Partner with customers to design, co-develop, debug, and deploy Artificial Intelligence (AI) agents and solutions.
Act as a problem solver, empowered to write codes, develop custom tooling, and contribute to the core product codebase.
Systematize learnings from customer engagements while working with AI team members to create reusable tools, documentation, and accelerators.
Serve as a feedback loop to core Product and Engineering teams, synthesizing field insights to influence strategy.
Provide technical guidance on agent improvement, performance tuning, Continuous Integration/Continuous Deployment (CI/CD) pipelines, and production readiness.
Minimum qualifications:
Bachelor’s degree or equivalent practical experience.
5 years of experience in software development.
5 years of experience with testing or launching software products.
5 years of experience with speech/audio, reinforcement learning, or Machine Learning (ML) infrastructure.
3 years of experience with software design/architecture.
Experience with Generative AI (GenAI) concepts (e.g., Large Language Model (LLM), multi-modal, large vision models).
Preferred qualifications:
Master’s degree or PhD in Engineering or Computer Science.
3 years of experience in technical leadership with leading project teams.
Experience in Vertex AI, BigQuery, Cloud Storage, and Dialogflow.