Senior AI Engineer (LLM & Agent Systems) — Platform

Core Ownership Areas

• Develop reusable agent-based workflows to accelerate delivery across multiple projects.
  

• Define and maintain evaluation standards to ensure consistent model performance over time.
  

• Improve system reliability across key dimensions such as accuracy latency and robustness.
  

• Build shared APIs and platform components used broadly across engineering teams.
  

Key Responsibilities

• Design and implement orchestration patterns for LLM-powered agents.
  

• Evaluate and select models tools and providers based on performance cost and reliability.
  

• Build testing frameworks evaluation pipelines and monitoring systems for AI outputs.
  

• Implement safeguards fallback mechanisms and cost optimization strategies.
  

• Collaborate with platform and backend engineers to integrate AI capabilities into scalable services.
  

• Identify repeatable patterns across projects and convert them into reusable platform features.
  

Required Experience

• Strong background in building production-grade distributed systems or platform infrastructure.
  

• Practical experience developing and deploying LLM-based or agent-driven systems.
  

• Demonstrated ability to design for reliability observability and cost efficiency.
  

• High standards for code quality and system design.
  

Nice-to-Have Experience

• Familiarity with retrieval systems embeddings or context management pipelines.
  

• Experience working within regulated or security-conscious environments.
  

Approach to Work

• Prioritizes measurable quality through structured evaluation and testing.
  

• Designs systems for reuse scalability and clean abstraction layers.
  

• Focuses on building solutions that generalize beyond a single use case or team.