At a Glance
- Tasks: Design and develop AI solutions using Python for a leading Financial Services client.
- Company: Join a dynamic team at a forward-thinking financial tech company.
- Benefits: Competitive pay, flexible hybrid work, and opportunities for skill development.
- Other info: Diverse and inclusive workplace with great career advancement potential.
- Why this job: Make an impact in the AI space while working on innovative projects.
- Qualifications: Strong Python skills and experience with AI applications are essential.
The predicted salary is between 63000 - 77000 £ per year.
Software AI Engineer
Hybrid - Regional Offices
Inside IR35
November start
Contract - 2 Months
We are looking for an experienced Software AI Engineer to design, develop and support production-grade AI solutions for a Financial Services client.
The role will focus on building Python applications, AI agents, LLM integrations and automated workflows across enterprise systems.
You will contribute throughout the development lifecycle, from solution design through to deployment and production support.
Financial Services experience is preferred.
Key Responsibilities
- Develop and maintain AI agents, orchestration frameworks and automated workflows.
- Build MCP servers to enable secure integration with enterprise systems and data sources.
- Develop and maintain production-quality Python applications, APIs and backend services.
- Build RAG pipelines and enterprise search capabilities with accurate source attribution.
- Develop data pipelines and AI workflows using Databricks and Apache Spark.
- Support model development, testing, deployment and MLOps processes.
- Create Copilot experiences with human-in-the-loop review capabilities.
- Implement testing, monitoring and observability to ensure reliable production performance.
- Improve development efficiency through AI-assisted engineering tools and process automation.
Essential Skills and Experience
- Software engineering experience, including development, testing and production support.
- Strong Python skills, with experience in Java, Type Script or SQL.
- Hands-on experience building LLM applications, including RAG, prompt engineering, tool calling and AI agents.
- Experience with APIs, event-driven architecture and enterprise integrations.
- Knowledge of Kubernetes, containers, CI/CD, security and application resilience.
- Experience with Apache Spark or similar data-processing technologies.
- Understanding of AI testing, evaluation, monitoring and deployment.
- Financial Services experience, ideally within a regulated enterprise environment.
- Disclaimer
Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies.
Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
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Software AI Engineer employer: Squareone
At Square One, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our London-based team enjoys flexible hybrid working arrangements, competitive compensation, and ample opportunities for professional growth in the rapidly evolving field of finance transformation. Join us to make a meaningful impact while advancing your career in a supportive and diverse environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software AI Engineer
✨Get Involved in Open-Source Projects
Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at Squareone who values hands-on experience over just theory.
✨Attend Local Tech Meetups
Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at Squareone!
✨Showcase Your Work Online
With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at Squareone to see what you bring to the table.
✨Leverage Temporary Job Boards
Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!
We think you need these skills to ace Software AI Engineer
Some tips for your application 🫡
Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at Squareone!
Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!
Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!
Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Software AI Engineer at Squareone! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!
How to prepare for a job interview at Squareone
✨Nail the Technical Skills
For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that Squareone uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!
✨Prepare for System Design Questions
Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.
✨Demonstrate Your Adaptability
Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at Squareone that you can learn on the job and deliver results in a short timeframe!
✨Show Off Your Portfolio
Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest Squareone, so it's relevant and sparks conversation during your interview.
