Enterprise Intelligence Platform Enhancement

Senior Forward-Deployed Software Engineer Needed to Finish Enterprise Intelligence Platform MVP (Python / FastAPI / Graph / Data Pipelines)

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Project Overview

I am building RealScore, a financial intelligence infrastructure platform designed for investigators, regulators, financial institutions, and government entities.

The system ingests public records and financial intelligence data, resolves entities, constructs ownership relationships, and produces explainable risk outputs.

The repository is already substantially built. The core architecture, services, pipelines, and UI are implemented and functional.

The first core feature (entity search → ownership → sanctions exposure → explainable risk scoring) is approximately 70–80% complete.

However, it needs a high-level engineer to finish the final mile and bring the feature to production-quality MVP pilot readiness.

This is not a greenfield project and not a beginner task.

You will be working with an existing codebase containing:
• Data ingestion pipelines
• Entity resolution logic
• Risk scoring
• Graph relationships
• Search APIs
• Frontend investigator interface

I need someone capable of reading the repository, understanding the architecture quickly, and finishing the system without heavy supervision.

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Current Architecture

Backend

Python 3.11
FastAPI
SQLAlchemy
Pydantic

Data Systems

PostgreSQL
Neo4j (graph relationships)

Frontend

Next.js 15
React 19
TypeScript
TailwindCSS

Infrastructure

Docker
Alembic migrations
Prometheus / Grafana monitoring

Services in Repository

Current services include:
• API gateway
• data ingestion services
• normalization services
• entity resolution service
• graph service
• risk scoring service
• alert engine
• search service
• evidence / integrity services

The system currently exposes ~23 API endpoints and includes a working UI.

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What Is Already Working

The system currently performs the following flow:

Data ingestion → normalization → integrity seal → entity resolution → graph upsert → risk scoring → alert generation.

The frontend already includes:
• dashboard
• entity search
• entity details
• relationship graph
• alerts
• evidence export

The feature works but needs performance improvements, reliability fixes, and result quality improvements.

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What Needs to Be Done

Your responsibility is to finish the first feature to production-quality MVP readiness.

This includes:

1. Search Performance and Relevance

Improve entity search responsiveness and ranking.

Search should:
• return results instantly
• prioritize relevant entities
• handle partial queries
• support real-world datasets

2. Entity Resolution Improvements

Improve entity matching logic so results are:
• accurate
• deduplicated
• consistently linked across data sources

3. Data Pipeline Stability

Audit the ingestion and pipeline services to ensure:
• idempotent ingestion
• consistent normalization
• reliable processing

4. Result Completeness

Ensure returned entity profiles include all available information such as:
• ownership relationships
• sanctions exposure
• risk scoring
• related entities

5. Backend Optimization

Optimize API endpoints and database queries to reduce latency.

6. Graph Integration

Improve graph relationships and traversal for ownership and related entities.

7. Frontend Integration

Ensure the frontend displays all relevant entity data clearly and correctly.

8. Evidence Traceability

Outputs must clearly show why the system generated a given risk score.

Explainability is important.

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This Role Is NOT For

Please do not apply if you are:
• a junior developer
• someone who only builds CRUD apps
• someone who needs step-by-step direction
• someone who has never worked with large codebases
• someone unfamiliar with data pipelines
• someone unfamiliar with backend architecture

This project requires someone who can operate independently and make strong engineering decisions.

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Ideal Candidate

You should have experience with:
• large Python backend systems
• FastAPI or similar frameworks
• data pipeline architecture
• entity resolution or identity matching
• graph databases (Neo4j preferred)
• PostgreSQL performance optimization
• search systems
• containerized infrastructure

Experience building systems used by investigators, financial systems, compliance tools, or data platforms is highly valuable.

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The Kind of Engineer I’m Looking For

Someone who:
• reads the codebase and understands the system quickly
• identifies weaknesses without needing instructions
• proposes improvements proactively
• writes clean production-quality code
• cares about performance and reliability
• can finish complex systems without babysitting

Think forward-deployed engineer or founding engineer mindset.

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Deliverables

The goal is a fully stable first feature ready for pilot deployment.

Success criteria include:
• fast entity search
• accurate results
• complete entity profiles
• stable pipelines
• clean frontend display
• explainable risk scoring

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Timeline

I am looking for someone who can move quickly once they understand the system.

Initial engagement will focus on finishing this feature.

If the work is excellent, there is opportunity for long-term involvement on the platform.

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To Apply

Please include:
1. Links to complex backend systems you have built
2. Experience with Python / FastAPI / data pipelines
3. Experience working on large production systems
4. A short explanation of how you would approach improving search performance in a system like this

Applications that do not demonstrate serious engineering experience will not be considered.

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Final Note

This is not a typical freelancer project.

The platform is intended to become enterprise-grade intelligence infrastructure.

I am looking for someone capable of operating at that level.

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If you are a high-level engineer who enjoys solving complex system problems, I would like to work with you.