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# AI Engineer

- **Company:** Tiber Technologies
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Confluence, JIRA, Audit Trail, Automation of Tests, Static Program Analysis, Information Engineering, Distributed Systems, Python (Programming Language), Machine Learning, Meta-Data Management, Software Construction, Software Engineering, Systems Integration, Unstructured Data, Data Ingestion, Large Language Models, Git, Information Technology, Machine Learning Operations, Vulnerability Analysis
- **Published:** September 12, 2026
- **Apply:** https://startup.jobs/senior-ai-engineer-tiber-technologies-9985434

## About the Role

* Strong proficiency in Python and experience integrating LLM-based systems into production workflows
 * Experience with data engineering pipelines, including transformation and vectorization of structured and unstructured data
 * Familiarity with static analysis tools and RAG-based architectures
 * Experience working with relational and vector databases
 * Understanding of Agile development practices and tools such as Git, Jira, and Confluence

Nice to Haves

 * Experience with Rust or systems-level programming languages
 * Familiarity with AI development tools such as Claude Code or Codex
 * Experience implementing CI/CD pipelines for AI/ML systems
 * Experience with distributed systems or large-scale AI infrastructure

Requirements:

 * Must be a U.S. citizen.
 * Must hold an active clearance with a Polygraph
 * Bachelor's degree in computer science, engineering, or related field

Physical Requirements:

 * This position involves sedentary work with physical requirements expected for at least 50% of the time. Essential functions include prolonged periods of sitting, standing, walking, and talking.
 * Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

## Description

We are seeking a Senior AI Engineer with strong software engineering experience and deep knowledge of AI/ML systems to support advanced work in artificial intelligence and emerging technologies. In this role, you will design, develop, and maintain LLM-based systems that integrate retrieval, automation, and analysis workflows to improve vulnerability detection, assessment, and mitigation capabilities.

You will work closely with technical stakeholders to translate requirements into scalable AI-driven solutions, build orchestration frameworks, and enhance existing engineering processes through applied machine learning techniques.

Responsibilities:

 * Design, develop, and maintain LLM orchestration frameworks that integrate static analysis tools, retrieval-augmented generation (RAG) systems, and automated testing pipelines
 * Develop data ingestion and transformation pipelines to process source code, documentation, and test outputs for AI/ML workflows
 * Build and maintain database solutions supporting RAG architectures, including vector stores, metadata management, and audit logging systems
 * Collaborate with systems and software engineers to design and deploy AI-enabled tools in secure and distributed environments
 * Conduct performance profiling, optimization, and scalability analysis of AI systems
 * Support software engineering best practices across the development lifecycle, including testing, deployment, and documentation


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