Member of Technical Staff
Build and evolve the agent harness powering Perplexity’s flagship answer experience, improving orchestration, context management, performance, reliability, observability, and evaluation. The role requires strong software engineering skills, Python proficiency, and experience shipping large-scale AI systems.
About the job
Responsibilities
- Evolve the core agent harness powering the flagship answer experience.
- Apply single-agent and multi-agent engineering paradigms to build agent systems for knowledge accumulation and question answering.
- Translate user needs and quantitative insights into improvements in agent orchestration, context management, performance, and reliability.
- Build observability and rigorous evaluation systems for reliable agents at global scale.
- Improve developer experience so failures are easy to reproduce and fix autonomously.
- Support training and evaluation of new models through production feedback loops.
Requirements
- 2+ years building and shipping large-scale AI systems and services with high reliability, availability, and performance.
- Strong software engineering practices, with attention to developer experience and future-proof system design.
- Proficiency with Python.
- Bachelor's, master's, or doctoral degree in Computer Science, Engineering, or a related field, or equivalent experience.
Nice-to-haves
- Rust experience.
- Cloud infrastructure experience, including AWS and Kubernetes.
Skills
Python, Rust, AWS, Kubernetes, Ai Systems, Agent Orchestration, Context Management, Observability, Model Evaluation, Cloud Infrastructure
Similar jobs
AI Research jobs
Fireworks AI
San Mateo, CAConduct foundational research on LLMs and multimodal systems, designing architectures and training methods and helping move prototypes into production. The role targets PhD researchers graduating by December 2026 with strong machine-learning research and programming experience.
OpenAI
San Francisco, CA
Researcher developing and publishing mechanistic interpretability techniques, building infrastructure to study model internals, and guiding alignment-focused research. Requires research experience in machine learning or a related field, strong engineering skills, and proficiency in Python or similar languages.
Applied Intuition
Sunnyvale, CA
Research Engineer developing and deploying machine-learning algorithms for autonomous driving and robotics systems. The role targets recent MS or PhD graduates with experience in areas such as foundation models, diffusion policies, reinforcement learning, computer vision, and robotics.
GrayMatter Robotics
Los Angeles, CA
Conduct research and develop foundation models for robotic manipulation and high-precision manufacturing, taking projects from data curation through deployment on industrial robots. The role requires current PhD study, strong Python and deep learning expertise, robotics simulation experience, and research in foundation models.
OnePay
United States
AI Research Intern researching agentic AI applications for customer-facing products and developing working prototypes. The role requires current pursuit of a technical bachelor's degree, prior software engineering or substantial project experience, and interest in LLMs or generative AI.