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- Tasks: Lead engineering to create intelligent workflows for Buy Side M&A.
- Company: Join a pioneering startup in the heart of London, shaping the future of AI-driven solutions.
- Benefits: Enjoy flexible working options and a chance to shape your own role.
- Why this job: Be part of a groundbreaking team, defining architecture and product DNA from the ground up.
- Qualifications: 7+ years in full-stack development with strong back-end skills required.
- Other info: Opportunity to work with cutting-edge technologies like Claude API and n8n.
The predicted salary is between 48000 - 84000 £ per year.
As Technical Co Founder / Founding Engineer, you’ll lead engineering as we productise the role of a Buy Side M&A — turning scattered calls, decks, and spreadsheets into intelligent, persistent agent workflows that get smarter over time. This isn’t just prompt-chaining. You’ll design and own:
- Autonomous agents that can reason, plan, and execute over multi-session lifecycles
- Secure memory containers that allow context to persist for months
- AI-first interfaces that combine chat, file handling, enrichment tools, and decision logic
This is a ground-floor opportunity to define both the architecture and the product DNA.
What you’ll be building:
- Agent Infrastructure
- Build robust agent flows using Claude + n8n (multi-turn, tool-using, context-aware)
- Solve failure points in prompt injection, webhook logic, and payload parsing
- Orchestrate tool use across workflows (e.g. buy-side sourcing, sell-side preparation)
- Memory, Privacy & Data Isolation
- Architect persistent memory for long-form agent interactions (vector store + DB hybrid)
- Create private containers per user/project (multi-tenant security by design)
- Ensure session-based recall of chats, uploads, enrichment, and decisions
- UX, Chat Interface & Tools
- Optimise and polish our Claude-powered chat interface (React)
- Embed file upload, parsing, and real-time enrichment tools within conversation flows
- Ensure performance even with large documents and asynchronous processing
- Productising Expert Logic
- Convert real-world consulting flows into structured agent logic (if/but, intent-routing)
- Implement onboarding flows to auto-configure agent behaviour by user type (buyer, seller, advisor)
- Guide architecture choices for future modular agent deployment
Stack: AI: Claude API (Anthropic), Exa (search/enrichment); Workflow Orchestration: n8n (webhooks, branching, logic); Memory & DB: PostgreSQL, Redis, Pinecone; Front-End: React, Tailwind; Infra: Replit, Make.com (light no-code layer), AWS/GCP optional
Requirements:
Required
- 7+ years in full-stack development (strong back-end bias)
- Experience with:
- LLM APIs and context/state management (Claude, OpenAI, etc)
- Workflow engines like n8n or Make
- Designing secure multi-tenant SaaS products
- Scaling DBs and infra across real-time chat and long-term memory
Nice-to-Have
- Built or scaled an agent-native product (LangChain, Replit AI, etc)
- Familiar with M&A, private equity, or high-value B2B workflows
- Strong product sense—can simplify complexity without dumbing things down
Contact Detail:
Morpheus Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer (City of London)
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and agent-based workflows. Understanding how to leverage LLM APIs like Claude will give you a significant edge, as this role heavily involves designing intelligent systems that can reason and execute tasks.
✨Tip Number 2
Network with professionals in the M&A and private equity sectors. Engaging with industry experts can provide insights into the specific challenges they face, which you can address in your discussions during the interview process.
✨Tip Number 3
Showcase your experience with multi-tenant SaaS products. Be prepared to discuss how you've designed secure systems that manage user data effectively, as this is crucial for the role and will demonstrate your capability to handle sensitive information.
✨Tip Number 4
Prepare to discuss your approach to optimising user experiences in chat interfaces. Since the role involves enhancing a Claude-powered chat interface, having concrete examples of past projects where you improved UX will be beneficial.
We think you need these skills to ace Founding Engineer (City of London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your full-stack development experience, particularly your back-end skills. Emphasise any work you've done with LLM APIs, workflow engines like n8n, and secure multi-tenant SaaS products.
Craft a Compelling Cover Letter: In your cover letter, express your passion for building intelligent agent workflows. Discuss your experience in designing complex systems and how it aligns with the role of Founding Engineer. Be specific about your achievements and how they relate to the job description.
Showcase Relevant Projects: Include examples of projects where you've built or scaled agent-native products or worked with M&A processes. Highlight your problem-solving skills and ability to simplify complex systems while maintaining functionality.
Prepare for Technical Questions: Anticipate technical questions related to agent infrastructure, memory architecture, and UX design. Be ready to discuss your approach to building robust workflows and optimising chat interfaces, as these are key aspects of the role.
How to prepare for a job interview at Morpheus Talent Solutions
✨Showcase Your Technical Expertise
As a Founding Engineer, you'll need to demonstrate your deep understanding of full-stack development and LLM APIs. Be prepared to discuss specific projects where you've successfully implemented complex systems, particularly those involving context management and workflow engines like n8n.
✨Understand the Product Vision
Familiarise yourself with the company's goals and how they plan to productise M&A workflows. Be ready to articulate how your skills can contribute to building intelligent agent workflows and enhancing user experience through innovative design.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Prepare to walk through your thought process on solving issues related to prompt injection, data isolation, and memory architecture. This will showcase your analytical skills and ability to think critically under pressure.
✨Demonstrate Your Product Sense
Highlight your ability to simplify complex concepts without losing their essence. Discuss any previous experiences where you transformed intricate consulting flows into structured logic, as this aligns closely with the role's requirements.
