AI Engineer - P

The Impact of an AI Engineer at Coupa:

We are seeking a hands-on Agentic AI Developer / AI Engineer to design, build, and deploy generative AI solutions leveraging Google Cloud's AI ecosystem. This role is a core part of our AI Delivery "Build" team, responsible for translating business challenges into production-ready AI agents and solutions using Google ADK (Agent Developer Kit), Vertex AI, and related Google Cloud services that create measurable business value.

This position combines deep technical expertise with practical execution on Google's AI platform, ensuring that our agentic AI solutions are well-designed, robustly built, and successfully deployed. The Agentic AI Developer will partner closely with business stakeholders, QA Specialists, and Cloud Engineers to build, test, and scale responsible AI solutions from concept to production within the Google Cloud environment.

What You'll Do:

• Design & Build with Google ADK: Design, develop, test, and deploy autonomous and semi-autonomous AI agents using Google ADK, Vertex AI Agent Builder, and agentic patterns to address key business challenges.
• Vertex AI Implementation: Leverage Vertex AI capabilities including model training, fine-tuning, vector search, and orchestration to build production-grade AI solutions that integrate seamlessly with enterprise systems.
• End-to-End Development: Own the end-to-end technical lifecycle of AI projects on Google Cloud Platform, from initial proof-of-concept and prototyping through to production deployment using Vertex AI Pipelines, monitoring with Vertex AI Model Monitoring, and continuous iteration.
• Google Cloud Integration: Build integrations between AI agents and Google Cloud services including BigQuery, Cloud Functions, Cloud Run, Pub/Sub, and enterprise data sources to enable intelligent automation across the organization.
• Cross-Functional Collaboration: Partner with business stakeholders to understand requirements and collaborate closely with QA Specialists and Cloud Engineers to ensure solutions are reliable, scalable, and seamlessly integrated within GCP infrastructure.
• Responsible AI Implementation: Implement, test, and monitor safeguards for AI agents using Vertex AI's responsible AI tools to mitigate risks, including bias detection, model explanability, compliance monitoring, and operational limits. Ensure solutions are fair, explainable, and robust.
• Agentic Architecture with ADK: Contribute to the architecture and selection of frameworks, tools, and orchestration logic using Google ADK and Vertex AI to build, manage, and scale multi-agent systems effectively.
• Iterate & Improve: Monitor agent performance in production using Vertex AI monitoring tools, gather feedback, and iteratively improve models, prompts, grounding strategies, and agent logic to drive successful adoption and business impact.

What You Will Bring to Coupa:

• Proven experience (3-5+ years) in software engineering, data science, or AI/ML solution delivery with demonstrated Google Cloud Platform expertise.
• Hands-on experience with Google Vertex AI, including model deployment, endpoint management, and AI agent development.
• Strong knowledge of AI/ML fundamentals, agentic AI patterns (e.g., ReAct, planning, tool use, function calling), and experience with Google ADK or Vertex AI Agent Builder.
• Proficiency in Python and Google Cloud AI/ML libraries including Google ADK, Vertex AI SDK, and common data science libraries (e.g., pandas, scikit-learn, TensorFlow/JAX).
• Experience with Google Cloud Platform services (Vertex AI, BigQuery, Cloud Functions, Cloud Run, Pub/Sub) and MLOps principles including Vertex AI Pipelines and CI/CD.
• Demonstrated success in building and deploying AI/ML models and solutions into production on cloud platforms.
• Demonstrated experience in a forward deployed role where you owned the business outcome, not just the ticket.
• Comfort operating in ambiguity. You can walk into an undefined business problem, scope it with the people who own it, and ship something useful within weeks.
• Experience integrating AI or automation into enterprise SaaS platforms (ERP, CRM, HRIS, procurement, ITSM) through REST APIs, webhooks, event streams, or middleware.
• Strong written communication. You can explain a cost and accuracy tradeoff to a CFO and a stack trace to an engineer on the same afternoon.
• Working knowledge of at least one non-Google model provider and its tooling (e.g., Anthropic Claude, OpenAI), including function calling and tool use across providers.
• Proven ability to communicate complex technical concepts to both technical and non-technical stakeholders.
• Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent practical experience.

Preferred:

• Experience with Vertex AI features including vector search (Matching Engine), model monitoring, custom training, and model tuning.
• Hands-on experience with Gemini API, embeddings, and retrieval-augmented generation (RAG) patterns on Google Cloud.
• Experience with containerization (Cloud Run, GKE) and serverless architectures for scaling AI applications.
• Familiarity with Google Cloud security best practices, IAM, and data governance frameworks.
• Hands-on experience with responsible AI practices using Vertex AI Explainable AI, Model Monitoring, and bias detection tools.
• Experience with LLM frameworks (ie Crew, ADK, LangChain, LangGraph) integrated with Google Cloud services.
• Hands-on experience with Anthropic Claude and the Model Context Protocol (MCP), including building custom MCP servers, connectors, and agent skills.