Client-Facing AI Native Software Engineer

Client-Facing AI Native Software Engineer

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

  • Tasks: Transform client software development with AI-native tools and improve workflows.
  • Company: Join Indicium AI, a leader in innovative AI solutions.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Dynamic role with opportunities to work at senior engineering levels.
  • Why this job: Make a real impact by collaborating with top-tier clients and shaping the future of software.
  • Qualifications: Experience in software engineering and a passion for AI technologies.

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

Indicium AI is hiring for a Forward Deployed Software Engineer to embed with client engineering teams and transform how they build software with AI-native development, Claude Code integration, and agentic tooling. You will shape workflows, review processes, and production pipelines, delivering measurable improvements in delivery speed and quality.

You will collaborate with top-tier clients in the UK, operating at senior engineering leadership levels, and you will help scale AI-native practices.

Client-Facing AI Native Software Engineer employer: Indicium AI

As a People Leader in Europe, you will join a dynamic and inclusive work culture that prioritises employee well-being and professional growth. Our commitment to competitive compensation, comprehensive benefits, and a supportive environment fosters engagement and retention, making us an exceptional employer in the UK and Portugal. With opportunities to shape our people strategy and collaborate with global leaders, you will play a pivotal role in driving our mission forward while enjoying the unique advantages of working in a fast-growing, international organisation.

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Contact Details:

Indicium AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Client-Facing AI Native Software 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 Indicium AI 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 Indicium AI.

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 Indicium AI.

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 Indicium AI 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 Client-Facing AI Native Software Engineer

AI-native development
Claude Code integration
Agentic tooling
Workflow shaping
Review processes
Production pipelines
Delivery speed improvement

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 Indicium AI.

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

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 Indicium AI 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.