Senior AI Systems Engineer for Co-Analyst in London

Senior AI Systems Engineer for Co-Analyst in London

London Full-Time 80100 - 97900 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Build and enhance AI features for Co-Analyst using Python and Go.
  • Company: Join ExTrac AI, a leader in innovative AI solutions.
  • Benefits: Enjoy a hybrid work environment with competitive pay and growth opportunities.
  • Other info: Dynamic role with a focus on security and scalability.
  • Why this job: Make a real impact in AI while collaborating with talented teams.
  • Qualifications: Experience in software engineering and a passion for AI technologies.

The predicted salary is between 80100 - 97900 £ per year.

Ex Trac AI is hiring a Senior Software Engineer to join the AI team, building Co-Analyst and analytic AI features.

You will own end-to-end production backends in Python and Go, with emphasis on agentic systems, vector search, and multi-language data processing.

You will work in a hybrid environment with weekly feature delivery cycles, collaborating with data, ML, and product teams to push robust, scalable services into production.

Security, observability, and cost control are core priorities.
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Senior AI Systems Engineer for Co-Analyst in London employer: ExTrac AI

ExTrac AI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among talented professionals. With a strong focus on employee growth, you will have access to continuous learning opportunities and the chance to work on cutting-edge AI technologies in a hybrid environment. Join us in our mission to build impactful analytic AI features while enjoying the benefits of a supportive team and a commitment to work-life balance.

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Contact Details:

ExTrac AI Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Systems Engineer for Co-Analyst in London

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 ExTrac 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 ExTrac 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 ExTrac 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 ExTrac 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 Senior AI Systems Engineer for Co-Analyst in London

Python
Go
Agentic Systems
Vector Search
Multi-Language Data Processing
Collaboration
Feature Delivery

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 ExTrac 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 ExTrac 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 ExTrac 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 ExTrac 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.