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This listing was closed on Aug 19, 2026.
Browse Open JobsApplied AI Engineer
Summary by AIEngineer.careers
Applied AI Engineer is a AI Engineer role (full-time). with Gradial. in SEATTLE, US. Compensation shown: $130K–$220K. Imported listing (source: jobs-radar.com). Apply on the employer's site (jobs-radar.com).
Imported listing (source: jobs-radar.com) · Apply on jobs-radar.com
SEATTLE · US
$130K–$220K
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from jobs-radar.com
Gradial helps marketers and creatives move from idea to execution faster. Our platform automates website updates, design system migrations, and content optimization using AI. We're looking for an Applied AI Engineer to build agentic systems that reason, interact with environments, and evolve through feedback.
Responsibilities
- Build autonomous and semi-autonomous agent workflows interacting with browsers, codebases, and APIs
- Evaluate model behavior in live environments and apply reinforcement learning to end-to-end agent systems
- Design modular frameworks for tools, memory, and evaluators for continuous agent improvement
- Develop data pipelines for collecting, transforming, and annotating real-world usage data for SFT and RL training
- Design and build proprietary agent libraries, prompting strategies, and benchmarking frameworks
- Partner with customers and internal stakeholders to align AI behaviors with user expectations
Requirements
- 4+ years of software engineering experience, with at least 1 year on AI/ML-powered applications
- Strong fluency in AI tooling (e.g., OpenAI APIs, Anthropic APIs)
- Practical understanding of LLMs, prompt engineering, and agentic architectures
- Experience building production systems integrating external environments (code execution, browser automation, API orchestration)
- High degree of ownership and comfort in experimental, fast-moving environments
Nice to Have
- Familiarity with benchmarks like SWE-bench or evaluation strategies for tool-using agents
- Exposure to customer-facing roles or user research for AI product development
- Background in reinforcement learning or data-centric AI approaches
Benefits
Health insurancedental insurancevision insurance401kpaid time offEquity / stock options
Tech Stack
PythonLLMOpenAIAnthropicReinforcement LearningAgentic SystemsPrompt Engineering
Gradial
Seattle · US · 87+ employees
Gradial is a company that provides an agentic AI platform designed to streamline and automate end-to-end content supply chains for enterprise marketing teams. It helps organizations manage fragmented workflows, maintain governance, and execute campaigns across channels with improved speed and consistency.
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