Fieldguide

Senior AI Engineer

Fieldguide

full-time

Posted on:

Origin:  • 🇺🇸 United States • California

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Salary

💰 $160,000 - $210,000 per year

Job Level

Senior

Tech Stack

AWSCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesMicroservicesPythonReactTypeScript

About the role

  • Architect and implement end-to-end solutions that embed large language models into core product
  • Design retrieval-augmented generation workflows and implement RAG pipelines to ground LLMs in domain-specific data
  • Integrate and optimize vector databases or embedding stores
  • Prototype prompts and integrations, implement backend deployment and monitoring for ML features
  • Ensure AI outputs are accurate, safe, and useful; blend model outputs with deterministic logic
  • Design infrastructure to support AI features at scale; collaborate with infra/DevOps on microservices, job queues, caching, and monitoring
  • Define measurable success criteria and build evaluation pipelines including automated tests and human-in-the-loop reviews
  • Partner with Product, Design, and domain experts; mentor engineers and lead internal knowledge sharing

Requirements

  • 5+ years of software engineering experience, including 1+ year building AI/ML-powered features in production
  • Strong coding ability in backend languages (Python preferred) and experience with system design for cloud-based services
  • Hands-on experience integrating LLM APIs or open-source NLP models into live applications
  • Solid understanding of distributed systems, API design, and asynchronous programming
  • Familiarity with cloud platforms (AWS or GCP), containers (Docker), and orchestration (Kubernetes)
  • Practical experience with retrieval-augmented generation, embeddings, and vector databases
  • Ability to define and monitor evaluation metrics for AI outputs