Founding Software Engineer

LMA Recruitment
London, United Kingdom
Today
£100,000 – £120,000 pa

Salary

£100,000 – £120,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Visa Sponsorship
Available
Posted
14 Jul 2026 (Today)

Benefits

Equity Significant ownership and autonomy Direct influence over product direction and technical architecture
Full Stack Engineer - AI Systems

Location: UK Remote / Hybrid
Job Type: Permanent, Full-Time
Salary: £120,000 + Equity

About the Opportunity

A high-growth AI startup is seeking aFull Stack Engineer - AI Systems to help build the next generation of AI-native productivity products.

This is an opportunity to join a small, highly talented engineering team building intelligent systems that go far beyond traditional chat applications. The company is developing a proactive AI assistant capable of managing workflows, maintaining context, interacting with tools, and completing real-world tasks with minimal user input.

You'll work at the intersection of product engineering, AI systems, and user experience, helping to transform advanced AI capabilities into reliable, production-grade solutions used by people every day.

The Role

As a Full Stack Engineer - AI Systems, you will play a key role in designing, building, and scaling AI-native workflows across frontend, backend, and AI infrastructure.

You will be responsible for creating systems that can reason, plan, execute tasks, recover from failures, and provide a seamless user experience.

This role is ideal for engineers who enjoy solving complex technical challenges and want to work on cutting-edge AI products.

Key ResponsibilitiesProduct Development
  • Build end-to-end features across frontend, backend, and AI systems.
  • Develop scalable applications that support intelligent workflows.
  • Deliver production-ready solutions focused on user impact.
AI & Agent Systems
  • Design and implement agent workflows capable of multi-step reasoning and task execution.
  • Build systems that coordinate planning, tool usage, recovery, and completion across complex workflows.
  • Integrate LLMs, retrieval systems, memory layers, and external services into user-facing products.
Reliability & Performance
  • Design low-latency, real-time AI experiences.
  • Implement monitoring, observability, and evaluation frameworks.
  • Improve workflow reliability and build robust fallback mechanisms.
  • Optimise performance across AI-powered applications.
Collaboration
  • Work closely with Product, Engineering, and Machine Learning teams.
  • Contribute to architectural decisions and product strategy.
  • Continuously improve features based on user feedback and production insights.
Required Skills & Experience
  • Strong commercial experience as a Full Stack Engineer.
  • Experience developing both frontend and backend applications.
  • Solid understanding of system design and API architecture.
  • Experience building AI-powered products using:
    • Large Language Models (LLMs)
    • Retrieval-Augmented Generation (RAG)
    • Agentic systems
    • AI workflows
  • Proven track record of delivering features from concept through to production.
  • Strong problem-solving and decision-making skills.
  • Comfortable working in a fast-paced startup environment.
Desirable Experience
  • Building autonomous or agent-based systems.
  • Working with model evaluation and testing frameworks.
  • Experience with vector databases and retrieval technologies.
  • Kubernetes and cloud-native infrastructure.
  • Real-time application optimisation and observability tooling.
Technology Stack
  • Next.js
  • Python
  • Node.js
  • PyTorch
  • OpenAI & Anthropic APIs
  • Open-source LLMs
  • SQL & NoSQL Databases
  • Docker
  • Kubernetes
What's on Offer?
  • Competitive salary and equity package.
  • Opportunity to work on cutting-edge AI technology.
  • Significant ownership and autonomy.
  • Direct influence over product direction and technical architecture.
  • Fast-moving, highly collaborative environment.
  • Exposure to some of the most challenging problems in AI, including:
    • Agent orchestration
    • Workflow automation
    • Persistent memory
    • Reasoning systems
    • Reliability engineering
About You

You thrive in environments where ambiguity is common, ownership is expected, and innovation happens quickly.

You're excited by the idea of building products that could fundamentally change how people interact with software and leverage AI in their daily lives.

If you're passionate about AI, product development, and building intelligent systems at scale, we'd love to hear from you.

Apply now for a confidential discussion.

Related Jobs

View all jobs
Spotlight

Business Development Manager – New Business Sales

SenseAI Liverpool, Merseyside, United Kingdom
Hybrid
Spotlight

Director of Technology - AI

Digital Catapult Bristol, County Of Bristol, United Kingdom
£110,000 – £130,000 pa Hybrid
Spotlight

Senior Machine Learning Scientist

Chattermill London, United Kingdom
Remote

Founding Engineering - Top London Software House

IT Graduate Recruitment London, United Kingdom
£60,000 pa On-site

Staff Software Engineer - Backend

Databricks London, United Kingdom
On-site

Software Engineer

hackajob London, United Kingdom
£130,000 – £270,000 pa Hybrid

Senior Full-Stack Software Engineer, (Forward Deployed), GPS

Scale AI London, United Kingdom
Hybrid Clearance Required

Staff Full-Stack Software Engineer, (Forward Deployed), GPS

Scale AI London, United Kingdom
On-site Clearance Required

Applied AI Engineer

Harnham - Data and Analytics Recruitment Usa, SL4 4BQ, United Kingdom
US$250,000 – US$300,000 pa On-site

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Is an AI Forward Deployed Engineer? The Fastest-Growing Job in AI for 2026

If you have been watching AI job boards over the past year, one title keeps surfacing again and again: the forward deployed engineer, or FDE. It has gone from a niche term known mainly to Palantir alumni to arguably the hottest role in the entire AI hiring market. Job postings for forward deployed engineers have exploded, salaries have climbed past levels most software engineers will ever see, and the biggest names in AI — OpenAI, Anthropic, Google, Salesforce, Databricks and Palantir — are all competing for the same small pool of talent. So what exactly is an AI forward deployed engineer, why has demand surged so dramatically, and how do you position yourself to land one of these roles? This guide breaks it all down for AI engineers, software engineers and data scientists looking at their next move.