Gradial
AppliedAIEngineer
“Applied AI Engineer at Gradial. Skills: Applied AI, Agentic systems, LLMs, Production AI integration. Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations. Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems”
What You'll Achieve.
automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint; design agents that reason, interact with environments and evolve through feedback; align AI behaviors with user expectations
Industry & Context.
solve hard problems; ambiguous problems
What They're Looking For.
Must Have
4+ years of software engineering experience, at least a year working directly on AI/ML-powered applications, fluency in AI tooling (e. g. OpenAI APIs, Anthropic APIs), Practical understanding of LLMs, prompt engineering and agentic architectures, Experience building production systems that integrate external environments - code execution, browser automation or 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
What You'll Do.
Build autonomous and semi-autonomous agent workflows that interact with browsers
and APIs to complete complex content operations
Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems
Design modular frameworks for tools
and evaluators to enable continuous learning and improvement of agents
Develop data pipelines to collect
and annotate real-world usage data for SFT and RL training
Design and build proprietary agent libraries
prompting strategies and benchmarking frameworks
How You'll Work.
Team & Collaboration
collaborate across product, research, and engineering; Partner with customers and internal stakeholders
Applying for this Applied AI Engineer role?
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