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