Applied AI Engineer
McGregor Boyall · London
Job description
About the role
We are partnering with a well‑funded, stealth AI startup that is building a next‑generation AI assistant to help users manage everyday tasks, conversations and workflows. The product is pre‑launch, offering a genuine 0‑to‑1 opportunity to join a small, high‑calibre engineering team and influence both product and technical direction from the outset.
Key responsibilities
- Design, develop and ship AI features from concept through production.
- Create and refine agent workflows, prompts, memory handling and tool integration.
- Build reliable, low‑latency AI systems that solve real user problems.
- Improve production performance, reliability and latency of AI services.
- Develop evaluation frameworks to measure real‑world model quality.
- Collaborate closely with product and engineering teams to turn ambiguous problems into working software.
- Contribute to shaping technical direction as the product evolves.
Required profile
- Commercial experience building production AI/ML applications.
- Strong Python engineering skills.
- Hands‑on experience with modern large language models (LLMs) and agentic AI systems.
- Experience with retrieval‑augmented generation (RAG), vector databases and LLM orchestration.
- Proven ability to deploy and operate production ML systems.
- Comfortable working across models, infrastructure and product in fast‑moving, early‑stage environments.
Required skills
- Python
- PyTorch
- JAX
- vLLM
- Vector Databases
- Modern Agent Frameworks
- Retrieval‑Augmented Generation (RAG)
- LLM orchestration
- Production ML deployment
What we offer
- Competitive salary ranging from £80,000 to £180,000 per year plus equity.
- Fully remote work across Europe.
- Opportunity to shape a cutting‑edge AI assistant from the ground up.
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Published 1 month ago
Expires 3 days from now
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McGregor Boyall
London