At a Glance
- Tasks: Build AI systems that deliver real-world workflows and tackle challenges head-on.
- Company: High-growth AI company transforming how AI works in production.
- Benefits: Competitive salary, flexible work options, and a supportive team environment.
- Other info: Fast-paced environment with opportunities for growth and innovation.
- Why this job: Join a dynamic team and make a tangible impact with cutting-edge AI technology.
- Qualifications: Strong full stack engineering skills and experience with AI products.
The predicted salary is between 70000 - 90000 £ per year.
Our Client is Looking for a Full Stack Engineer (AI Systems).
Our client is a high‑growth AI company building the infrastructure that makes AI actually work in production, not just in demos.
They’re looking for a
Full Stack Engineer who can own the product layer that turns AI capabilities into reliable, real‑world workflows.
The Role: This isn't a prompt‑engineering job. You'll be building systems that plan, fail gracefully, recover, and deliver consistent value to users at scale.
Responsibilities
- Ship end-to-end AI‑native features across frontend, backend, and AI integrations
- Design agent workflows that handle multi‑step tasks, tool use, and failure recovery
- Integrate LLMs, memory, and external tools into production‑grade systems
- Tackle streaming, latency, and partial results without sacrificing output quality
- Build robust fallback and recovery mechanisms for when things go wrong
- Iterate based on real usage and real failure modes
Qualifications
- Strong full stack engineering across frontend and backend
- Hands‑on experience with LLMs, RAG systems, or AI‑powered products
- Sharp system design instincts and solid API architecture skills High ownership, someone who takes features from idea to production
- Comfortable with ambiguity and fast‑moving environments
- Technical Stack
- Next. js
- Python
- Node. js
- Py Torch
- Open AI / Anthropic / OSS LLMs
- SQL & No SQL
- Kubernetes
- Docker
- Environment
Small team.
World‑class talent density.
They move fast, ship quality work, and make decisions collectively.
You'll need to bring structure, exercise judgment, and execute independently.
Interview Process
3–4 interviews. Virtual and/or onsite. Fast, transparent decisions.
We encourage applicants from all backgrounds, so if there is anything we can do to make our recruitment processes better for you and to allow you to show your best self, let us know.
We also understand that some people require extra time to complete assessments, require alternative application methods and can also benefit from having interview questions or a guide to the type of questions pre‑interview.
We are open to any suggestions or requests that you may have and are always looking for creative ways to assess talent.
Our commitment to you is that you should always feel safe and secure when you’re working with us.
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Full Stack Engineer (Ai Systems) employer: Futureheads
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