Applied AI Engineer: Agentic Systems & RL

Gradial; Seattle (WA); On-site; USD 130,000 - 220,000; Full time

Benefits offered by this job

Performance-based bonus

Equity awards

Medical, dental & vision insurance

401k retirement plan

Unlimited PTO

Seattle office with gym

Job summary

Gradial seeks an Applied AI Engineer to build next-generation agentic systems. You will combine software engineering with practical AI applications to solve real user problems, collaborating with product, research, and engineering teams to design agents that reason, interact, and learn from feedback in production environments.

Ideal candidates have 4+ years in software engineering, hands-on experience with LLMs, and a strong ownership mindset in fast-paced environments.

Qualifications

• 4+ years of software engineering experience, with direct AI/ML-powered application work.
• Strong fluency in AI tooling, including OpenAI APIs and Anthropic APIs.
• Practical understanding of LLMs, prompt engineering, and agentic architectures.
• High ownership and comfort working in fast-moving, experimental environments.

Responsibilities

• Evaluate model behavior in live environments and pioneer RL approaches for end-to-end agent systems.
• Design modular frameworks for tools, memory, and evaluators to enable continuous learning of agents.
• 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 understand edge cases and align AI behaviors with user expectations.

Job description

Gradial seeks an Applied AI Engineer to build next-generation agentic systems. You will combine software engineering with practical AI applications to solve real user problems, collaborating with product, research, and engineering teams to design agents that reason, interact, and learn from feedback in production environments.

Ideal candidates have 4+ years in software engineering, hands-on experience with LLMs, and a strong ownership mindset in fast-paced environments.