FinTech Futures Jobs: How to use AI to get a new job this year
Generative AI is transforming business operations, and the advancement of agentic AI, or systems that can autonomously take actions, adapt to them in real-time, and solve multi-step problems based on context and objectives, is fuelling even greater adoption.
According to Gartner, by 2028, at least 15% of day-to-day decisions will be made autonomously through agentic AI – up from zero percent last year.
Employees and organisations are finding increasing ways to utilise AI. From automating routine tasks to idea generation, or crafting email and report outlines, there are a variety of ways the average knowledge worker can use generative AI tools to streamline their tasks.
Six UK jobs to look at this week:
- Chief Technology Officer, Medella Life, London Area
- Information Technology Analyst, Bestman Solutions, London Area
- Chief Technology Officer, EVera Recruitment, London Area
- Senior Systems Developer, NHS Blood and Transplant, Birmingham
- Product Implementation Manager, ClearCourse, London
- Senior Platform Engineer, Computershare, Bristol
However, according to Asana’s The State of AI at Work report, which was produced in partnership with Anthropic, “AI has reached a tipping point, but most organisations aren’t ready for it”.
More than 5,000 knowledge workers were surveyed across the UK and the US to identify how this tipping point is playing out. “As AI permeates organisations, a troubling reality emerges: most are dangerously underprepared,” the report states.
Amid this, a new trend is emerging: Bring your own AI (BYOAI). Employees are increasingly turning to assistive tools like Gemini, Perplexity, Claude or ChatGPT to do research, flesh out a document outline, summarise a meeting report, or generate a transcript from a video call.
There is plenty more generative AI can do for software professionals and fintech workers. AI-powered integrated development environments (IDEs) like GitHub Copilot or IntelliCode help developers by auto-completing code lines or suggesting relevant code based on context, for example.
AI can generate project skeletons or boilerplate code based on specifications, as well as generate specific snippets or algorithms like sorting, search, and CRUD operations based on the functionality you want.
It can also be used to generate technical documentation, comments, and API documentation from code, as well as scan for bugs and suggest fixes.
AI for your job hunt
If you are looking for a new job, there is plenty of scope for AI here too. One Reddit user, for example, recently created an AI bot which they used to automatically apply to a thousand jobs. Those applications resulted in 50 interviews in one month, a result that is far more than what many job hunters can expect using traditional job search methods.
Agentic AI has also entered the job search chat. Robin is an AI-powered job search agent which can instantly match your CV to the most suitable positions, eliminating hours of manual searching.
You can find Robin on the Fintech Futures Job Board, where it will pop up from the bottom right-hand side of the screen.
Use it to naturally communicate your skills, career goals, and workplace preferences in a conversational way. It acts as though you are speaking to a recruiter, and selects the most suitable roles based on your skills, preferences or location.
Robin can also provide valuable insights about company benefits, compensation packages, and workplace culture to inform your decision-making process.
But that is just one way you can use AI to streamline your job search. Once you have found the right roles to apply for, you can use generative AI to optimise your chances of getting an interview.
AI tools can help with grammar, spelling and sentence construction, help to align your experience effectively against a job description, and essentially speed up the whole process.
Try Perplexity or ChatGPT to quickly compare your CV against a job ad, asking it to highlight areas you need to finesse or skills you should highlight. You can then add these manually, or get the chatbot to do it for you.
If you are stuck on composing professional-sounding messaging that succinctly communicates your experience and suitability for a job, then this is another area in which generative AI can help. Claude, for example, can help you compose effective messages or emails you can then edit to make sure they are completely on point.
Cover letters are another time-consuming and often frustrating element of job hunting that many find daunting. As a result, lots of applicants don’t bother unless it’s a specific requirement, but this is a mistake.
Hiring managers like cover letters because they add additional context to who you are as a professional person. You can showcase your desire for the role, along with links to a portfolio of work, as well as more intangible talents such as your soft skills.
Once again, generative AI can be used to create a cover letter based on your CV along with any other information you prompt it with.
When you have secured that all-important interview, you can use AI to improve your preparation by researching companies, job roles, and industry terminology.
Lastly, you can also use an AI tool as a sounding board for interview readiness, by asking it to generate sample questions for a data science or software engineering role, for example.
Ready to use AI to find your next role? Visit the Fintech Futures Job Board