At a Glance
- Tasks: Design and develop cutting-edge AI applications using the latest technologies.
- Company: Join a forward-thinking tech company focused on AI innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Be at the forefront of AI technology and solve real-world challenges.
- Qualifications: Degree in Computer Science or related field with strong Python skills.
The predicted salary is between 63000 - 77000 £ per year.
Job Summary: One of our clients is looking for an AI Engineer to design, build, deploy, and maintain production-grade AI and Generative AI applications. The ideal candidate combines strong software engineering fundamentals with hands-on experience building solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, machine learning, and cloud technologies. You will work closely with product, engineering, data, and business teams to translate real-world problems into scalable, reliable AI solutions.
Key Responsibilities:
- Design and develop AI/ML and Generative AI applications for business use cases.
- Build LLM-powered applications using APIs and/or open-source models.
- Develop RAG pipelines, embeddings, vector search, and knowledge-retrieval systems.
- Design and implement AI agents, tool calling, workflows, and orchestration.
- Develop prompts, structured outputs, guardrails, and fallback mechanisms.
- Build evaluation frameworks to measure accuracy, relevance, reliability, latency, and cost.
- Integrate AI capabilities into existing web applications, APIs, and enterprise systems.
- Develop and deploy scalable AI services using Python and modern backend frameworks.
- Fine-tune or adapt ML/LLM models when appropriate for the use case.
- Implement monitoring, logging, testing, and observability for AI applications.
- Optimize model performance, inference latency, token usage, and infrastructure costs.
- Work with cloud platforms such as AWS, Azure, or GCP.
- Collaborate with data scientists and software engineers on end-to-end AI solutions.
- Stay current with developments in LLMs, GenAI, ML frameworks, and AI engineering practices.
Required Qualifications:
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, Data Science, Engineering, or a related field.
- 5+ years of software/AI/ML engineering experience.
- Strong Python programming skills.
- Experience developing and deploying AI/ML applications.
- Hands-on experience with LLMs and Generative AI.
- Experience with RAG, embeddings, vector databases, or semantic search.
- Understanding of machine learning and deep learning fundamentals.
- Experience building REST APIs and integrating third-party services.
- Experience with Git, Docker, CI/CD, and software development best practices.
- Experience with at least one major cloud platform: AWS, Azure, or GCP.
- Strong problem-solving, communication, and collaboration skills.
Technical Skills:
- Languages: Python, SQL, JavaScript/TypeScript
- AI/ML: Machine Learning, Deep Learning, NLP, LLMs, Generative AI, RAG, Fine-tuning
- Frameworks: PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex
AI Engineer employer: Simpliigence
As a leading player in the financial services sector, our company offers an exceptional work environment that prioritises innovation and professional growth. With a predominantly remote setup, employees enjoy flexibility while collaborating on impactful projects like the Copilot Studio rollout. We foster a culture of continuous learning and provide ample opportunities for career advancement, making us an ideal employer for those seeking meaningful and rewarding roles in technology.
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 Simpliigence 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 Simpliigence.
✨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 Simpliigence.
✨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 Simpliigence 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 Simpliigence.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Simpliigence 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 Simpliigence
✨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 Simpliigence 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.
