Gen AI engineer
Skills
Continuous Integration And Continuous DeliveryAmazon Web ServicesBusinessData ScienceEngineeringFosteringGood Clinical Practice
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 8-13 years of experience in ML/AI systems
- 2+ years hands-on experience with LLMs including RAG agents and prompt engineering
- Strong proficiency in Python LangGraph and SQL
- Experience deploying GenAI systems on AWS Azure or GCP
Nice to have
- Technical leadership
- Scalability focus
- Cross-functional collaboration
- Mentoring mindset
Day to day
- Lead the design and deployment of advanced large language model solutions using prompt engineering retrieval-augmented generation and agent-based architectures.
- Build and maintain high-quality Python and SQL code with reusable components scalability and strong performance standards.
- Support cloud deployment of GenAI applications on AWS Azure or GCP while improving resource usage and CI/CD reliability.
- Collaborate closely with product owners data scientists and business SMEs to shape requirements and deliver impactful AI products.
- Provide technical leadership mentoring and knowledge-sharing to strengthen engineering best practices in ML and LLM development.