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# Founding Engineer

- **Company:** Mirtech Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $105,000.0 - $130,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Cloud Computing, Decision Support Systems, Python (Programming Language), Machine Learning, Language Modeling, Operational Data Store, Search Technologies, Software Engineering, Large Language Models, Reliability of Systems, Backend, AI Platforms, Build Tools, Machine Learning Operations, Api Design
- **Published:** August 10, 2026
- **Apply:** https://www.careerjet.com/job/us768ae65178df8c88a072614471557bd5/eaa

## About the Role

* 5+ years experience in software engineering or machine learning engineering
 * Strong Python engineering ability
 * Experience building or deploying LLM based applications in production
 * Familiarity with retrieval systems, embeddings, or semantic search
 * Experience working with APIs and distributed backend systems
 * Comfortable working in early stage environments with changing requirements
 * Strong focus on building working systems that ship and run in production

Useful Experience

 * Building internal tools or workflow automation systems
 * Experience with LLM based automation or decision support systems
 * Cloud experience (AWS, GCP, or similar)
 * Experience operating production ML systems over time and improving reliability

## Description

We are looking for strong engineers with an AI-first mindset who enjoy operating in fast-moving environments, taking ownership early, and helping build products from the ground up. The company is well-funded, growing quickly, and building in a space with huge real-world impact.
The Opportunity

 * Work on production AI systems inside a small, high ownership engineering team
 * Build systems that handle messy operational data, structured and unstructured information, and multi step decision workflows
 * Combine language models, retrieval systems, and tool use into end to end automation pipelines
 * Move beyond prototypes and focus on systems that run reliably in production environments
 * Work closely with domain specialists to translate manual workflows into software driven processes
 * Help define architecture and engineering standards for an early stage AI platform
 * Iterate quickly based on real usage and system feedback rather than lab conditions

What You Will Work On

 * Building LLM based systems that execute multi step operational workflows
 * Designing retrieval systems over documents, records, and internal data sources
 * Developing agent style workflows that can call tools and complete tasks end to end
 * Improving system reliability through evaluation, testing, and monitoring frameworks
 * Working with domain experts to map real world processes into system logic
 * Building backend services and APIs that support AI driven workflows
 * Supporting deployment and scaling decisions across the platform
 * Improving systems using production feedback and real world usage data


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