ML Engineer – Agentic Systems & LLM Orchestration

Crossing Hurdles; Turkey; Presencial; TRY 420 000 - 580 000; Tempo integral

Resumo da oferta

Crossing Hurdles is seeking a product-focused AI/ML engineer to design and implement multi-step agentic workflows and memory systems. You will collaborate with researchers to translate proofs into concrete technical specifications and build reusable frameworks for AI agents.

You will evaluate agent performance across steps, optimize workflows for hypothesis generation, and implement architecture frameworks using orchestration tools. Join us to push automated structured output generation.

Qualificações

• Proven experience with multi-step agentic systems using orchestration frameworks.
• Background in AI/ML applications within STEM fields like Mathematics or Physics.
• Advanced Python software development skills.
• Experience in LLM orchestration and tool integration.
• Ability to translate complex academic material into modular systems.
• Strong communication for collaboration with researchers.

Responsabilidades

• Design and build multi-step agentic workflows for reasoning and validation.
• Collaborate with researchers to translate proofs into technical specifications.
• Develop reusable frameworks and memory systems for AI agents.
• Evaluate and enhance agent performance across execution steps.
• Optimize workflows for hypothesis generation and technical validation.
• Implement architecture frameworks using various orchestration tools.
• Create automated pipelines for structured output generation.

Conhecimentos

Multi-step agentic systems

Orchestration frameworks

LLM orchestration

Python programming

Academic translation

Communication

Formação académica

STEM AI/ML in Mathematics or Physics

Ferramentas

Python

Descrição da oferta de emprego

Crossing Hurdles is seeking a product-focused AI/ML engineer to design and implement multi-step agentic workflows and memory systems. You will collaborate with researchers to translate proofs into concrete technical specifications and build reusable frameworks for AI agents.

You will evaluate agent performance across steps, optimize workflows for hypothesis generation, and implement architecture frameworks using orchestration tools. Join us to push automated structured output generation.