Build and maintain AI-powered applications using modern LLM technologies
Design and implement AI agents and agentic workflows that automate engineering processes
Build scalable Python-based software services, APIs, and automation tools
Collaborate with engineering teams to understand requirements and translate them into technical solutions
Independently drive projects from concept to production deployment
Mentor junior engineers and share technical best practices
Stay current with emerging AI technologies and contribute to technical innovation initiatives
Minimum Qualifications
Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Software Engineering, Artificial Intelligence, Electrical Engineering, or a related field
5+ years of industry experience in Machine Learning, Artificial Intelligence, Data Science, or Software Engineering
Strong programming skills in Python
Proven experience developing and deploying machine learning models to production environments
Strong understanding of
Machine Learning algorithms
Feature engineering
Model evaluation and validation
Statistics and data analysis
Software engineering fundamentals
Hands-on experience with
PyTorch, TensorFlow, or Scikit-Learn
Git-based development workflows
Large-scale data analysis
Experience developing GenAI applications using LLMs
Fluent in English (verbal and written)
Preferred Qualifications
Experience designing and implementing AI Agent frameworks (single-agent and multi-agent)
Experience with prompt engineering, RAG systems, and knowledge retrieval platforms
Experience deploying machine learning inference services to production systems
Experience with ML model monitoring and lifecycle management
Experience with cloud platforms such as AWS
Experience building APIs, microservices, or data processing pipelines
Experience working with semiconductor manufacturing, product engineering, test engineering, or fab data
Experience deploying machine learning inference systems within automatic test equipment (ATE) is highly desirable
Experience solving yield analysis, anomaly detection, root cause analysis, or process optimization problems
Minimum Qualifications
Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.
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