Senior AI Engineer (Python & GCP)

Responsibilities

• Design and develop multi-agent AI systems and stateful workflows using Google ADK, LangChain, and LangGraph.
• Build secure Python APIs, tool integrations, and Back End services that enable AI agents to interact with business systems.
• Develop prompt engineering strategies, memory management, context handling, and structured LLM outputs using Pydantic and JSON schemas.
• Implement AI reliability practices including guardrails, fallback mechanisms, evaluation frameworks, and observability.
• Deploy and support cloud-native solutions using Google Cloud, containers, and CI/CD pipelines.

About You

• Strong experience as a Senior AI Engineer, Python Engineer, or Backend Engineer with expertise in APIs, microservices, and system design.
• Hands-on experience working with LLM APIs (Gemini, OpenAI, Claude) and AI orchestration frameworks.
• Strong understanding of Google Cloud Platform (GCP) with a Google Professional Cloud Architect certification (mandatory).
• Experience with Docker, cloud deployments, CI/CD, and building reliable production systems.
• A strong engineering mindset with experience in testing, asynchronous workflows, system design, and solving complex technical challenges.

This Senior AI Engineer (Python & GCP) role is ideal for an experienced software engineer who wants to work at the intersection of cloud engineering, Python development, and Generative AI, without requiring a research or machine learning background.

If you're an experienced Senior AI Engineer (Python & GCP) looking to build cutting-edge Agentic AI solutions, we'd love to hear from you. Apply today to find out more.