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For Companies At a Glance
- Tasks: Build innovative AI applications and work with cutting-edge technologies.
- Company: Dynamic scale-up focused on AI solutions, offering a fully remote work environment.
- Benefits: Competitive daily rate, flexible remote work, and the chance to shape AI products.
- Why this job: Join a passionate team and make a real impact in the AI space.
- Qualifications: Strong experience in LLM applications and a product-focused mindset.
- Other info: 12-month contract with excellent growth opportunities in a fast-paced environment.
The predicted salary is between 50000 - 72000 £ per year.
If you think you are the right match for the following opportunity, apply after reading the complete description.
Skills
- Python, TypeScript
- LLM frameworks (LangChain, LlamaIndex, OpenAI tools, Semantic Kernel)
- Vector databases (Pinecone, Weaviate, Chroma)
- Cloud (AWS / Azure / GCP)
- Docker, Kubernetes
- CI/CD, observability, testing for AI systems
Experience
- Strong experience building LLM applications, RAG systems, or AI agents
- Understanding of prompt engineering, tool-calling, and orchestration frameworks
- Ability to work autonomously in a scale-up environment
- A product-focused mindset — you enjoy owning features end-to-end
- Curiosity, creativity, and a genuine passion for AI
- Understanding of start/scale up environments
Details
- 12 month contract
- Fully remote (London office optional)
- £500-600p/d (outside IR35)
AI Enigneer- 12 month contract employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Enigneer- 12 month contract
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space on LinkedIn or at meetups. We can’t stress enough how personal connections can lead to job opportunities, so don’t be shy!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Python, TypeScript, and LLM frameworks. We love seeing what you can do, and it gives you a leg up when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of vector databases and cloud services. We recommend practising common interview questions related to AI systems and being ready to discuss your past experiences.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate individuals who are eager to dive into the world of AI.
We think you need these skills to ace AI Enigneer- 12 month contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, TypeScript, and LLM frameworks. We want to see how your skills match 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! Tell us why you’re passionate about AI and how your background makes you a great fit for this role. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Projects: If you've worked on any LLM applications or AI systems, make sure to mention them! We’re interested in your hands-on experience, so include links or descriptions of your projects that demonstrate your skills.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python, TypeScript, and the LLM frameworks mentioned in the job description. Brush up on your knowledge of vector databases like Pinecone and Weaviate, as well as cloud services such as AWS or Azure. Being able to discuss these technologies confidently will show that you’re ready to hit the ground running.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built LLM applications or RAG systems. Highlight your experience with prompt engineering and orchestration frameworks. Sharing concrete examples will demonstrate your hands-on experience and product-focused mindset, which is crucial for this role.
✨Emphasise Autonomy and Creativity
Since the role requires working autonomously in a scale-up environment, be ready to discuss how you’ve successfully managed projects independently. Share instances where your curiosity and creativity led to innovative solutions in AI. This will help convey that you can thrive in a dynamic setting.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI and their future projects. This not only shows your genuine passion for AI but also your interest in how you can contribute to their goals. Engaging in a two-way conversation can leave a lasting impression on the interviewers.