Artificial Intelligence Engineer

MBN Solutions

San Francisco (CA)

Remote

GBP 225,000 - 275,000

Full time

14 days+

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Benefits offered by this job

Equity

Startup perks

Job summary

A technology startup is seeking a Lead AI Engineer to lead the development of privacy-first consumer AI products. The ideal candidate will have extensive experience in deploying AI in production environments, a strong understanding of LLM architectures, and expertise in the Apple ecosystem. This fully remote position offers a competitive salary of up to £250k, equity, and typical startup perks.

Qualifications

Extensive experience deploying AI in production consumer applications.
Strong understanding of LLM architectures and optimization for edge devices.
Deep expertise in the Apple ecosystem including iOS and macOS.

Responsibilities

Lead application development for flagship products across platforms.
Ensure user experience balances performance, usability, and trust.
Shape product direction with a focus on AI implementation.

Skills

Experience deploying AI in production consumer applications

Understanding of LLM architectures

Familiarity with the open-source AI ecosystem

Knowledge of privacy-preserving ML techniques

Expertise in the Apple ecosystem

Experience with cross-platform development

Background in system-level programming

Product mindset focused on user experience

Job description

Overview

Lead AI Engineer – AGI Startup - Privacy – Remote up to £250k

This role is fully remote, with the core team based in San Francisco. There’s a salary of up to £250k plus equity, along with typical startup perks. Please note: You must be eligible to work in the UK, US, or EU to be considered.

What you’ll do

We’re an under 2-year-old VC-backed startup with $30m funding, focused on building privacy-first consumer AI products. Our mission is to give users complete sovereignty over their data while providing world-class AI experiences. You’ll take the lead on application development for one of our flagship products, across macOS, iOS, and future platforms. This is a technical leadership role for someone who has been a CTO or tech lead of a consumer AI product and wants to build systems that balance performance, usability, and trust.

About you

You’re a product-minded engineer who combines technical depth with an obsession for user experience. You know how to take AI out of the lab and into polished consumer applications, where privacy, performance, and design are non-negotiable. You’re equally at home working on LLM optimisation for edge devices as you are shaping product direction.

What we are looking for is someone with:

Extensive experience deploying AI in production consumer applications (AI-powered assistants, productivity tools, recommendation systems, or creative apps)
Strong understanding of LLM architectures, quantisation, and optimisation for edge devices (Transformers, LoRA, GGUF, 4/8-bit quantisation, ONNX Runtime, TensorRT, Core ML optimisation)
Familiarity with the open-source AI ecosystem (Ollama, llama.cpp, Core ML, Hugging Face, LangChain, MLX)
Knowledge of privacy-preserving ML techniques (federated learning, differential privacy, secure enclaves, homomorphic encryption, MPC frameworks such as PySyft or OpenMined)
Deep expertise in the Apple ecosystem (iOS, macOS, Swift, SwiftUI, Combine, Xcode)
Experience with cross-platform development and state synchronisation (React Native, Flutter, Electron, Tauri, Redux, CRDTs)
Background in system-level programming and performance optimisation (C, C++, Rust, Metal, CUDA, SIMD/AVX, profiling tools such as Instruments or perf)
A product mindset with a relentless focus on user experience

Nice to have:

Personal open-source contributions (GitHub, Hugging Face, llama.cpp, Core ML projects) or AI research projects
Experience with secure enclaves, TEEs, or confidential computing (Intel SGX, Apple Secure Enclave, AMD SEV, AWS Nitro)
Deeper knowledge of LLM quantisation and optimisation techniques (GGUF, QLoRA, FlashAttention, DeepSpeed, 4/8-bit fine-tuning libraries)

There’s a salary of up to £250k plus equity, along with typical startup perks.

Please note: You must be eligible to work in the UK, US, or EU to be considered.

Location and eligibility

This role is fully remote, with the core team based in San Francisco.

How to apply

Interested? If this sounds like you, get in touch by clicking the ‘apply now’ button or reaching out directly: