Quick Overview
Job Description
Job Summary
Location: United States
Experience: 5+ years in production AI/data systems
Job Type: Permanent
Thinking Minds' client is looking for an experienced Applied AI Engineer to enhance the speed and quality of critical workflows. This role is pivotal in building AI systems that enable faster iteration, automate complex tasks, and allow for autonomous exploration at a large scale. The engineer will work with frontier models and agentic systems to improve quantitative research and software development processes.
Ideal Candidate Should Have
AI infrastructure experience
Reinforcement learning expertise
Strong problem-solving skills
Experience with agent evaluation
Ability to work with cross-functional teams
Role Overview
The Applied AI Engineer will be responsible for developing scalable infrastructure for training and operating language models and AI agents. The role involves creating research environments and evaluation systems to enhance agent performance. The engineer will improve model capabilities through post-training and workflow optimization.
They will also design safeguards for autonomous systems and collaborate with various teams to implement AI solutions.
Key Responsibilities
Build scalable infrastructure for AI agents
Develop evaluation systems for agent performance
Improve model capabilities through reinforcement learning
Design safeguards for autonomous systems
Collaborate with teams to identify AI opportunities
Evaluate new models and techniques
Share technical knowledge across teams
Top Skills and Modules
AI infrastructure
Reinforcement learning
Language models
Agent evaluation
Workflow optimization
Post-training techniques
Cross-functional collaboration
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