Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and develop cutting-edge AI capabilities and integrate with enterprise data sources.
- Company: Join BAE Systems, a leader in innovative technology and inclusive culture.
- Benefits: Competitive salary, flexible working, health benefits, and employee share plans.
- Other info: Dynamic environment with opportunities for personal and professional growth.
- Why this job: Make a real impact in a new team and grow your career in AI.
- Qualifications: Proficient in Python and experienced in LLM orchestration and RAG implementation.
The predicted salary is between 52500 - 57500 £ per year.
Location: Preston. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role.
Salary: Circa £55k depending on skills and experience.
What you’ll be doing:
- Build LLM capabilities services such as RAG Q A, summarisation, document integration and tool integration.
- Develop LLM-backed APIs (FastAPI) for LLM chatbot capabilities.
- Implement retrieval workflows (chunking, embeddings, grounded answering).
- Integrate with enterprise data sources, MinIO, Databricks, Postgres/PGVector, Azure AI Search etc.
- Improve response quality through evaluation and testing.
- Deploy services in OpenShift and Azure via GitLab CI/CD.
Your skills and experiences
Essential:
- Python backend engineering skill.
- Experience of RAG implementation and LLM orchestration.
- Knowledge of key tools such as FastAPI, Langchain/LangGraph, vLLM, AI Search, Hugging Face, Docling, PGVector and AI Foundry.
Benefits:
As well as a competitive pension scheme, BAE Systems also offers employee share plans, an extensive range of flexible discounted health, wellbeing and lifestyle benefits, including a green car scheme, private health plans and shopping discounts – you may also be eligible for an annual incentive.
The Data team:
This is an opportunity to join a new part of the business, undertaking a new piece of work, introducing new technology into the wider BAE Business. Joining from the ground up, this is a chance to make your mark and the role your own. This role will provide the opportunity to grow the role your responsibility into a wider scope or even specialise within a specific area.
Why BAE Systems?
This is a place where you’ll be able to make a real difference. You’ll be part of an inclusive culture that values diversity of thought, rewards integrity, and merit, and where you’ll be empowered to fulfil your potential. We welcome people from all backgrounds and want to make sure that our recruitment processes are as inclusive as possible. If you have a disability or health condition (for example dyslexia, autism, an anxiety disorder etc.) that may affect your performance in certain assessment types, please speak to your recruiter about potential reasonable adjustments.
Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks.
AI Engineer employer: BAE Critical Skills
Contact Detail:
BAE Critical Skills Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLM capabilities and Python backend engineering. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical tests. Practice coding challenges related to FastAPI and RAG implementation to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace AI Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the AI Engineer role. Highlight your Python backend skills and experience with LLM orchestration, as these are key to what we’re looking for.
Showcase Relevant Experience: When detailing your past work, focus on projects that involved RAG implementation or developing APIs. We want to see how your experience aligns with the responsibilities listed in the job description.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications and achievements at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role.
How to prepare for a job interview at BAE Critical Skills
✨Know Your Tech
Make sure you brush up on your Python backend engineering skills and get familiar with the tools mentioned in the job description, like FastAPI and Langchain. Being able to discuss your experience with RAG implementation and LLM orchestration will show that you're not just a fit for the role, but that you're genuinely interested in the technology.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built LLM capabilities or developed APIs. Highlight any challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and give the interviewer insight into your hands-on experience.
✨Ask Smart Questions
Come prepared with questions that show your interest in the role and the company. Ask about the team dynamics, the technologies they are currently using, or how they measure success in this position. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
✨Be Yourself
BAE Systems values diversity and inclusion, so don’t be afraid to let your personality shine through. Share your unique perspective and experiences, and don’t hesitate to discuss any adjustments you might need during the interview process. Authenticity can set you apart from other candidates.