At a Glance
- Tasks: Design and build real-world AI systems using cutting-edge technologies.
- Company: Conquer AI, a leader in bespoke agentic AI solutions for enterprises.
- Benefits: Flexible hybrid/remote work, competitive contract rates, and engaging projects.
- Other info: Join a dynamic team with opportunities for growth and collaboration.
- Why this job: Make a real impact by creating innovative AI solutions for enterprise clients.
- Qualifications: Strong software engineering and applied AI experience required.
The predicted salary is between 60000 - 80000 € per year.
Conquer AI is hiring a Contract AI Engineer. We're looking for a highly capable, hands-on AI Engineer with a strong traditional software engineering background and deep applied AI experience. This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. You'll be helping design and build real-world systems using LLMs, RAG, vector databases, agentic AI, and workflow automation.
This is not a research-only role. We need someone who can build production-grade systems, integrate with existing platforms, and move quickly from problem definition to working software.
What you'll be working on:
- Agentic AI workflow automation
- LLM-powered applications
- RAG and knowledge systems
- Vector database architecture and retrieval pipelines
- Document intelligence and information extraction
- AI systems that connect into business workflows
- API integrations and backend services
- Greenfield client projects and internal Conquer AI product work
Core skills we're looking for:
- Strong machine learning experience
- Strong traditional software engineering background
- Python
- Node.js
- TypeScript
- LLMs
- RAG
- Vector databases
- Agentic AI systems
- Workflow automation
- API integrations
- Backend engineering
You'll be a strong fit if you:
- Have built real AI systems beyond prototypes
- Can design and ship reliable backend services
- Understand retrieval, ranking, chunking, embeddings, and evaluation
- Have experience integrating LLMs into business workflows
- Can work with ambiguity and move quickly
- Are comfortable working with client-facing teams
- Can turn vague business problems into working technical solutions
- Care about practical delivery, not just experimentation
Nice to have:
- Experience with AWS, Azure, or GCP
- Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar
- Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar
- Experience with document processing, OCR, structured extraction, or enterprise search
- Experience in consulting, enterprise delivery, SaaS, or startup environments
About Conquer AI:
Conquer AI builds bespoke agentic AI systems for enterprise clients. We work with clients to understand their workflows, identify where AI can automate or augment work, and build practical systems that operate inside their existing environment. Our work spans document intelligence, workflow automation, knowledge retrieval, operational copilots, AI agents, data extraction, and enterprise integrations.
Contract: Outside IR35
Location: UK-based preferred
Working style: Hybrid / remote, with occasional client or team sessions
Start: ASAP
Engagement: Contract
If you're a strong software engineer with serious applied AI experience and you want to work on meaningful agentic AI systems, we'd like to speak with you.
Artificial Intelligence Engineer in Glasgow employer: LinkedIn
Conquer AI is an exceptional employer for those looking to make a tangible impact in the field of artificial intelligence. With a focus on building bespoke agentic AI systems, employees enjoy a collaborative work culture that fosters innovation and practical delivery. The hybrid working model allows for flexibility while providing opportunities for professional growth through engaging with enterprise clients and tackling greenfield projects.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Engineer in Glasgow
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. Attend meetups or webinars related to AI and software engineering to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving LLMs, RAG, or agentic AI systems. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on common AI engineering questions and practical scenarios. Be ready to discuss how you've tackled real-world problems and integrated AI into business workflows. We want to see your hands-on experience!
✨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 hearing from passionate candidates who are eager to work on exciting AI projects with us.
We think you need these skills to ace Artificial Intelligence Engineer in Glasgow
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI systems and software engineering. We want to see how your skills align with the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI and how your background makes you a perfect fit for our team. Keep it concise but impactful!
Showcase Your Projects:If you've built any real-world AI systems or applications, make sure to mention them in your application. We love seeing practical examples of your work, especially those that demonstrate your ability to integrate AI into business workflows.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you’re well-versed in the core skills listed in the job description, like Python, Node.js, and LLMs. Brush up on your knowledge of vector databases and agentic AI systems, as these will likely come up during technical discussions.
✨Showcase Real-World Experience
Prepare to discuss specific projects where you've built production-grade AI systems. Highlight how you’ve integrated these systems into existing platforms and solved real business problems, as this is what the company is looking for.
✨Be Ready for Problem-Solving Scenarios
Expect to tackle some practical scenarios during the interview. Practice explaining how you would approach vague business problems and turn them into working technical solutions, showcasing your ability to work with ambiguity.
✨Engage with Client-Facing Scenarios
Since the role involves working with client-facing teams, be prepared to discuss how you’ve communicated technical concepts to non-technical stakeholders. Share examples of how you’ve collaborated effectively in a team setting to deliver successful outcomes.
