AI Innovation Engineer (GenAI & Agent Development)

Overview

We are seeking an AI Innovation Engineer to join a newly formed innovation-focused team responsible for rapidly exploring, prototyping, and validating cutting-edge AI solutions. This individual will work closely with leadership to investigate emerging technologies, develop proof-of-concepts, and build AI-powered applications that help solve high-impact business problems.

This is an ideal opportunity for a highly motivated builder who enjoys working in fast-moving environments, learning new technologies quickly, and turning ideas into working solutions.

Responsibilities

• Design, develop, and deploy proof-of-concept AI applications and intelligent agents.
• Build Agentic AI solutions using modern LLM frameworks and Google's AI ecosystem.
• Develop and test AI agents utilizing Agent Development Kit (ADK) and related technologies.
• Create prototypes that demonstrate business value and accelerate innovation initiatives.
• Work with structured and unstructured data sources, including BigQuery datasets.
• Experiment with emerging Generative AI technologies and evaluate new tools and frameworks.
• Collaborate with business and technical stakeholders to identify opportunities for AI-driven solutions.
• Quickly learn new technologies and independently drive projects from concept to prototype.
• Document findings, recommendations, and technical approaches for future production development.

Required Qualifications

• 3+ years of software engineering, AI engineering, or machine learning experience.
• Hands-on experience developing Generative AI applications.
• Strong understanding of Large Language Models (LLMs), prompt engineering, and agent-based architectures.
• Experience developing software applications using Python.
• Experience with Google Cloud Platform (GCP).
• Experience working with BigQuery and cloud-based data environments.
• Ability to rapidly prototype and iterate on new ideas.
• Strong problem-solving skills and ability to work independently.

Preferred Qualifications

• Experience with Google's Agent Development Kit (ADK).
• Experience with Vertex AI and Gemini models.
• Experience building AI agents and multi-agent workflows.
• Experience with Retrieval-Augmented Generation (RAG).
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Experience evaluating and optimizing LLM performance.
• Exposure to MLOps and cloud deployment best practices.

What We're Looking For

• Builder mentality with a passion for innovation.
• Highly curious and eager to learn emerging technologies.
• Comfortable operating with ambiguity and limited direction.
• Ability to move quickly and deliver working solutions.
• Strong ownership mindset and willingness to tackle difficult problems.
• Collaborative team player who enjoys experimenting with new ideas and technologies.

Success in This Role

Within the first few months, this individual will be building AI-powered proof-of-concepts, developing intelligent agents, leveraging GCP and BigQuery data assets, and helping shape the future direction of AI innovation initiatives across the organization.