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- Tasks: Join a dynamic team to develop AI-driven software solutions and tackle legacy tech challenges.
- Company: Be part of an innovative consultancy led by experienced CTOs focused on AI advancements.
- Benefits: Enjoy remote work flexibility and the chance to experiment with cutting-edge AI tools.
- Why this job: Work on impactful projects that reshape businesses while enhancing your AI skills in a supportive culture.
- Qualifications: Experience with legacy systems and strong communication skills are essential; programming language flexibility is welcomed.
- Other info: This is a remote-first role with occasional UK meetings.
The predicted salary is between 36000 - 60000 £ per year.
Are you an experienced software engineer who embraces AI tools? Do you want the freedom to experiment and implement AI tooling? Want to ensure your AI skills stay ahead of the wider market? If so, I want to talk to you!
I'm working with an early-stage consultancy, run by a couple of seriously heavyweight CTOs who are building out an AI-first software team. They already have a number of significant projects in the pipeline and want experienced engineers who love using AI in their day-to-day work.
They are building a niche, working with larger businesses with legacy elements in their tech stack to rebuild and replace systems that would not have been economically viable without the recent advances in AI. They are looking for experienced engineers who have already spent time grappling with legacy issues and understand how to make pragmatic decisions around business constraints.
You’ll need strong communication skills as you’ll be client-facing at times. We’re open-minded about your preferred programming language and welcome applications from polyglots e.g. Python, .NET, Java, Node, PHP, Ruby etc.
You’ll need to be based in the UK for very occasional meetings but this is a remote-first position. Get in touch for full details on the role and this business.
Software Engineer (AI enabled) (England) employer: talenty
Contact Detail:
talenty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (AI enabled) (England)
✨Tip Number 1
Familiarise yourself with the latest AI tools and technologies relevant to software engineering. Being able to discuss specific AI applications you've worked with will show your enthusiasm and expertise during conversations.
✨Tip Number 2
Prepare examples of how you've tackled legacy systems in previous roles. Highlighting your problem-solving skills and ability to make pragmatic decisions will resonate well with the consultancy's focus on rebuilding tech stacks.
✨Tip Number 3
Brush up on your communication skills, especially in a client-facing context. Practising how to explain complex technical concepts in simple terms can set you apart during discussions with potential employers.
✨Tip Number 4
Network with professionals in the AI and software engineering fields. Engaging with communities or attending meetups can provide insights into industry trends and may even lead to referrals for the position you're interested in.
We think you need these skills to ace Software Engineer (AI enabled) (England)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI tools and legacy systems. Emphasise any projects where you've successfully implemented AI solutions, as well as your programming language proficiency.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for AI and how it drives your work. Mention specific examples of how you've used AI in past roles and your approach to overcoming legacy challenges.
Showcase Communication Skills: Since the role involves client interaction, demonstrate your strong communication skills in your application. You could include examples of how you've effectively communicated technical concepts to non-technical stakeholders.
Highlight Flexibility and Remote Work Experience: As this is a remote-first position, mention any previous remote work experience. Discuss how you manage your time and collaborate with teams in a virtual environment.
How to prepare for a job interview at talenty
✨Showcase Your AI Experience
Be prepared to discuss your experience with AI tools and how you've implemented them in past projects. Highlight specific examples where your AI skills made a significant impact.
✨Understand Legacy Systems
Since the role involves working with legacy tech stacks, brush up on your knowledge of common legacy issues. Be ready to explain how you've navigated these challenges in previous roles.
✨Demonstrate Communication Skills
As this position is client-facing, practice articulating complex technical concepts in simple terms. Prepare to discuss how you’ve effectively communicated with non-technical stakeholders in the past.
✨Be Open About Programming Languages
The company welcomes polyglots, so be honest about your programming language preferences. Discuss your adaptability and willingness to learn new languages if required for the role.
