge devices on Google stack. You will integrate Deepmind Robotics model with Gemini 3 foundation models to create autonomous agents that perceive, reason, and act in dynamic industrial environments. Your work will involve moving Physical AI from simulation (MuJoCo-Warp) to production-grade hardware at scale.
 
Key Responsibilities
 
Key Responsibilities
 <ul>
<li>Model Integration: Deploy Gemini Robotics-ER (Embodied Reasoning) models to enable robots to understand natural language instructions and physical causality.</li>
<li>Workflow Orchestration: Utilize the Gemini Enterprise Agent Platform to build agentic workflows that connect cloud-based reasoning with edge-based execution.</li>
<li>Simulation & Training: Use MuJoCo-Warp and G4 VMs (NVIDIA Blackwell) to run high-fidelity simulations, generating synthetic data to train robots on complex edge cases.</li>
<li>Hardware Abstraction: Work within Intrinsic Flowstate to develop hardware-agnostic "Skills" (robotic behaviors) that can be deployed across various robotic arms and sensors (Universal Robots, Foxconn, etc.).</li>
<li>System Optimization: Implement the JAX AI Stack (JAX, Flax, Optax) for efficient, accelerator-oriented computation on Google TPUs and NVIDIA GPUs.</li>
</ul>
Skill Requirements
 
Technical Requirements
 Category Stack Components
 Foundation Models Gemini 1.5/3.0, RT-2 (Robotics Transformer), Gemini Robotics-ER
 Software Platform Intrinsic Flowstate, ROS 2 (Robot Operating System), Python
 Compute & Infra Google Cloud Vertex AI, Google Distributed Cloud (Edge), TPUs
 Physics Engines MuJoCo-Warp, NVIDIA Isaac Sim integration
 Data & ML JAX, XLA (Accelerated Linear Algebra), Orbax (Checkpointing)
 
#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

Principal Engineer

<div>
 
 Job Description
 
 
 
 We&rsquo;re seeking a future team member for the role of
 
 AI-Forward Software Engineer &mdash; AI Transformation Office
 
 ,
 
 Senior Vice President
 
 to join our team. This role is located in
 
 London
 
 .
 
 
 We are looking for a hands-on, AI-forward engineer to build and ship production-grade GenAI and agentic automation solutions as part of BNY's centralized AI Transformation Office. This is not a traditional engineering role - we are not looking for engineers who use AI tools occasionally. We need engineers who have fundamentally changed how they work: using tools like Claude Code and Windsurf daily, moving faster because of it, and bringing that AI-first mindset to everything from architecture decisions to code reviews.
 
 
 In this role, you&rsquo;ll make an impact in the following ways:
 
 
 <ul>
 <li>
 Analytical skills - understand the business problem first; leverage AI tools to accelerate solution design, not replace the thinking
 </li>
 <li>
 Initiative &amp; Ownership - run with tasks end-to-end, from scoping and prototyping to deployment, using AI-native tooling throughout - not just for coding, but across the entire workflow including design, testing, and documentation
 </li>
 <li>
 Build and contribute to AI-forward architecture standards - including prompt engineering patterns, agentic workflow design, and LLM integration guidelines
 </li>
 <li>
 Work with Product Owners, LOB stakeholders, and architects to design, prototype, and deliver AI-powered solutions spanning automation, workflow orchestration, and client-facing tooling
 </li>
 <li>
 Participate in code reviews with an AI-first lens - evaluating not just the code, but how effectively AI tooling was leveraged in the build
 </li>
 <li>
 Software engineering experience with demonstrable, recent use of AI-native development tools as a core part of daily workflow - not a side habit
 
 
 </li>
 </ul>
 To be successful in this role, we&rsquo;re seeking the following:
 
 
 <ul>
 <li>
 Required Skills
 </li>
 <ul>
 <li>
 Daily proficiency with AI coding tools such as Claude Code, Windsurf, Cursor, or GitHub Copilot - this is a baseline requirement, not a differentiator
 </li>
 <li>
 Python and/or Java for backend service development
 </li>
 <li>
 LLM integration experience - OpenAI, Anthropic, or equivalent APIs
 </li>
 <li>
 MCP, REST APIs, Microservices Architecture
 </li>
 <li>
 Cloud platforms - AWS, Azure, or GCP
 </li>
 </ul>
 <li>
 Preferred
 </li>
 <ul>
 <li>
 Agentic framework experience - LangChain, LangGraph, AutoGen, or similar
 </li>
 <li>
 RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector)
 </li>
 <li>
 Agile / SDLC tooling - Jira, Git, CI/CD pipelines
 
 </li>
 </ul>
 </ul>
 
 About Us
 
 
 
 At BNY, our culture allows us to run our company better and enables employees&rsquo; growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world&rsquo;s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
 
 
 Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance &ndash; and this is what is all about. Join us and be part of something extraordinary.
 
 
 
 About The Team
 
 
 
 At BNY, our culture speaks for itself, check out the latest BNY news at: BNY Newsroom &amp; BNY LinkedIn
 
 
 
 Here&rsquo;s a Few Of Our Recent Awards
 
 
 
 <ul>
 <li>
 America&rsquo;s Most Innovative Companies, Fortune, 2025
 </li>
 <li>
 World&rsquo;s Most Admired Companies, Fortune 2025
 </li>
 <li>
 &ldquo;Most Just Companies&rdquo;, Just Capital and CNBC, 2025
 
 
 </li>
 </ul>
 
 Our Benefits And Rewards
 
 
 
 BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life&rsquo;s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
 
 
 BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
</div>

AI-Forward Software Engineer — AI Transformation Office, Senior Vice President

Explore 888+ Ai integration engineer in London this July. Find roles across top companies and apply now to boost your career.