AI Product Engineer
Skills
AdoptionBusiness ProcessBusiness ValueBusiness-To-BusinessContent ManagementContent StrategyData Engineering
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong software engineering experience with Python
- Experience building and deploying production AI applications
- Hands-on experience with LLMs RAG architectures vector databases and agent frameworks
- Experience integrating APIs and third-party platforms
- Strong product and business thinking
- Ability to communicate technical concepts to non-technical audiences
- Comfortable operating in fast-paced ambiguous environments
Nice to have
- Production-minded
- Business-focused
- Collaborative
- Adaptable
- Innovative
Day to day
- Build AI-powered applications, agents, and workflow automation solutions that improve operational efficiency and unlock new capabilities.
- Design and deploy production-ready systems using large language models, retrieval methods, search, and knowledge management techniques.
- Partner with business stakeholders to identify high-impact use cases and take solutions from concept through deployment and adoption.