Senior Generative AI Engineer (Applied AI/LLMs)
Skills
- Proficiency in prompt engineering to optimize AI model performance and cost.
- Deep knowledge of Retrieval-Augmented Generation (RAG) and experience with vector databases.
- Experience with LLM APIs and understanding of capabilities and limitations.
- Expertise in AI development frameworks such as LangChain and LlamaIndex.
- Strong Python programming and solid software engineering foundation.
- Familiarity with cloud platforms like Google Cloud, AWS, or Azure.
- Experience with knowledge graphs, Graph RAG techniques, and multimodal AI.
- Understanding of AI-driven UX/UI design and client integration principles.
Responsibilities
- Lead end-to-end development of scalable Generative AI solutions including data preparation, model deployment, and production operations.
- Design and implement AI systems for internal productivity tools and client-facing applications delivering intelligent insights and recommendations.
- Architect reusable AI tooling and infrastructure components for model serving, data processing, and embedding management.
- Champion best practices in prompt engineering, model evaluation, and modern AI frameworks to ensure solution robustness and scalability.
- Stay current with AI research, evaluate new models and techniques, and apply continuous improvements.
- Collaborate with cross-functional teams and clearly communicate AI capabilities to technical and non-technical stakeholders.
Education
- Bachelor's, Master's, or PhD in Computer Science, Data Science, Machine Learning, or related technical field.
Benefits
- Highly competitive compensation
- Fully paid medical, dental, and vision coverage
- Team-oriented and collaborative company culture
- Flexibility for in-office and remote work arrangements
Average salary estimate
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