Applied AI Engineer

Responsibilities

• Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs
• Evaluate model behavior in live environments and pioneer reinforcement learning approaches for agent systems
• Design modular frameworks for tools, memory, and evaluators
• Develop data pipelines to collect, transform, and annotate 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
• 1+ year working directly on AI/ML-powered applications
• Strong fluency in AI tooling such as OpenAI and Anthropic APIs
• Practical understanding of LLMs, prompt engineering, and agentic architectures
• Experience building production systems integrating external environments like code execution or browser automation
• High degree of ownership and comfort in experimental environments

Preferred Qualifications

• Familiarity with benchmarks like SWE-bench
• Experience with evaluation strategies for tool-using agents
• Exposure to customer-facing roles or user research
• Background in reinforcement learning or data-centric AI approaches

Benefits

• Meaningful equity and competitive salary
• Comprehensive health, dental, and vision coverage
• 401K retirement plan
• Paid time off and paid sick leave
• Autonomy and ownership in a fast-paced environment

About the Company

Gradial helps marketers and creatives move from idea to execution faster by building software that automates website updates, design system migrations, and content optimization through agentic AI systems.