AI Engineer

Company Description

Aviato Consulting, founded by ex-Googlers, specializes in high-end Google Cloud solutions. We combine deep technical expertise with the open, fun engineering culture of Google—minus the bureaucracy. We are proud winners of the Best Place to Work awards in 2025 and 2026.

What’s in it for you?

• Build the "Next" AI: Move beyond simple chatbots and RAG. You will be building autonomous agents that plan, reason, and execute actions—the cutting edge of the industry.
• Elite Engineering Culture: Work alongside ex-Googlers and cloud experts. We prioritize clean code, high-velocity shipping, and technical excellence over politics.
• Pure GCP Playground: You get full access to the Vertex AI ecosystem (Gemini 1.5 Pro/Flash, Vector Search, Agent Engine) to build enterprise-grade solutions.
• Verified Happiness: Join a team objectively recognized as a "Best Place to Work" for two years running. We take culture as seriously as we take our architecture.
• ESOP: Share in our success with our employee option plan

Role Description

We are looking for an AI Engineer to architect the next generation of autonomous systems on the Google Cloud Platform (GCP). You will design, develop, and deploy robust AI agents that leverage the Vertex AI ecosystem to automate critical business processes. This is a hands-on engineering role focused on productionizing agentic workflows.

Key Responsibilities

• Agentic Architecture: Design scalable, event-driven architectures for single and multi-agent systems using Google’s Gemini models.
• Advanced Reasoning: Implement sophisticated prompting strategies (ReAct, Chain of Thought) and evaluation frameworks to ensure agent reliability.
• Tooling & Integration: Equip agents with executable tools by integrating internal databases (BigQuery, Cloud SQL) and APIs via Apigee or Cloud Functions.
• Data Grounding: Engineer advanced RAG pipelines using Vertex AI Search and Vector Search to provide agents with real-time, factual context.
• Orchestration: Manage agent state, planning, and task execution using frameworks like A2A or MCP.
• Production Deployment: Containerize and deploy agentic applications as scalable microservices using Agent Engine or Cloud Run.

Minimum Qualifications

• Strong proficiency in Python for software engineering.
• Hands-on experience building and deploying applications on Google Cloud Platform (GCP).
• Proven experience building applications using LLMs (Gemini, GPT, Claude) beyond simple API calls.
• Familiarity with agentic concepts and frameworks (e.g., LangChain, LlamaIndex, A2A).
• Production engineering experience: CI/CD, Git, and automated testing.

Preferred Qualifications

• Master's or PhD in Computer Science or AI/ML.
• Deep expertise in the Vertex AI ecosystem (Pipelines, Endpoints, Search, and Model Tuning).
• Experience with container orchestration (Agent Engine) and serverless compute (Cloud Run).
• Understanding of event-driven architectures (Pub/Sub) and vector database implementation.
• Google Cloud Professional certification (Cloud Architect or Machine Learning Engineer).

Key skills/competency

• AI Engineering
• Google Cloud Platform (GCP)
• Vertex AI
• Large Language Models (LLMs)
• Autonomous Agents
• Python
• Agentic Architectures
• Data Grounding (RAG)
• Microservices
• CI/CD