At a Glance
- Tasks: Lead the design and build of an AI platform for seamless software delivery automation.
- Company: Join Purview, a global leader in IT Engineering and Talent Solutions.
- Benefits: Enjoy hybrid work, competitive pay, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and diversity.
- Why this job: Make a real impact in AI engineering while working with cutting-edge technologies.
- Qualifications: 8+ years in AI and software engineering, with strong .NET/C# skills.
The predicted salary is between 70000 - 90000 £ per year.
Purview is a global leader in IT Engineering and Talent Solutions, trusted by Fortune 500 and mid-market clients across 21+ countries. Headquartered in Edinburgh, with delivery centres in India, our 1,200+ professionals drive meaningful digital transformation worldwide.
We’re currently hiring for the below role with one of our valued clients. If it aligns with your experience and aspirations, we’d love to hear from you.
Job Details:
- Location: London, UK
- Employment: Contract
- Place of Work: Hybrid - 2 days
- Experience Required: 8+ Years
Job Description:
We are looking for an experienced AI Platform Engineering Lead to design, build, and operationalise an enterprise Agentic AI Harness that enables end-to-end SDLC automation across .NET and Azure environments. The AI Engineer will be responsible for designing and implementing an agentic SDLC harness capable of supporting the full software delivery lifecycle.
AI and Agentic Engineering:
- Experience building AI agents, multi-agent workflows, or agentic orchestration systems.
- Prompt engineering, tool calling, structured outputs, agent memory, planning, routing, and evaluation patterns.
- Experience integrating LLMs with enterprise systems, repositories, APIs, and development workflows.
- Understanding of AI observability, tracing, evaluation, guardrails, and feedback loops.
- Awareness of frameworks such as Microsoft Agentic Framework, ADK, LangGraph, LangChain or LangFuse, will be beneficial but not mandatory.
Software Engineering:
- Strong experience with .NET / C#.
- Experience building APIs, services, backend systems, and cloud-native applications.
- Good understanding of software architecture, clean code principles, design patterns, secure coding practices, and Test-Driven Development (TDD) methodologies.
- Experience with unit testing, integration testing, functional testing, and automated test execution.
- Familiarity with test frameworks and automated testing tools used within the .NET ecosystem.
Responsibilities:
- Design and build an AI Agentic Harness that orchestrates multiple AI agents across the SDLC.
- Integrate the harness with development tools such as GitHub Copilot, GitHub, Azure DevOps, and CI/CD platforms.
- Build agents that can generate:
- Business and technical specifications
- Epics, features, and user stories
- Acceptance criteria
- Design decisions and architecture decision records
- Engineering tasks and implementation plans
- Test cases and test plans
- .NET application code
- Infrastructure-as-Code templates
- CI/CD pipeline templates
- Deployment documentation
- Execute the harness to generate working .NET / C# code.
- Build validation loops to review generated outputs for correctness, security, quality, and maintainability.
- Create test automation capabilities that generate and execute tests against produced code.
- Implement mechanisms for code review, quality checks, static analysis, and automated feedback.
- Ensure generated applications are deployable into Azure environments.
- Create reusable patterns, templates, prompts, workflows, and agent configurations.
- Implement observability and traceability for agent decisions, tool usage, prompts, responses, and generated artifacts.
- Work with architects, engineers, product owners, and platform teams to align the harness with enterprise engineering standards.
- Contribute to security, compliance, and governance controls around AI-generated software delivery.
- Continuously improve the harness based on output quality, developer feedback, and delivery outcomes.
Interested candidates please connect with us to get more details.
Artificial Intelligence Engineer in Slough employer: PURVIEW
Purview is an exceptional employer, offering a dynamic work culture that champions diversity and innovation in the heart of London. With a strong focus on employee growth, we provide opportunities for continuous learning and development within the rapidly evolving field of AI engineering. Our hybrid work model promotes flexibility, allowing you to balance professional and personal commitments while contributing to meaningful digital transformations for our esteemed clients.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Slough
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at PURVIEW or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to PURVIEW.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like PURVIEW.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like PURVIEW that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Artificial Intelligence Engineer in Slough
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at PURVIEW.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at PURVIEW and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at PURVIEW
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If PURVIEW uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
