Applied AI Engineer
GradialAI Marketing company
Seattle, United States$130,000 – $220,000 annuallySenior
Madrona
VMG Partners
Pruven Capital
General Advance
Outsiders Fund
DLA Piper
Data & AI
About the role
TL;DR
Build next-generation agentic systems using AI and software engineering.
- •Gradial is seeking an Applied AI Engineer to build the next generation of agentic systems.
- •This role blends deep software engineering with practical AI application to solve user problems.
- •You will collaborate across product, research, and engineering to design agents that reason, interact with environments, and evolve through feedback.
- •Key Responsibilities Build autonomous and semi-autonomous agent workflows interacting 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 for continuous agent learning.
- •Develop data pipelines for collecting, transforming, and annotating usage data for SFT and RL training.
- •Design and build proprietary agent libraries, prompting strategies, and benchmarking frameworks.
- •Requirements 4+ years of software engineering experience, with at least 1 year in 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.
Required skills
PythonOpenAI APIAnthropic APILLMs
Nice-to-have skills
LangChain
Domain expertise
martechaiproductivity
Benefits & perks
Performance-based annual bonus, Equity awards, Medical insurance, Dental insurance, Vision insurance, 401k retirement plan, Paid time off, Paid sick leave, Employee wellness programs, Fertility & family-planning support, Unlimited PTO, Gym, Sauna, Bike parking, Free lunch
Tech stack
PythonOpenAI APIAnthropic APILLMs