Tiber Technologies
AI

Senior AI Engineer

Tiber Technologies · Annapolis Junction, MD, US

Actively hiring Posted 3 days ago

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

Basic 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

Preferred qualifications

  • 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

About the company

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.

Tags & focus areas

Used for matching and alerts on DevFound
Fulltime Ai Ai Engineer

Next step

Ready to Join the Team?

Apply once with DevFound. We'll route your profile to Tiber Technologies and keep you informed when matching AI roles go live.

  • Single profile, multiple curated AI opportunities
  • No spam roles — only vetted AI positions
  • You choose which roles to apply to
Sign up to apply

No CV uploads. We never share your profile without your consent.

Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.