RandD Engineer 2 Software

Overview

Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do.

We are seeking a highly skilled AI/ML Engineer to join our team focused on building next-generation Virtual Assistants (VA), including chatbots and copilots. The ideal candidate will have strong software development expertise combined with hands-on experience in Retrieval-Augmented Generation (RAG) and Context-Augmented Generation (CAG) architectures. You will work on designing, developing, and deploying intelligent conversational systems that deliver accurate, context-aware, and secure responses.

Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers.

Responsibilities

• Design & Development:
• Build and optimize virtual assistant solutions leveraging LLMs, RAG, and CAG frameworks.
• Develop scalable APIs and microservices for chatbot and copilot integration.
  
  

• Data & Knowledge Management:
• Implement vector databases, embeddings, and retrieval pipelines for context-aware responses.
• Manage structured and unstructured data ingestion for knowledge bases.
  
  

• Model Integration & Optimization:
• Fine-tune open-source or commercial LLMs for domain-specific tasks.
• Implement prompt engineering and evaluation strategies for high-quality outputs.
  
  

• Software Engineering:
• Write clean, maintainable, and efficient code in Python (preferred), Java, or similar languages.
• Ensure CI/CD pipelines for model deployment and updates.
  
  

• Performance & Quality:
• Develop evaluation metrics for chatbot accuracy, latency, and user experience.
• Implement feedback loops for continuous improvement of VA responses.
  
  

• Collaboration:
• Work closely with product managers, architects, and UX teams to align technical solutions with business goals.
  

• Education: Bachelor’s or Master’s in Computer Science, AI/ML, or related field.
• Technical Skills:
• Strong programming skills in Python, Java, or similar.
• Experience with LLMs, RAG/CAG architectures, and vector databases (e.g., Pinecone, Weaviate, FAISS).
• Familiarity with LangChain, LlamaIndex, or similar frameworks.
• Knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
  
  

• AI/ML Expertise:
• Understanding of NLP, embeddings, and transformer-based models.
• Experience in fine-tuning and deploying models in production environments.
  
  

• Soft Skills:
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration abilities.