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Salary: USD 130,000 - 220,000 / annual
Gradial is a marketing operations platform that uses AI to help marketers and creatives move from idea to execution faster. The company orchestrates across martech stacks, workflows, and people to automate marketing execution and reduce time-to-market.
As an Applied AI Engineer, you will build the next generation of agentic systems that combine deep software engineering with practical AI applications. This role bridges product, research, and engineering to design agents that reason, interact with external environments, and improve through feedback.
Key responsibilities include:
- Building autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations
- Evaluating model behavior in live environments and pioneering reinforcement learning approaches for end-to-end agent systems
- Designing modular frameworks for tools, memory, and evaluators to enable continuous learning and agent improvement
- Developing data pipelines to collect, transform, and annotate real-world usage data for supervised fine-tuning and reinforcement learning
- Creating proprietary agent libraries, prompting strategies, and benchmarking frameworks
- Partnering with customers and internal stakeholders to understand edge cases and align AI behaviors with user expectations
Required qualifications:
- 4+ years of software engineering experience with at least 1 year working directly on AI/ML-powered applications
- Strong fluency in AI tooling (OpenAI APIs, Anthropic APIs, etc.)
- Practical understanding of LLMs, prompt engineering, and agentic architectures
- Experience building production systems that integrate external environments (code execution, browser automation, API orchestration)
- High degree of ownership and comfort in experimental, fast-moving environments
Nice-to-have skills include familiarity with benchmarks like SWE-bench, evaluation strategies for tool-using agents, customer-facing experience, and background in reinforcement learning or data-centric AI approaches.
Gradial is Series B-backed and operates with urgency and ownership, solving hard problems from first principles. The company values ambitious work, real responsibility, and defining the future of AI-native content operations.
