Senior AI Engineer

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