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We are looking for a Lead Python Engineer to drive the evolution of an internal reporting platform into an AI-powered, interactive intelligence layer. The role will focus on leading the design and delivery of backend services and agentic workflows — utilizing the Gemini Enterprise Agent Engine — that enable natural language querying, automated dashboard and report generation, and secure data extraction, delivering fast, explainable insights to business users without technical expertise.
The ideal candidate combines strong Python engineering leadership with hands-on experience in cloud-native development on Google Cloud Platform (GCP), and a strong curiosity for modern AI and agentic development patterns. Experience with agentic AI tools is a strong advantage, but a willingness and ability to learn, adopt, and master the Google Agent Development Kit (ADK) and the Gemini Enterprise Agent ecosystem is essential.
- Lead the design and implementation of scalable, maintainable Python backend services and intelligent agents using the Google Agent Development Kit (ADK), supporting NLQ, report generation, data extracts, and AI-driven workflows
- Define the technical vision and architecture for agent-based systems powered by the Gemini Enterprise Agent Engine, including agent-to-agent communication, orchestration logic, and interaction with LLMs and data services
- Guide deployment, operation, and optimization of services using Google Cloud technologies such as Cloud Run, GKE, BigQuery, Pub/Sub, and IAM
- Oversee the management and optimization of agent workloads deployed on the Gemini Enterprise Agent Runtime, utilizing both Session and Memory services to ensure stateful continuity, performance, security, and cost efficiency
- Mentor and coach engineers, conducting code reviews, sharing best practices, and fostering a culture of technical excellence
- Collaborate closely with data, AI, and product teams to translate business use cases into technical solutions and roadmaps
- Drive the adoption of new AI tooling, including Google ADK and Gemini Enterprise runtime components, and establish engineering standards across the team
- Own end-to-end delivery, from architectural decisions and estimation to production rollout and post-launch optimization
- 5+ years of experience building production-grade Python applications, including APIs, data processing, and backend services, with a proven track record in a technical leadership role
- Proficiency in developing Python agents using the Google Agent Development Kit (ADK)
- Hands-on experience with core GCP services such as BigQuery, Cloud Run/GKE, and IAM/Cloud Storage in real production environments
- Exposure to or strong readiness to deploy workloads on the Gemini Enterprise Agent Runtime
- Skills in integrating multiple data sources, APIs, and services securely, with attention to access entitlements and governance
- Expertise in the orchestration of agent architectures utilizing Session and Memory services
- Competency in mentoring engineers, leading technical discussions, and driving architectural decisions across cross-functional teams
- Capability to master new AI frameworks and development kits, specifically Google ADK and the Gemini Enterprise Agent Engine
- Flexibility to work in a fast-evolving AI and agentic development landscape
- Proficiency in English at an Upper-Intermediate level (B2) or higher
- Proven experience transitioning agentic workloads from PoC to production, with a strong focus on establishing evaluation frameworks, defining key performance metrics, and ensuring reliable, consistent model behavior in live environments
- Familiarity with agentic AI frameworks, orchestration tools, or multi-agent systems
- Exposure to LLMs, NLQ, or conversational AI use cases
- Knowledge of data analytics, reporting, or BI platforms