Senior LLM Agent Researcher – Contract Role

Position Overview

A global research organization is seeking a Senior LLM Agent Researcher (Contractor) to contribute to cutting-edge advancements in large language models and agent-based AI systems.

This role focuses on developing domain-specific foundation models, multi-agent systems, and web-based autonomous agents. The position involves both research and production-oriented development, with applications spanning areas such as digital services, data platforms, infrastructure optimization, and intelligent operations.

The successful candidate will work within a multidisciplinary research team and collaborate with global engineering groups to bring advanced AI systems from concept to deployment.

Key Responsibilities

Foundation Model Development

• Design and develop advanced foundation models tailored to domain-specific applications.
• Focus on architectures such as:
  • Large language models (LLMs)
  • Time-series foundation models
• Optimize models for performance, scalability, and robustness across diverse use cases.

Agent Systems & AI Research

• Develop and evaluate multi-agent and autonomous agent systems.
• Explore architectures for web-based agents and task automation systems.
• Integrate advanced AI techniques into real-world applications.

End-to-End Research & Engineering

• Independently drive the full lifecycle of AI projects, including:
  • Concept design
  • Prototyping
  • Model training
  • Deployment into production environments
• Ensure solutions are scalable and maintainable in high-concurrency systems.

System Optimization & Deployment

• Optimize model performance for both development and production environments.
• Improve system efficiency, scalability, and reliability.
• Debug complex issues in large-scale distributed AI systems.

Collaboration & Innovation

• Collaborate with cross-functional and geographically distributed teams.
• Stay up to date with state-of-the-art research in LLMs, agents, and foundation models.
• Integrate cutting-edge techniques into production systems.

Required Qualifications

• Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
• At least 3 years of experience in large-scale model or algorithm development.
• Strong programming skills in Python with deep experience in PyTorch.
• Experience with distributed training on GPU or accelerator-based clusters.
• Proven experience developing foundation models (LLMs or time-series models).
• Demonstrated ability to take projects from research to production independently.
• Strong analytical and problem-solving skills.

Preferred Qualifications

• Experience training large-scale models (1B–10B parameters or larger).
• Knowledge of alternative model architectures such as state space models (SSMs).
• Experience with multi-agent systems or autonomous AI workflows.
• Domain expertise in areas such as healthcare analytics or performance data systems.
• Publications in top-tier AI conferences or contributions to open-source AI projects.
• Experience working in global or cross-cultural engineering teams.
• Additional language skills are beneficial.

Personal Attributes

• Strong ownership and ability to operate independently in a research-driven environment.
• Ability to bridge theoretical research and production engineering.
• Curiosity and drive to explore emerging AI technologies.
• Effective communication and collaboration skills.
• Adaptability in fast-paced, evolving technical environments.