At a Glance
- Tasks: Design and develop cutting-edge AI solutions for healthcare, automating workflows and enhancing user experiences.
- Company: Innovative UK tech company focused on AI advancements in the healthcare sector.
- Benefits: Competitive salary, bonuses, private healthcare, hybrid working, and a learning budget.
- Other info: Collaborative environment with opportunities for professional growth and learning emerging technologies.
- Why this job: Join a dynamic team to shape the future of AI in healthcare and make a real impact.
- Qualifications: 5+ years in software development with strong skills in Python, Java, and JavaScript.
The predicted salary is between 70000 - 90000 £ per year.
We are an innovative UK technology company developing cutting-edge software solutions for the healthcare sector. As part of our continued investment in Artificial Intelligence, we are expanding our AI Engineering team to build intelligent solutions that improve user experiences, automate complex workflows, and solve real-world challenges.
We are looking to hire an experienced AI Engineer to design, build, and deploy advanced AI solutions across a modern software platform. You will work with Large Language Models (LLMs), Generative AI, Agentic AI, and real-time AI technologies, helping to deliver production-ready AI capabilities within a collaborative engineering environment.
The AI Engineer MUST have:
- 5+ years of commercial software development experience
- Strong programming expertise in Python, Java, and JavaScript
- Proven experience building and deploying production-grade LLM applications
- Commercial experience developing Generative AI and Agentic AI solutions
- Experience with Retrieval-Augmented Generation (RAG) architectures and vector databases
- Experience with AI orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or similar
- Experience designing, evaluating, and optimising prompts for Large Language Models
- Experience deploying AI solutions into cloud environments, ideally Azure
- Strong understanding of software engineering best practices and scalable system design
The AI Engineer will ideally have the following attributes:
- Experience building multi-agent workflows and autonomous AI systems
- Knowledge of the Model Context Protocol (MCP) and AI integration patterns
- Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search
- Experience working with OpenAI and other leading foundation models
- Knowledge of real-time AI pipelines, including speech-to-text and streaming AI applications
- Experience with technologies such as Pipecat, Daily, Deepgram, or similar real-time AI frameworks would be advantageous
- Experience integrating AI capabilities into enterprise backend and frontend applications
- Strong problem-solving skills with the ability to deliver practical, production-ready AI solutions
- A passion for learning emerging AI technologies and rapidly adopting new frameworks and tools
- Excellent communication skills and the ability to collaborate with cross-functional teams
The AI Engineer role will involve:
- Designing and developing AI-powered features for a large-scale enterprise software platform
- Building and deploying LLM, Generative AI, and Agentic AI solutions into production environments
- Developing multi-agent workflows to automate complex business processes
- Implementing AI orchestration using modern frameworks and the Model Context Protocol (MCP)
- Designing and implementing Retrieval-Augmented Generation (RAG) solutions using vector databases
- Building scalable AI services and data processing pipelines using Python
- Developing real-time AI applications, including streaming and speech-enabled solutions
- Integrating AI capabilities into existing backend and frontend systems
- Optimising prompts and AI workflows to improve accuracy, reliability, and performance
- Collaborating with engineering, product, and domain experts to deliver impactful AI solutions
- Researching, evaluating, and implementing emerging AI technologies and best practices
If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.
AI Engineer employer: Halian Technology Limited
As a leading global FinTech company, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to work with cutting-edge technology in a vibrant location that promotes both professional and personal development.
StudySmarter Expert Advice🤫
We think this is how you could land AI 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 Halian Technology Limited 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 Halian Technology Limited.
✨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 Halian Technology Limited.
✨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 Halian Technology Limited 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 AI Engineer
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 Halian Technology Limited.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Halian Technology Limited 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 Halian Technology Limited
✨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 Halian Technology Limited 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.
