As Technical Co Founder / Founding Engineer, you’ll lead engineering as we productise the role of an Buy Side M&A — turning scattered calls, decks, and spreadsheets into intelligent, persistent agent workflows that get smarter over time.
If you are interested in applying for this job, please make sure you meet the following requirements as listed below.
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 :
1. 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 parsingOrchestrate tool use across workflows (e.g. buy-side sourcing, sell-side preparation)2. 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 decisions3. UX, Chat Interface & Tools
Optimise and polish our Claude-powered chat interface (React)Embed file upload, parsing, and real-time enrichment tools within conversation flowsEnsure performance even with large documents and asynchronous processing4. 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 deploymentStack
AI : Claude API (Anthropic), Exa (search / enrichment)Workflow Orchestration : n8n (webhooks, branching, logic)Memory & DB : PostgreSQL, Redis, PineconeFront-End : React, TailwindInfra : Replit, Make.com (light no-code layer), AWS / GCP optionalRequirements : 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 MakeDesigning secure multi-tenant SaaS productsScaling DBs and infra across real-time chat and long-term memoryNice-to-Have
Built or scaled an agent-native product (LangChain, Replit AI, etc)Familiar with M&A, private equity, or high-value B2B workflowsStrong product sense—can simplify complexity without dumbing things down