6 дней назад
Intern AI Systems (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Intern AI Systems (AI): Designing and building agent-based systems that reason, use tools, evaluate outcomes, and improve through feedback with an accent on multi-agent architectures, tool-use workflows, and autonomous AI systems. Focus on designing planning, memory, delegation, evaluation, observability, and failure-recovery mechanisms for reliable long-running agents.
Location: Dallas, Texas, United States (Hybrid)
Company
Birdseye develops AI-driven remote facility supervision solutions combining hardware, monitoring agents, and data-driven security and operational insights for the trucking and logistics industry.
What you will do
- Design single-agent and multi-agent systems and workflows.
- Build tool-use and function-calling workflows that interact with software, data, and other AI models.
- Design feedback loops and evaluation frameworks to assess and improve agent outputs.
- Develop agent planning, memory, delegation, coordination, and multi-step task execution.
- Build autonomous workflows with human review where appropriate.
- Improve reliability, observability, and failure recovery in long-running and self-improving AI systems.
Requirements
- Understanding of modern AI systems and agent design.
- Ability to design agent architectures and workflows involving multiple components.
- Experience or demonstrated ability to work with multi-agent systems, tool selection, planning, and task decomposition.
- Ability to evaluate agent failures and design feedback and evaluation loops.
- Ability to build and test ideas independently and apply relevant AI research.
- Strong AI projects or research experience; graduate students in relevant technical fields are especially encouraged, while undergraduates and self-taught candidates with strong projects may also apply.
Nice to have
- M.A.Sc., M.Sc., or Ph.D. studies in a relevant technical field.
- A strong portfolio, GitHub profile, or research project record.
Culture & Benefits
- Fast-paced environment focused on AI-driven safety, security, and operational support.
- Work alongside professionally trained monitoring agents and AI systems supporting logistics facilities.
- Background checks are required, including references, educational verification, criminal checks, and credit checks where applicable.
- Certain roles may also require additional testing.
Hiring process
- Submit a resume or CV, portfolio or GitHub profile, and one to three projects or research efforts.
- Complete required background checks and any applicable testing.
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