At a Glance
- Tasks: Lead the design and development of AI-powered products in a dynamic, data-rich environment.
- Company: Join a forward-thinking tech company focused on innovation and AI solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team culture with a focus on mentorship and career advancement.
- Why this job: Shape the future of AI technology and make a real impact on business processes.
- Qualifications: Strong Python skills and experience with cloud-native applications and AI products.
The predicted salary is between 80000 - 100000 £ per year.
We are seeking an experienced Engineering Lead to shape and deliver the next generation of AI-enabled products and platforms within a highly complex, data-rich environment. This role sits within a growing innovation-focused engineering team responsible for building intelligent systems that improve business processes, automate knowledge work, and unlock new opportunities through applied AI. You will play a key role in defining technical direction, establishing engineering best practices, and leading the design and delivery of production-grade AI solutions.
What You'll Be Doing
- Lead the design and development of AI-powered products and internal platforms.
- Translate business challenges into scalable technical solutions.
- Design and implement production-ready AI applications and intelligent workflows.
- Drive architecture decisions across cloud-native platforms and services.
- Establish engineering standards, governance, and best practices.
- Partner with stakeholders across multiple business functions to identify opportunities for automation and innovation.
- Guide and mentor engineers, consultants, and technical contributors.
- Support the responsible adoption of AI technologies within a regulated environment.
- Evaluate emerging technologies and identify opportunities to improve delivery velocity and product capability.
Technology Environment
The team works with a modern engineering and AI stack including: Python, OpenAI and LLM technologies, Cloud-native platforms, Serverless architectures, Vector databases, Knowledge repositories, Modern data engineering tooling, AI-enabled development tools and workflows.
What We're Looking For
Essential Experience
- Strong software engineering background with advanced Python development skills.
- Experience designing and delivering cloud-native applications.
- Experience building and deploying AI-enabled products into production environments.
- Strong understanding of software architecture and distributed systems.
- Experience working with APIs, data pipelines, and modern engineering practices.
- Ability to communicate effectively with both technical and non-technical stakeholders.
- Strong problem-solving and systems-thinking capabilities.
Highly Desirable Experience
- Experience working with OpenAI APIs and LLM-based applications.
- Experience with Retrieval-Augmented Generation (RAG) architectures.
- Understanding of AI agents and agentic workflows.
- Experience building knowledge management or search platforms.
- Experience with vector databases and semantic search technologies.
- Exposure to data engineering and machine learning workflows.
- Experience taking AI solutions from proof-of-concept through to production adoption.
We believe in equal opportunity for all and actively encourage applications from diverse backgrounds, experiences, and perspectives.
Engineering Lead - Python & AI in London employer: Source Technology Limited
At Source Group International, we pride ourselves on being an exceptional employer, offering a dynamic and innovative work environment in the heart of London. Our hybrid work model promotes flexibility while fostering collaboration within a diverse team dedicated to pushing the boundaries of AI technology. We are committed to employee growth, providing ample opportunities for professional development and mentorship, ensuring that our engineers not only contribute to cutting-edge projects but also thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Lead - Python & AI in London
✨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 Source 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 Source 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 Source 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 Source 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 Engineering Lead - Python & AI in London
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 Source 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 Source 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 Source 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 Source 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.
