At a Glance
- Tasks: Build intelligent, data-driven applications using Python and Generative AI.
- Company: Join a forward-thinking tech team in London with a hybrid work model.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with potential for career advancement and hands-on engineering challenges.
- Why this job: Make a real impact by developing cutting-edge AI solutions in a collaborative environment.
- Qualifications: Strong Python skills and experience with AI technologies required.
The predicted salary is between 67500 - 82500 £ per year.
Duration - 6 months with very likely extension
Location - Hybrid, 2 days a week onsite in London
Brief - Senior AI / Python Engineer to join a technology team building a new generation of intelligent, data-driven applications. This is a hands-on engineering position combining Generative AI development with strong Python software engineering. You will take AI capabilities beyond prototype stage, developing reliable applications and services that can operate at scale within a production environment.
The Role
You will work across the full engineering lifecycle, helping to design, develop and support AI-enabled products and backend services. Key responsibilities will include:
- Building production applications and services using Python
- Developing solutions using LLMs and Generative AI
- Creating RAG and semantic retrieval solutions over structured and unstructured information
- Developing intelligent workflows using AI agents and orchestration frameworks
- Building scalable backend APIs using FastAPI
- Implementing document processing, embedding and vector-search capabilities
- Connecting AI services with existing applications, databases and data sources
- Creating methods for testing and measuring the quality of AI-generated outputs
- Containerising and deploying applications into modern cloud environments
- Writing clean, maintainable and well-tested software
- Working closely with product, engineering and business stakeholders to deliver solutions into production
Technical Experience
We are particularly interested in engineers with strong experience across:
- Python, ideally within large-scale production environments
- FastAPI, Pydantic and asynchronous Python
- LLMs / Generative AI
- RAG
- AI agents / agentic systems
- Embeddings and semantic search
- Vector databases
- PostgreSQL
- Docker and Kubernetes
- Modern CI/CD practices
- API and microservice development
- Automated testing and software engineering best practices
The Ideal Candidate
This would suit somebody who sits between a traditional Senior Python Backend Engineer and AI Engineer. You should be comfortable building the underlying software around AI models rather than focusing purely on experimentation or data science. We are particularly interested in people who have taken LLM-based applications from concept through to a live production environment. This is a senior hands-on role, so you should be comfortable making technical decisions, solving complex engineering problems and working independently while collaborating closely with the wider technology team.
Why this role?
This is an opportunity to work on AI products where Python engineering, GenAI and production delivery are equally important. You will have significant involvement in how the solutions are designed and built, rather than simply integrating pre-built AI tools.
Senior AI / Python Engineer employer: GCS Recruitment
Join a forward-thinking organisation that values innovation and collaboration, where as a Senior Site Reliability Engineer, you will play a pivotal role in enhancing the reliability and performance of critical banking systems. With a hybrid working model based in Knutsford or Glasgow, you will benefit from a supportive work culture that prioritises continuous improvement and employee growth, alongside opportunities for technical leadership and mentorship. Enjoy a competitive benefits package and the chance to work with cutting-edge technologies in a dynamic environment that fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI / Python 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 GCS Recruitment 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 GCS Recruitment!
✨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 GCS Recruitment 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 Senior AI / Python 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 GCS Recruitment!
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 Senior AI / Python Engineer at GCS Recruitment! 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 GCS Recruitment
✨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 GCS Recruitment 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 GCS Recruitment 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 GCS Recruitment, so it's relevant and sparks conversation during your interview.
