Innovation Engineer exploring AI and emerging technologies to solve business problems. Prototype solutions and drive innovation for operational improvement and product capabilities.
Responsibilities
Deliver a steady cadence of meaningful proof-of-concept implementations exploring how emerging technologies can address specific product or operational challenges.
Evaluate emerging technologies in controlled environments to determine whether they are suitable for eventual integration into the core product.
Identify opportunities that leverage modern technologies (particularly AI) to amplify what we can already do, enabling faster delivery, improved efficiency, and new product possibilities.
Share prototypes, findings, and techniques with the engineering team to encourage experimentation and adoption of useful technologies, helping catalyze innovation across the organization.
Provide periodic insight to engineering leadership on emerging technologies and their implications for product capabilities, engineering workflows, and long-term strategy.
Requirements
Strong hands-on experience applying modern AI technologies such as LLM APIs, RAG, prompt engineering and evaluation, AI workflow orchestration, agent-based frameworks, and AI-assisted automation.
Comfortable leveraging modern AI platforms such as OpenAI, Anthropic, and Google Gemini to rapidly prototype solutions.
Comfortable operating as an autonomous builder capable of handling the full lifecycle of a project—from frontend UI for demos to backend logic and basic cloud deployment — without requiring support from existing sprint teams.
Ability to identify Minimum Viable Value.
Actively follows emerging technologies and industry trends, identifying meaningful signals while filtering out short-lived hype.
Demonstrated ability to rapidly experiment with emerging technologies and translate ideas into working prototypes, supported by a portfolio of side projects, experiments, or technical initiatives.
Ability to explain complex systems to both technical and non-technical audiences — connecting ideas to customer value and operational impact for business stakeholders, while discussing latency, cost, scalability, and data considerations with engineers.
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