Generative AI Engineer
Design, develop, and deploy state-of-the-art, scalable GenAI solutions. Implement AI platform components using Python, microservices, LLMs, RAG, fine-tuning, and vector databases. Drive engineering excellence on AWS.
Responsibilities
- Design and implement GenAI platform components using Python and modern microservices.
- Drive engineering and operational excellence and best practices.
- Collaborate with tech, product, program, and business peers to deliver customer value and drive product vision.
- Drive end-to-end development of AI systems, from research and experimentation to deployment and scaling.
- Analyze complex problems and define requirements to solve them.
- Stay updated on GenAI trends and technologies, bringing fresh ideas to the team.
- Develop according to AWS best practices.
Requirements
- 2 years of experience in applying AI to practical technology solutions.
- Strong understanding of Generative AI principles, including LLMs, RAG, and fine-tuning.
- Proficiency in Python and experience with GenAI Python libraries and modules.
- Expertise with vector databases (e.g., OpenSearch, Pinecone) for data storage and retrieval.
- Academic degree in Computer Science or equivalent.
- Excellent problem-solving, analytical, interpersonal, and communication skills.
Nice to have
- Experience contributing to architecture and design of new and current systems.
- Experience with AWS ecosystem.
- Experience with SageMaker and AWS Bedrock.
Benefits
- Opportunities for learning and personal development.