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Googlevia Indeed
Senior Forward Deployed Engineer, Cloud Applied AI
KA, INPosted 3mo ago
NLP / LLMSeniorFull-time#llm#nlp#reinforcement-learning#gcp
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About the Role
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.
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.Responsibilities
- 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.
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