LLM Application Engineer, Artificial Intelligence, Remote

This is a fully remote position, open to applicants in California.

📋 Description

• Develop and deploy applications powered by LLMs and automate AI agent workflows.

• Design systems focused on reasoning, planning, memory utilization, tool usage, and multi-step execution.

• Create dependable orchestration pipelines that convert probabilistic model outputs into predictable, observable, and safe actions.

• Integrate Large Language Models (LLMs) with APIs, databases, search engines, internal services, and external tools.

• Enhance model performance through prompting, context engineering, structured outputs, tool invocation, and other methodologies.

• Construct evaluation frameworks and datasets to assess AI quality, reliability, and regressions.

• Troubleshoot AI systems across the entire stack, from model behavior and prompts to orchestration, backend services, and user experience.

• Optimize AI systems for quality, latency, and cost efficiency.

• Collaborate closely with product and engineering teams to transform vague product challenges into effective AI solutions.

• Implement production practices for observability, tracing, experimentation, evaluation, and ongoing enhancement.

⛳️ Requirements

• Proven experience in Artificial Intelligence (AI) is mandatory.

• Strong foundational knowledge in software engineering with a track record of developing AI-driven applications.

• Practical experience with Large Language Models (LLMs), generative AI, or agent-based systems.

• Background in designing prompts, workflows, evaluations, or AI behaviors.

• Proficient in writing clean, production-level code.

• Comfortable navigating through abstraction layers from model to system to product.

• Excellent problem-solving capabilities in fast-paced and ambiguous settings.

• A proactive approach towards shipping, iteration, and continuous refinement.

• Proficiency in Python.

• Familiarity with LLM APIs and model providers, including OpenAI-compatible APIs and open-weight models.

• Experience with agent frameworks and orchestration systems.

• Knowledge of vector databases and retrieval systems.

• Exposure to backend services, APIs, and distributed systems.

• Experience with PyTorch or JAX.

🏝️ Benefits

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Savings Plan Options.

• Paid Time Off (PTO).