Sr. AI Engineer (Applied AI & ML Systems)

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr. AI Engineer (Applied AI & ML Systems) based in the United States.
This role focuses on designing and deploying advanced AI systems that combine machine learning, large language models, and agentic workflows to solve complex, real-world business problems.


You will be responsible for building production-grade AI solutions that balance accuracy, scalability, latency, cost, and reliability across enterprise environments.


The position emphasizes an evaluation-first engineering approach, ensuring that every AI system is designed with clear success metrics, monitoring, and continuous improvement strategies.


You will collaborate closely with product, engineering, and business stakeholders to identify opportunities and translate them into scalable AI-driven solutions.


The environment is highly technical, fast-evolving, and innovation-driven, with a strong focus on experimentation and responsible AI deployment.


This is a high-impact role where your work directly shapes how intelligent systems are built, measured, and operated at scale.


Accountabilities

• Design, build, and deploy AI systems using machine learning, LLMs, retrieval-augmented generation (RAG), and agentic workflows to address business needs.
• Define evaluation frameworks and success metrics upfront, including offline/online testing, monitoring strategies, and error analysis.
• Develop and optimize LLM-powered applications using prompt engineering, context engineering, and multi-step reasoning pipelines.
• Build and maintain production-grade AI systems, including data pipelines, model serving infrastructure, and observability tools.
• Collaborate with cross-functional teams to prioritize AI use cases and align on performance, delivery, and business impact goals.
• Monitor and improve deployed AI systems by balancing quality, latency, co...