Staff Applied AI Agent Developer

• Partner directly with select, strategic customers to understand their business challenges. Design, co-develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
• Act as a high-level problem solver, empowered to write bespoke code, develop custom tooling, and even contribute directly to the core product codebase to resolve critical customer issues.
• Systematize your learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices that can be used across the organization.
• Serve as a critical feedback loop to our core Product and Development teams. Synthesize insights from the field to influence product strategy, identify feature gaps.
• Act as a subject matter expert, providing technical guidance and best practices to customers on agent improvement, performance tuning, CI/CD pipelines, and production readiness.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• Experience with core GenAI concepts (e.g., Large Language Model (LLM), multi-modal, large vision models) and experience with text, image, video, or audio generation.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.
• Experience in prompt development, model evaluation, and the creative application of Artificial Intelligence (AI).
• Ability to be flexible and resilient in dynamic environments where priorities often shift and to take ownership and respond to urgent business or customer issues.

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience with one or more of the following: speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
• Experience with core GenAI concepts (e.g., Large Language Model (LLM), multi-modal, large vision models) and experience with text, image, video, or audio generation.