Pathway

www.pathway.com

1 Job

53 Employees

About the Company

Pathway is building Live AI(tm) systems that think and learn in real time as humans do. Our mission is to deeply understand how and why LLMs work, fundamentally changing the way models think.

Listed Jobs

Company Name: Pathway
Job Title: R&D AI Software Engineer/End-to-End Machine Learning Engineer/RAG and LLM
Job Description: **Job Title** R&D AI Software Engineer / End-to-End Machine Learning Engineer (RAG & LLM) **Role Summary** Design, prototype, and productionize end‑to‑end ML pipelines that process enterprise data streams and enhance large language model performance. Lead experimentation, benchmark development, and continuous integration for high‑quality AI solutions. **Expactations** - Deliver functional ML/AI pipelines within defined timelines. - Maintain code quality, documentation, and test coverage. - Collaborate with cross‑functional teams to translate client requirements into scalable solutions. - Stay current with research and emerging AI technologies. **Key Responsibilities** - Engineer experimental and production ML/AI pipelines from data ingestion to inference. - Prototype hybrid vector/graph indices to outperform RAG benchmarks. - Pre‑process and augment datasets to boost LLM accuracy and training efficiency. - Design benchmarks, run experiments, and analyze results. - Implement unit tests, model monitoring, and CI/CD pipelines. - Contribute production‑ready code to shared developer frameworks. - Iterate on model parameters, reranking strategies, and performance tuning. - Support client deployments involving live data streams. **Required Skills** - Strong software engineering fundamentals (Python, Git, build systems, CI/CD). - Hands‑on experience with ML/DL frameworks (PyTorch/TensorFlow). - Proficiency in data manipulation, feature engineering, and pipeline orchestration. - Familiarity with vector search, graph indexing, and RAG architectures. - Experience in model monitoring, logging, and performance evaluation. - Ability to write clean, maintainable, and testable code. - Curiosity for new AI research, arXiv, and industry developments. - Excellent communication and teamwork. **Required Education & Certifications** - Bachelor’s degree (minimum 4 years) in Computer Science or related field with strong performance in algorithms, graph theory, and machine learning. - Advanced coursework or experience in computational complexity, data structures, and ML theory is preferred. - Certifications in cloud ML services or relevant AI platforms are a plus.

Palo alto, United states

On site

30-01-2026