About the role
Keysight is a mission-critical design enablement partner for organizations solving the world’s most complex engineering challenges. With deep engineering expertise and leading design, emulation, and test solutions, our ~16,800 employees help customers in over 100 countries accelerate innovation across communications, automotive, energy, quantum, aerospace and defense, semiconductor, and artificial intelligence markets. Learn more about what we do.
At Keysight, people come together to explore new ideas, challenge what's possible, and advance the technologies defining the future. Here, you'll find opportunities to do your best work, take your career further, and thrive in an award-winning culture. Learn more about our benefits.
Responsibilities
Responsibilities
- Own design and delivery of full-stack AI solutions (Python, Django, React) from discovery to production on AWS.
- Architect and ship RAG systems and LLM-based workflows, including retrieval quality, evaluation and guardrails.
- Lead technical discussions with customers, translate business problems into solutions and drive adoption.
- Design scalable, secure AWS deployments (ECS/EKS, Lambda, RDS, S3, IAM, CloudWatch) with CI/CD.
- Set engineering standards, review code and mentor junior forward deployed engineers.
- Feed field insights into the product roadmap.
Qualifications
Required qualifications
- 7+ years of software engineering experience, with strong full-stack delivery.
- Expert in Python and Django; strong React (TypeScript preferred).
- Deep AWS experience.
- AI experience is required: production LLM applications, RAG, vector search, embeddings, prompt engineering and LLM evaluation.
- Proven customer-facing delivery and stakeholder management.
- Strong system design, API, SQL and data modeling skills.
Preferred
- LangChain or LlamaIndex, fine-tuning, Docker/Kubernetes, Terraform or CDK, and team-lead experience.
Careers Privacy Statement*Keysight is an Equal Opportunity Employer.*