Agentic AI Engineer

Agentic AI Engineer

Full-Time 63000 - 77000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and implement AI workflows to automate software development activities.
  • Company: Join a forward-thinking tech company focused on innovative AI solutions.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous improvement and responsible AI practices.
  • Why this job: Be at the forefront of AI technology and make a real impact in software development.
  • Qualifications: Strong background in software engineering and experience with agentic AI tools.

The predicted salary is between 63000 - 77000 £ per year.

We're looking for an Agentic AI Engineer to join our team. In this role, you will design and implement agentic AI workflows that automate and accelerate software development activities, including coding, testing, quality assurance, and continuous integration. You will translate business requirements into practical AI-driven engineering solutions integrated with repositories, architecture, and CI/CD pipelines. The position involves building safe, controllable, and reusable AI patterns, ensuring proper validation, quality gates, and human oversight.

Responsibilities

  • Translate business requirements into agentic AI workflows across coding, review, testing, and defect resolution.
  • Build connected AI-driven pipelines that can develop code, execute tests, analyze failures, and refine implementations iteratively.
  • Assess existing repository, architecture, and technology stack before proposing automation solutions.
  • Embed validation controls, quality gates, evidence capture, safe stopping conditions, and human approval checkpoints in solutions.
  • Package and integrate agentic AI workflows for reuse across teams and development environments.
  • Ensure measurable outcomes aligned with quality, security, and regulatory compliance.
  • Collaborate with engineering, QA, and DevOps teams to scale AI-driven capabilities across the organization.
  • Support continuous improvement and responsible AI practices.

Requirements (Must Have Skills)

  • Strong hands-on background in software engineering, SDET, quality engineering, data engineering, DevOps, or platform engineering.
  • Proven experience using agentic AI tools such as GitHub Copilot and/or Databricks Genie.
  • Expertise in multi-step AI workflows for development lifecycle: code generation, review, testing, and iterative refinement.
  • Proficiency in automated testing, shift-left quality practices, Git-based workflows, pull requests, and CI/CD.
  • Ability to translate business problems into technical AI solutions with measurable control points.
  • Experience embedding human-in-the-loop validation, safe failure handling, and reusable automation patterns.

Nice to Have Skills

  • Experience creating custom Copilot agents or repository-aware AI prompts.
  • Familiarity with Databricks workflows, notebooks, pipelines, and data-quality engineering.
  • Knowledge of AI agent evaluation, regression testing, and performance benchmarking.
  • Exposure to static analysis, security testing, observability solutions, and responsible AI governance.
  • Experience scaling AI engineering capabilities across large programs or multiple teams.

Agentic AI Engineer employer: Vallum Associates

As an Electronics Test Engineer at our company, you will be part of a dynamic and innovative team dedicated to pushing the boundaries of technology in a collaborative work environment. We offer competitive benefits, a strong focus on employee development, and opportunities for career advancement, all while being located in a vibrant area that fosters creativity and growth. Join us to make a meaningful impact in the field of electronics testing and enjoy a rewarding career with us.

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Contact Details:

Vallum Associates Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Agentic AI Engineer

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 Vallum Associates 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 Vallum Associates.

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 Vallum Associates.

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 Vallum Associates 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 Agentic AI Engineer

Software Engineering
SDET
Quality Engineering
Data Engineering
DevOps
Platform Engineering
Agentic AI Tools (e.g., GitHub Copilot, Databricks Genie)

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 Vallum Associates.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Vallum Associates 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 Vallum Associates

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 Vallum Associates 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.