Software Engineer developing data systems to improve core product experience at Whatnot's live commerce platform. Leading development of scalable solutions with a high - impact focus.
About the role
- Senior GenAI Software Architect at Intel developing AI products impacting real-world applications. Architecting machine learning strategies and collaborating with users for innovative solutions.
Responsibilities
- Develop sophisticated GenAI solutions using supervised/unsupervised learning, deep learning, reinforcement learning, and Bayesian analysis
- Work directly with users to define requirements for breakthrough products and solutions
- Translate ML models into production software through programming, testing, debugging, documentation, and deployment
- Fine-tune GenAI workloads for edge devices using xPU accelerators
- Support partners in GenAI workflow design and deployment
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field
- 4+ years hands-on AI/ML algorithm development experience
- 3+ years specialized experience in NLP, LLM-based systems, or AI agent development
- Experience in GenAI algorithms, solution architecture, and performance tuning
- Building custom AI tools, agents, or apps for real-world use cases
- Python skills with GenAI frameworks (LangChain, LlamaIndex, AutoGen, HuggingFace)
- Experience with RAG pipelines and vector databases
Benefits
- Competitive pay
- Stock bonuses
- Benefit programs which include health, retirement, and vacation
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