Python Full Stack Engineer

• Build multi-agent systems and stateful workflows using Google ADK, LangChain, or LangGraph.
• Design and maintain secure Python APIs optimized for agent consumption and tool execution.
• Craft system instructions, design context window strategies, and manage persistent memory across workflows.
• Enforce deterministic LLM outputs using JSON schemas and Pydantic validation.
• Implement dynamic fallback logic, circuit breakers, and hallucination control mechanisms.
• Establish evals-as-code frameworks, automated prompt testing, and end-to-end tracing for agent reasoning.

We are seeking a strong Python Full Stack Engineer with a solid background in cloud architecture to design and build production-grade Agentic AI systems. In this role, you will develop multi-agent workflows, implement robust system guardrails, integrate complex tool APIs, and manage observability for generative AI solutions on Google Cloud Platform., * Strong hands-on background in building Python-based APIs, microservices, and high-availability system designs.

• Hands-on experience integrating major LLM APIs (Gemini, OpenAI, Anthropic Claude) and orchestration frameworks.
• Solid understanding of Google Cloud Platform (GCP) services and infrastructure.
• Google Professional Cloud Architect certification is required.
• Proficient with containerization (Docker), cloud deployment patterns, and CI/CD pipelines.
• Comprehensive testing mindset, including unit and integration testing tailored to probabilistic AI systems.
• Strong grasp of async events, decision trees, and robust state-handling strategies.

Preferred Qualifications

• Advanced degree (PhD) in Machine Learning, Computer Science, or a related quantitative field.
• Experience with foundational model pre-training or GPU cluster management.
• Advanced background in calculus-heavy algorithm design and mathematical modelling.