Senior Applied AI Engineer
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About the Role
Join an AI-powered engineering software company to build agentic workflows and AI integrations for engineering applications. You will shape the architecture of LLM-based systems, applying computer science, machine learning, and current AI techniques to practical products.
What You'll Do- Design and build scalable AI agents, LLM workflows, and deep integrations.
- Evaluate and select approaches for agent orchestration, retrieval-augmented generation, and other AI capabilities.
- Develop and improve information processing, indexing, and search systems.
- Apply supervised and unsupervised optimization, model post-training, and evaluation methods to production use cases.
- Typically 2 or more years of relevant experience, with substantial depth in applied AI for senior-level work.
- Strong software engineering and computer science fundamentals, including experience with distributed systems and large-scale information processing.
- Experience with semantic and quantitative indexing and search, and supervised and unsupervised optimization approaches.
- AI, machine learning, or LLM research experience or education, including familiarity with fine-tuning or post-training specialized models.
- Experience with Python, PyTorch, agent SDKs, and evaluation or observability tools such as LangSmith, Braintrust, or Weights & Biases.
- A consistent work history, with fewer than four tenures under one year among the last four roles.
Annual salary range: $220,000 to $320,000 USD. Visa sponsorship is not available.
LocationThis is an on-site role in Los Angeles, California, United States.