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Prosigliere Tech Stack

AI-powered advisory and engineering services for early-stage founders

IT Services and IT Consulting Austin , TX 51–200 employees Founded 2023 Privately Held

Prosigliere pairs fractional C-suite advisory with hands-on engineering, built on a modern AI-first stack. The company actively adopts DSPy and LlamaIndex while running Python, TypeScript, and Kubernetes across AWS infrastructure—a foundation that signals investment in LLM-driven applications. Early-stage hiring across data, engineering, and principal roles aligns with a services model scaling custom AI implementations alongside traditional staff augmentation.

Tech Stack 29 technologies

Core StackPython TypeScript NestJS AWS Lambda DynamoDB AWS RDS Docker Kubernetes AWS JavaScript C# WordPress Snowflake PostgreSQL Qwen Langfuse HTML CSS SQL Drupal Sitecore Git Liquid AWS CDK Zod Aurora

AdoptingDSPy LlamaIndex

What Prosigliere Is Building

◆Challenges

Improving model accuracy
Reducing latency
Monitoring model failures
Troubleshooting cms issues
Data migration challenges

▲Active Projects

Workout entry system
Workout scaling recommendations
User score reporting

Hiring Activity

Accelerating6 roles · 3 in 30d

Department

Data

2

Engineering

2

Support

1

Seniority

Principal

3

Mid

1

Senior

1

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About Prosigliere

Prosigliere operates as an advisory and engineering collective serving founders and early-stage companies. The business spans fractional C-suite placement, staff augmentation, embedded technical teams, board advisory, and hands-on development (web, mobile, API, UX design). Founded in 2023 and headquartered in Austin with 51–200 employees, the firm hires across the US, Brazil, and Argentina. Current challenges center on model accuracy, latency optimization, and monitoring model failures—typical friction points for teams building AI-augmented applications.

HeadquartersAustin , TX

Company Size51–200 employees

Founded2023

Hiring MarketsBrazil, Argentina, United States

Frequently Asked Questions

What tech stack does Prosigliere use?

Python, TypeScript, NestJS, AWS (Lambda, RDS, DynamoDB, Aurora), Kubernetes, Docker, PostgreSQL, Snowflake, and modern LLM tools including Qwen, Langfuse, DSPy, and LlamaIndex.