Job Overview :

We are looking for an experienced AI / Python Technical Lead to own the technical architecture and AI strategy for a capital-raising automation platform, and to guide the backend and AI development effort end to end.

The ideal candidate should have strong experience architecting Python backend systems, integrating LLM/AI services, and leading development teams, with the judgment to make sound technical decisions on an AI-heavy, data-intensive product.

Technical Requirements :

Technical Architecture & Leadership :

- Own the overall system architecture, ensuring backend components (matching engine, document parsing, signal detection, outreach, reporting) work as one connected pipeline rather than disconnected modules.

- Set technical standards and review the work of backend developers for consistency and quality.

- Make and document key architecture decisions, including database design and service boundaries.

AI / LLM Strategy :

- Decide on the AI approach for the platform, including choice of provider (Anthropic Claude, OpenAI, or similar) versus local/offline models, and resolve any inconsistencies in how AI is currently integrated.

- Design the prompting and data-extraction strategy for founder document parsing and outreach message generation.

- Own the design of the investor-matching and ranking logic, including use of vector embeddings and similarity search.

- Evaluate AI output quality and put safeguards in place before AI-generated content (e.g., investor outreach messages) reaches real users.

Python Backend Oversight :

- Guide backend developers building in Python (FastAPI/Django), reviewing code and API design for scalability and maintainability.

- Ensure clean integration between backend APIs and the frontend team's requirements.

- Identify and resolve technical blockers across the backend team.

Database & Data Architecture :

- Own the design of the PostgreSQL with pgvector data layer supporting investor and founder records, matching, and reporting.

- Ensure data structures support both current requirements and future scale.

Team Mentorship & Delivery :

- Mentor backend and AI-focused developers, providing technical guidance and code review.

- Coordinate with the Project Coordinator on timelines, technical risks, and scope trade-offs.

- Communicate technical decisions and trade-offs clearly to non-technical stakeholders.

Cloud Deployment & Infrastructure :

- Set direction for deployment on cloud infrastructure such as AWS, Azure, or GCP.

- Ensure logging, monitoring, and performance tracking are in place across services.

- Ensure the system is built for reliability and scale from the start.

Security & Compliance :

- Ensure secure authentication, authorization, and data-handling practices across the platform.

- Flag and help resolve compliance-sensitive decisions, such as the approach to automated LinkedIn outreach.

Additional Considerations :

- Prior experience leading or architecting an AI-heavy product from early-stage codebase to production is a strong plus.

- Experience working with LLM APIs (Claude, OpenAI, or similar) in production systems.

- Comfortable reviewing and rationalizing an existing partial codebase built by multiple prior contributors.

- Experience working with cloud platforms (AWS, Azure, or GCP).

- Strong communication skills, with the ability to explain technical trade-offs to non-technical stakeholders.

Benefits :

- Competitive salary with performance-based incentives.

- Ownership of the technical direction for an AI-driven platform from an early stage.

- Collaborative and growth-oriented work environment.

Join Us :

If you have strong experience architecting Python and AI-driven systems, enjoy leading a technical team, and want to shape the direction of an AI-heavy product from the ground up, we encourage you to apply and be part of our team.