Senior AI Engineer

Tiber Technologies; Maryland; On-site; USD 140,000 - 180,000; Full time

Job summary

Tiber Technologies seeks a Senior AI Engineer in Maryland to design, develop, and maintain LLM-based AI systems, focusing on retrieval, automation, and vulnerability analysis workflows. You will translate requirements into scalable AI-driven solutions and collaborate with engineers to advance secure, distributed deployments.

The role requires strong Python expertise, production experience with LLMs, and familiarity with data pipelines, vector stores, and CI/CD practices.

Qualifications

• Must be a U.S. citizen.
• Active security clearance with polygraph required.
• Bachelor’s degree in computer science, engineering, or related field.

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

Skills

Python

LLM integration

Data pipelines

Vector databases

RAG architectures

Static analysis tools

Agile practices

Education

Bachelor's degree

Tools

Git

Jira

Confluence

Job description

When You Love the Work You Do, Any Mission Is Possible

Position: Senior AI Engineer

*** (Active Clearance with a Polygraph is Required)

We’re on multiple contracts and have many opportunities. It is encouraged if applicants don’t meet all the technical requirements to still apply.

Join Our Team

At Tiber, we believe our people are our greatest investment. We are committed to creating an environment where employees can grow, contribute, and build meaningful careers. From professional development opportunities and mentorship to access to the tools and resources needed to succeed, we support our team members at every stage of their journey.

Our success is driven by the diverse skills, experiences, and perspectives each person brings to the team. We foster a collaborative culture built on teamwork, innovation, and shared goals — where ideas are valued, contributions are recognized, and everyone has the opportunity to make an impact.

When you join Tiber, you become part of a team that values excellence, continuous improvement, and the people behind the mission.

Position 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

Qualifications

• 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.

External Referrals

Do you know a cleared professional looking to advance their career? Want to earn some extra cash? Refer them to us by sending their name and contact information, and you may be eligible for a referral bonus of up to $10,000 for each successful hire.

Don’t see the right opportunity listed right now? Feel free to reach out—our team will keep you informed as new contracts and positions become available.

Send referrals and inquiries to: [e-mail]

EEO Employer

Tiber Technologies is an Equal Opportunity Employer and does not discriminate based on protected veteran status, disability, or any other legally protected status. All employment decisions are based on merit, qualifications, and business needs and apply to all aspects of employment, including recruiting, hiring, promotion, compensation, benefits, training, and termination.