Keysight Technologies
From Keysight Technologies's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Here, you'll find opportunities to do your best work, take your career further, and thrive in an award-winning culture.
Overview
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.
You will architect and build multi-step, tool-using AI agent systems that run reliably in production, while staying hands-on as a full-stack engineer.
Design agentic architectures: planning, tool use, memory, multi-agent orchestration and human-in-the-loop controls.
Build agent backends and UIs with Python, Django and React; deploy on AWS.
Integrate RAG, function/tool calling and enterprise APIs into agent workflows.
Define evaluation, tracing, safety guardrails and cost/latency controls for agents.
Work with frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI or AutoGen, and protocols such as MCP.
Mentor engineers and set patterns for agent development across teams.
Required qualifications
7+ years of software engineering experience, with architecture ownership.
Strong Python, Django and React; solid AWS experience.
AI experience is required: LLMs, RAG, vector databases, prompt engineering, and hands-on experience building agentic or multi-agent systems.
Strong distributed systems, async/event-driven design and API skills.
Experience evaluating and monitoring non-deterministic AI systems in production.
AWS Bedrock Agents, fine-tuning, Docker/Kubernetes, and published or open-source work in agentic AI.
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
You will architect and build multi-step, tool-using AI agent systems that run reliably in production, while staying hands-on as a full-stack engineer.
Design agentic architectures: planning, tool use, memory, multi-agent orchestration and human-in-the-loop controls.
Build agent backends and UIs with Python, Django and React; deploy on AWS.
Integrate RAG, function/tool calling and enterprise APIs into agent workflows.
Define evaluation, tracing, safety guardrails and cost/latency controls for agents.
Work with frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI or AutoGen, and protocols such as MCP.
Mentor engineers and set patterns for agent development across teams.
Required qualifications
7+ years of software engineering experience, with architecture ownership.
Strong Python, Django and React; solid AWS experience.
AI experience is required: LLMs, RAG, vector databases, prompt engineering, and hands-on experience building agentic or multi-agent systems.
Strong distributed systems, async/event-driven design and API skills.
Experience evaluating and monitoring non-deterministic AI systems in production.
AWS Bedrock Agents, fine-tuning, Docker/Kubernetes, and published or open-source work in agentic AI.
Careers Privacy Statement***Keysight is an Equal Opportunity Employer.***
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