Senior Applied AI Engineer

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 Youll 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.

What Were Looking For

• 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.

Compensation & Benefits

Annual salary range: $220000 to $320000 USD. Visa sponsorship is not available.

Location

This is an on-site role in Los Angeles California United States.