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- Tasks: Lead engineering to create intelligent workflows for M&A processes.
- Company: Join a pioneering startup focused on AI-driven solutions in finance.
- Benefits: Enjoy flexible work options and the chance to shape innovative products.
- Why this job: Be at the forefront of AI technology, making a real impact in the industry.
- Qualifications: 7+ years in full-stack development with strong back-end skills required.
- Other info: This is a ground-floor opportunity to define product architecture and DNA.
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: 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
Founding Engineer employer: Morpheus Talent Solutions
Contact Detail:
Morpheus Talent Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Engineer
✨Tip Number 1
Network with professionals in the AI and M&A sectors. Attend industry meetups, webinars, or conferences to connect with potential colleagues and mentors who can provide insights into the role and company culture.
✨Tip Number 2
Showcase your technical skills through personal projects or contributions to open-source initiatives related to AI and agent-based systems. This demonstrates your hands-on experience and passion for the field.
✨Tip Number 3
Prepare to discuss your approach to designing secure multi-tenant SaaS products. Be ready to share examples of how you've tackled similar challenges in past roles, as this will highlight your relevant experience.
✨Tip Number 4
Familiarise yourself with the latest trends in AI and M&A workflows. Being knowledgeable about current developments will help you engage in meaningful conversations during interviews and demonstrate your commitment to the role.
We think you need these skills to ace Founding Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your full-stack development experience, particularly with back-end technologies. 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. Highlight your experience with technologies mentioned in the job description, such as Claude API, PostgreSQL, and React. This will demonstrate your hands-on expertise.
Prepare for Technical Questions: Anticipate technical questions related to full-stack development, memory architecture, and UX design. Be ready to discuss your problem-solving approach and how you would tackle challenges mentioned in the job description, such as prompt injection and session-based recall.
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 experience with 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 mission and how they aim to productise M&A workflows. During the interview, 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 that require you to think critically and creatively. Practice explaining your thought process as you tackle problems related to agent infrastructure, memory architecture, and secure multi-tenant designs.
✨Demonstrate Your Product Sense
Highlight your ability to simplify complex concepts without losing their essence. Discuss any previous experiences where you've transformed intricate consulting flows into structured logic, showcasing your understanding of user needs and product functionality.
