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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

supervised learningunsupervised learningdeep learningreinforcement learningBayesian analysisNLPLLM-based systemsAI agent developmentGenAI algorithmsPython

Soft Skills

communicationcollaborationproblem-solvinguser requirements definition