Applied AI Engineer - MultiStep Agents & Retrieval (Hybrid)

raydar

San Diego (CA)

Hybrid

USD 160,000 - 250,000

Full time

3 days ago

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Job summary

raydar is seeking an Applied AI Engineer in San Diego to design and build the AI layer of a software product. You will implement multi-step agent workflows, connect language models to external functions and data sources, and work closely with frontend and backend teams to embed AI features into daily product workflows.

The role emphasizes reliability, testing harnesses, and thoughtful trade-offs between model capability, latency, and system robustness.

Qualifications

Hands-on record of deploying language-model agents to live users, including function calling, stateful context and self-directed planning.
Proven ability to raise the output quality of AI features through systematic scoring and testing.
Experience leading multi-quarter technical projects from design through delivery.

Responsibilities

Build multi-step agent workflows that track state, propose actions and carry tasks through to completion.
Link language models to external functions, stored context and lookup layers across mixed data sources.
Safeguard sensitive information and design fallback behavior for failed tools and unreliable outputs.
Set up test harnesses that score generative features and feed results back into iteration.
Tune AI interactions for speed, clarity and user control.
Collaborate with frontend and backend engineers to embed AI features into product workflows.
Weigh trade-offs between model capability, latency and reliability.