Role Overview
We are seeking two highly experienced Senior AI Engineers to serve as the technical backbone of our agentic chatbot rollout across four markets. These are deeply hands-on individual contributor roles — you will own solution implementation of AI stack built on Google ADK, Apigee, Model Armor, and SDP. Administrative, coordination, or project management tasks are explicitly out of scope; your mandate is to build, ship, and evolve production AI systems.
Key Responsibilities
• Build and deploy agentic chatbot solutions using Google Agent Development Kit (ADK)
• Design and maintain multi-agent workflows, including agent handoffs, tool chains, memory management, and context optimization
• Lead integrations with enterprise systems, knowledge bases, and APIs
• Optimize LLM inference performance, latency, and scalability
• Produce and maintain technical architecture and design documentation
• Conduct code reviews, mentor engineers, and enforce engineering best practices
• Collaborate with software engineering teams on integration testing and production readiness
Requirements
Required Skills
• Google Agent Development Kit (ADK)
• Google Cloud Platform (GCP) / Vertex AI
• Python (Advanced)
• Multi-Agent Orchestration
• LLM Fine-Tuning & RAG
• Prompt Engineering
• Apigee API Gateway
• Google Model Armor
• Google SDP / DLP API
• REST APIs
• Docker & Kubernetes
• Vector Databases
• CI/CD (Cloud Build)
Qualifications
• 8+ years of Software Engineering / AI Engineering experience
• Minimum 3 years of hands-on experience building production-grade LLM or Conversational AI solutions
• Strong experience with Google Cloud AI ecosystem
• Experience delivering AI solutions in regulated industries such as Banking, Telco, or Healthcare is preferred
• Deep understanding of Responsible AI, Safety Guardrails, Explainability, and Data Privacy
• Proven experience leading end-to-end technical delivery
• Excellent communication and stakeholder management skills