At a Glance
- Tasks: Lead the development of AI-native applications with a focus on full-stack engineering.
- Company: Join a forward-thinking tech company at the forefront of AI innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
- Other info: Be part of a diverse team that values collaboration and creativity.
- Why this job: Shape the future of AI technology while working on exciting, impactful projects.
- Qualifications: 5-8 years in full-stack development with expertise in React, TypeScript, and backend systems.
The predicted salary is between 70000 - 90000 £ per year.
As a Senior Full-Stack Engineer (3D), you will be a lead contributor in building the next generation of AI-native applications. You sit at the intersection of robust backend orchestration and intuitive frontend design. Your primary mission is to design and implement 'agentic' workflows/harnesses/systems where AI doesn't just respond to prompts but proactively executes tasks, manages state, and interacts with external tools to solve complex user problems. You will work across the entire stack, leveraging best in class frameworks and tooling for both frontend, data storage, runtime and API design. You will work closely with the UX Research team to understand and develop new interfaces and interaction techniques.
Responsibilities
- End-to-End Engineering: Lead the development of full-stack features, from database schema design to high-fidelity UI implementation.
- Agentic Workflow Orchestration: Design and implement backend logic that allows AI agents to interact with APIs, databases, and long-running processes autonomously.
- Agentic UX Design: Build 'Human-in-the-loop' interfaces that allow users to monitor, steer, and collaborate with AI agents in real-time.
- Infrastructure & Security: Architect secure and performant backend systems using best practices and design patterns, to support high-concurrency AI operations.
- State Management: Manage complex, asynchronous application states where data may be updated concurrently by both users and background AI agents.
- Performance Optimization: Build efficient applications and services, understand how to best to maximize both perceived and actual user experience. Optimize the entire request-response lifecycle, focusing on minimizing latency in LLM streaming and database queries.
- Technical Health: Maintain high standards for code quality, focusing on static type safety, clean architectural consistency and comprehensive unit and integration testing.
Minimum Qualifications
- Experience: Typically 5–8 years of professional full-stack software engineering experience.
- Frontend Stack: Deep expertise in React, TypeScript, and modern CSS/HTML. Ability to build complex, data-rich applications.
- Backend Stack: Proven experience with RDBs (e.g. PostgreSQL) and Object Stores (e.g. s3).
- API Design: Strong experience designing and consuming RESTful and/or GraphQL APIs with a focus on reliability and security.
- AI Development Tooling: Expert-level proficiency with modern agentic development environments (e.g., Cursor, Claude Code, Windsurf) to accelerate the shipping cycle.
- Architecture: Solid understanding of distributed systems, serverless architectures, and relational database modeling.
- Deployment: Familiarity with CI/CD practices and tools (e.g. Jenkins) and cloud providers for compute/network (e.g. AWS ALBs/ECS).
- Communication: Ability to bridge the gap between technical LLM capabilities and practical, user-facing product features.
Preferred Qualifications
- Agentic Frameworks: Hands-on experience with agentic orchestration frameworks (e.g., LangChain, LangGraph, CrewAI, or PydanticAI).
- AI UX Patterns: Deep understanding of 'Agentic UX' patterns, such as ReAct, streaming UI updates, generative UI, and proactive notifications.
- LLM Observability: Experience with monitoring and evaluation tools for AI agents (e.g., LangSmith, Braintrust, or Helicone) to track agent reliability and cost.
- Tool-Calling Expertise: Proven track record of building 'Tools/Functions' for LLMs to interact with third-party SaaS platforms or internal databases.
- Durable Runtimes: Hands-on experience with durable runtime frameworks such as temporal or similar.
- Storage: Experience with Supabase e.g. Row Level Security (RLS), and database migrations.
- Vector Databases: Familiarity with pgvector or other vector stores for RAG workflows.
- Real-time Systems: Experience with WebSockets or Supabase Realtime to provide instant feedback for long-running agentic tasks.
Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive.
Senior Full-Stack Engineer (3D) employer: Merantix
As a Senior Full-Stack Engineer (3D) at our innovative company, you will be part of a dynamic team dedicated to pushing the boundaries of AI-native applications. We offer a collaborative work culture that values creativity and technical excellence, alongside opportunities for professional growth through cutting-edge projects and mentorship. Located in a vibrant tech hub, we provide a stimulating environment where your contributions directly impact the future of technology, all while enjoying competitive benefits and a commitment to diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full-Stack Engineer (3D)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those that highlight your full-stack capabilities. Make sure to include any AI-native applications you've worked on, as this will catch the eye of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Practice coding challenges and be ready to discuss your past experiences in detail. Remember, they want to see how you think and solve problems!
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Senior Full-Stack Engineer (3D)
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with full-stack development. We want to see your expertise in React, TypeScript, and backend systems like PostgreSQL. Don't hold back—this is your chance to shine!
Tailor Your Application:Take a moment to customise your application for the Senior Full-Stack Engineer role. Mention specific projects where you've designed agentic workflows or worked on AI-native applications. This shows us you understand what we're looking for and how you fit in.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your past experiences and how they relate to the responsibilities of this role. We appreciate clarity and want to easily grasp your qualifications.
Apply Through Our Website:Make sure to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy—just follow the prompts!
How to prepare for a job interview at Merantix
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially React, TypeScript, and PostgreSQL. Brush up on your knowledge of RESTful and GraphQL APIs, as well as any agentic frameworks like LangChain or LangGraph. Being able to discuss your experience with these tools confidently will show that you're a strong fit for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed and implemented complex workflows or systems. Think about how you've tackled challenges in state management or performance optimisation in past projects. This will demonstrate your ability to handle the responsibilities outlined in the job description.
✨Communicate Clearly with Non-Techies
Since the role involves bridging technical capabilities with user-facing features, practice explaining complex concepts in simple terms. You might be asked to describe how AI can enhance user experience, so being able to articulate this clearly will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to AI development and user experience design. Inquire about their current projects or challenges they face in building agentic workflows. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
