Artificial Intelligence Engineer

The Opportunity We are an investment firm building a next-generation "AI Operating System" to power our deal flow and investor relations.

We are looking for a Low-Code Engineer who can own our operations stack.

We aren't looking for someone to just connect simple triggers (Zapier-style).

We need an architect who can build complex, multi-step workflows that fetch unstructured data (call transcripts, email history), process it via LLMs (Claude / GPT), and execute high-stakes communications with precision.

What You Will Build (General Scope) AI-Driven Communications : Workflows that draft hyper-personalized emails to investors and clients by referencing historical data and context.

Intelligent Reporting Loops : Systems that periodically query our database to aggregate activity logs and generate strategic summaries for stakeholders.

Data Synchronization : Ensuring seamless data flow between our CRM (Attio), Database (Supabase), and Deal Room (Airtable).

Contextual RAG : Building logic that pulls specific past interactions (transcripts) to inform future AI outputs.

The Tech Stack Orchestration : n8n (Primary requirement).

Database : Supabase (PostgreSQL).

CRM : Attio & Airtable.

AI : Anthropic (Claude 3.5 Sonnet) & OpenAI APIs.

Who You Are n8n Expert : You are comfortable using Code Nodes (JavaScript) to manipulate JSON data, handle error routing, and manage complex logic trees.

Data Literate : You are comfortable writing SQL queries (Supabase) to fetch, filter, and aggregate specific datasets (e.g., "Fetch interactions from the last 48 hours").

Prompt Engineer : You understand how to structure System vs.

User prompts to prevent hallucinations and ensure strict formatting compliance.

Detail Oriented : We automate high-value interactions.

You understand the importance of testing and "kill-switches" to prevent errors.