Applied Scientist

. Architect and implement multi-agent systems integrating foundational LLMs and custom-trained models .

Posted 10/15/2026full-timeUnited StatesMid-LevelSenior💰 $150,000 - $275,000 per yearWebsite

Tools & technologies

Distributed SystemsMicroservicesPythonPyTorchTensorflow

Key responsibilities & impact

Architect and implement multi-agent systems integrating foundational LLMs and custom-trained models
Build and optimize AI/ML pipelines through model fine-tuning, prompt engineering, and evaluation frameworks
Build explainability and traceability mechanisms for compliance flags
Automate translation of compliance rules into agent-ready logic paths
Design, train, and fine-tune models using user feedback and outcomes data
Design model evaluation and monitoring infrastructure for reliable, auditable customer deployments
Collaborate with product engineers to integrate AI features through APIs, data pipelines, and frontend systems
Partner with model training engineers to incorporate feedback loops
Collaborate with compliance users to translate complex rules into agent workflows
Prototype and apply new AI/ML techniques
Work closely with AI and engineering leadership, product engineers, and implementation managers

What you’ll need

5+ years of applied ML/AI engineering experience
Strong knowledge of agent-based architectures and orchestration frameworks
Strong Python
Proficiency with modern software engineering practices, including APIs, microservices, and distributed systems
Experience with PyTorch, TensorFlow, and Hugging Face
LLM experience including fine-tuning, prompt engineering, RAG, and evaluation
Background in data preprocessing, feature engineering, and training pipelines
Production ML experience including model serving, monitoring, A/B testing, and data pipelines
Strong communication skills and ability to work cross-functionally
Based in the Bay Area or New York and willing to come into the office 2–3 days a week
For US-based roles, authorization to work for any employer; visa sponsorship is unavailable

Comp & perks