Applied AI Research Engineer
Core
Transform cutting-edge AI research concepts into practical, reusable systems for real-world applications by building reinforcement learning environments, agentic systems, and LLM pipelines.
Role type
Applied AI Research Engineer
Builds
Reinforcement learning environments, agentic systems, LLM pipelines, evaluation frameworks, and local/self-hosted model deployments
Domain
Artificial Intelligence / Machine Learning
Deliverable
production ML models (via careerplan.io/jobs/8f743455-9dfa-4cc3-9dac-ad72eece6a32-applied-ai-research-engineer-at-jobgether)
Required skills
Reinforcement learning, agentic systems, LLM pipelines, model evaluation, experimentation, reproducibility, software engineering, synthetic data generation, local inference systems
Preferred skills
Published research papers, SWE-bench experience, dataset development
Technologies
Reinforcement learning frameworks, LLM frameworks, evaluation harnesses, self-hosted model environments
Responsibilities
Build reinforcement learning and agent environments for real-world AI use cases; Develop benchmarks and evaluation harnesses to assess model and data quality; Design and implement LLM pipelines and agentic systems; Conduct fine-tuning and model experiments; Deploy local and self-hosted models for evaluation and automation; Document experiments and methodologies for reproducibility
Seniority
Mid-Senior, hands-on IC
