AI Innovation Engineer (GenAI & Agent Development)OverviewWe 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 RoleWithin 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.
