At a Glance
- Tasks: Build and deliver AI-powered product features using cutting-edge technology.
- Company: Join a product-led business revolutionising AI platforms and workflows.
- Benefits: Competitive daily rate, remote work, and the chance to work on innovative projects.
- Other info: Exciting opportunity for growth in a fast-paced tech landscape.
- Why this job: Make an impact in the AI space while developing your skills in a dynamic environment.
- Qualifications: Strong TypeScript and backend engineering experience, especially with AI integrations.
The predicted salary is between 78000 - 78000 £ per year.
Contract: 3–6 Months
Location: Remote (EU)
Rate: £300 per day
We’re partnering with a product-led business building AI-powered platforms and intelligent workflow systems used at scale. They’re looking for a backend-leaning AI Engineer with strong TypeScript experience and proven experience delivering AI-powered products in production environments. This role is heavily focused on backend systems, AI integrations, orchestration workflows, and scalable product engineering.
The Role
You’ll work across backend services, APIs, AI infrastructure, and automation pipelines, helping build and deliver AI-powered product features end-to-end. A key part of the role involves integrating LLM functionality into production systems, including RAG pipelines, retrieval systems, agent workflows, and AI-assisted automation.
Required Experience
- Strong commercial experience with TypeScript
- Strong backend engineering experience with Node.js
- Experience building scalable APIs and backend services
- Commercial experience working with LLMs in production
- Hands-on experience with RAG pipelines and retrieval systems
- Experience with vector databases, embeddings, and AI orchestration tooling
- Experience integrating AI functionality into live products
- Cloud platform experience (GCP preferred)
- Product-focused mindset with experience owning features through delivery
Tech Environment
- TypeScript
- Node.js
- PostgreSQL
- REST APIs
- GCP
- LLM integrations
- RAG pipelines
- Vector databases
- AI orchestration frameworks
- React.js
Nice to Have
- Experience with LangChain, LangGraph, CrewAI or similar frameworks
- Exposure to agentic AI workflows or MCP
- Python experience for AI tooling or automation
- Experience working on AI-first products
Applicants must be based in the EU for this role.
AI Product Engineer employer: Gravitas Recruitment Group (Global) Ltd
Join a forward-thinking product-led business that champions innovation and collaboration in the AI space. With a strong focus on employee growth, you will have the opportunity to work remotely within the EU, enjoying a flexible work culture that values your contributions and fosters professional development. This role not only offers competitive rates but also the chance to be at the forefront of AI technology, integrating cutting-edge solutions into scalable products.
Contact Details:
Gravitas Recruitment Group (Global) Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Product Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and tech community, especially those who work with TypeScript and backend systems. Join relevant online forums or LinkedIn groups to connect with potential employers and get insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI integrations and scalable APIs. This will give you an edge and demonstrate your hands-on experience with LLMs and RAG pipelines.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud platforms, particularly GCP. Be ready to discuss how you've integrated AI functionality into live products and share specific examples of your work with vector databases and orchestration tooling.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Product Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your TypeScript and backend engineering experience. We want to see how your skills align with the role, so don’t be shy about showcasing your work with AI integrations and scalable APIs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re passionate about AI and how your experience with LLMs and RAG pipelines makes you the perfect fit for this role. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any AI-powered products or relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve cloud platforms like GCP.
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 Gravitas Recruitment Group (Global) Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in TypeScript, Node.js, and the other technologies mentioned in the job description. Brush up on your experience with LLMs and RAG pipelines, as these will likely come up during the interview. Being able to discuss specific projects where you've used these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially those related to backend systems and AI integrations. Think of examples where you’ve built scalable APIs or automated workflows, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Product Mindset
Since this role is product-focused, demonstrate your understanding of how AI features enhance user experience. Be prepared to talk about how you’ve owned features from conception to delivery, and how you ensure they align with business goals. This will show that you’re not just a techie but also a strategic thinker.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about their current AI projects, the team dynamics, or how they measure success for the AI products. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
