Are you a Full Stack Engineer with experience building AI-powered products, agent workflows and scalable production systems?
Join an ambitious early-stage technology company building the next generation of AI-native productivity and workflow applications. This is an opportunity to work at the intersection of software engineering and artificial intelligence, creating products that help users manage conversations, tasks, workflows and everyday responsibilities through intelligent automation.
About the Role
We're looking for a Full Stack Engineer to build the product layer that transforms cutting-edge AI capabilities into dependable, real-world user experiences.
You'll work across frontend, backend and AI systems, designing workflows that can plan, reason, take action and recover from failure. This role goes beyond integrating AI APIs. You'll help build systems that enable intelligent, long-running workflows and deliver practical value to users in production environments.
Working closely with product, machine learning and engineering teams, you'll take ownership of features from concept through deployment while helping define the architecture of AI-powered products.
What you'll do
Full Stack Product Development
- Build end-to-end product features across frontend, backend and AI systems.
- Develop intuitive user experiences that leverage AI capabilities in meaningful ways.
- Design and build scalable APIs and backend services.
- Own features throughout their entire lifecycle, from ideation to production rollout.
- Collaborate closely with product, design and engineering teams to deliver customer value.
AI Systems & Agent Workflows
- Design and implement intelligent agent workflows capable of planning, tool usage and multi-step execution.
- Integrate Large Language Models (LLMs), memory systems and external services into production applications.
- Create workflows that can recover gracefully from errors, incomplete tasks and failures.
- Build systems that maintain context across sessions and long-running processes.
- Develop reusable abstractions and patterns for AI orchestration.
Reliability & Performance
- Build real-time AI experiences with streaming responses, partial results, progressive updates and low-latency interactions.
- Improve observability, monitoring and alerting across AI-powered systems.
- Design robust fallback mechanisms for model, API and workflow failures.
- Continuously optimise performance, responsiveness and reliability.
- Analyse system behaviour and improve outcomes based on production data.
Product Innovation
- Evaluate user feedback and real-world usage patterns.
- Identify opportunities to improve workflow reliability and user experience.
- Contribute to AI product strategy and technical roadmap discussions.
- Help establish engineering best practices for AI-native applications.
What we're looking for
Experience
- Strong professional experience in full stack software engineering.
- Experience building and shipping production web applications.
- Proven ability to take features from concept through deployment.
- Experience working in fast-moving environments with evolving requirements.
- Demonstrated ownership of projects and technical decision-making.
Technical Skills
- Strong frontend and backend development capabilities.
- Solid understanding of system design and API architecture.
- Experience building scalable and maintainable production systems.
- Strong understanding of modern web application development.
- Experience working with both relational and non-relational databases.
- Familiarity with cloud-native development practices.
AI Experience
- Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI-powered applications and agent frameworks.
- Understanding of AI system reliability challenges.
- Experience integrating external AI services and APIs.
- Knowledge of evaluation, monitoring and optimisation strategies for AI systems.
Personal Qualities
- Strong ownership mentality.
- Comfortable operating in ambiguous environments.
- Pragmatic decision-maker with excellent judgement.
- Curious, adaptable and eager to learn.
- Passionate about building products that solve meaningful user problems.
Technology Stack
Experience with some or all of the following is beneficial:
- https://jobeax.com/link/Z30sZYC3jcRenVso
- Python
- https://jobeax.com/link/JSd7UYCSg572jJDY
- PyTorch
- OpenAI, Anthropic and open-source LLMs
- SQL and NoSQL databases
- Kubernetes
- Docker
Success in this role
Successful candidates will:
- Deliver AI-native product features that solve real customer problems.
- Build agent workflows capable of completing complex, multi-step tasks.
- Improve the reliability, scalability and responsiveness of AI systems.
- Develop robust recovery and fallback mechanisms for production environments.
- Create reusable frameworks and patterns for future AI product development.
- Help shape a product experience where AI feels proactive, dependable and useful.
Working Environment
We believe exceptional products are built by small, highly talented and execution-focused teams.
You'll be joining a collaborative environment where individuals are trusted with meaningful ownership, encouraged to challenge ideas and empowered to make decisions. We move quickly, value high-quality work and continuously learn from real-world feedback.
This is an opportunity to help build a category-defining AI product from an early stage and play a significant role in shaping both the technology and the user experience.
Why join?
- Work on cutting-edge AI products solving real-world problems.
- Build systems that combine product engineering, AI and automation.
- Significant ownership and influence over technical direction.
- Collaborate with a highly talented multidisciplinary team.
- Opportunity to shape a product from an early stage of growth.
- Tackle some of the most interesting challenges in modern AI applications.
Location: Remote from UK / Hybrid
Employment Type: Full-time
Salary Range: £60,000 - £80,000 GBP per annum
If you're a Full Stack Engineer who enjoys building intelligent products, architecting scalable systems and turning AI capabilities into practical user experiences, we'd love to hear from you. Apply now or email Jack Baxter - [email protected]