Senior Ai Research & Agentic Engineer Hybrid

Cisco UK

Raleigh, North Carolina, United States
Base: $177,600.00 to $236,800.00; bonus/equity: el...
Hybrid (onsite 3 days per week)
Master's degree in computer science or related field
4+ years software engineering experience
Senior-level python development skills
Cisco UK is seeking a Senior AI Research & Agentic Engineer for a hybrid role based in either Raleigh, North Carolina, or San Jose, California. The position involves designing and developing AI workflows, leveraging advanced technologies to enhance enterprise solutions, while promoting a collaborative team culture

Job Summary

  • The role involves designing and developing sophisticated agentic workflows leveraging state-of-the-art LLM models to automate complex reasoning tasks.
  • Candidates will rapidly prototype new AI features using AI-native tools such as Copilot, Cursor, and Claude Code to transform research concepts into functional demos.
  • Cisco offers a competitive salary range of $177,600.00 to $236,800.00 along with comprehensive benefits including medical insurance, 401(k) matching, and flexible vacation time.

Matching Summary

Match Score: 85

Cisco UK is seeking a Senior AI Research & Agentic Engineer for a hybrid role based in either Raleigh, North Carolina, or San Jose, California. The position involves designing and developing AI workflows, leveraging advanced technologies to enhance enterprise solutions, while promoting a collaborative team culture.

Salary

Base: $177,600.00 to $236,800.00; Bonus/Equity: Eligible for annual bonuses and restricted stock units; Benefits: Medical, dental, vision, 401(k) match, paid parental leave, and flexible vacation

Skills & Requirements

Must-have

  • Master's degree in Computer Science or related field
  • 4+ years software engineering experience
  • Senior-level Python development skills
  • Experience with LangChain or LangGraph
  • Hands-on LLM integration from OpenAI or Gemini
  • Building autonomous multi-step agentic workflows
  • Cloud-native deployment on AWS Azure or GCP

Nice-to-have

  • Familiarity with DevOps practices and Agile methodologies
  • Proficiency with advanced coding tools like Cursor
  • Experience building connectors using Model Context Protocol
  • Practical experience with RAG and vector database optimization
  • Ability to translate research papers into production solutions
  • Strong collaboration and communication skills

Key Requirements

  • Master's degree in Computer Science or related field
  • 4+ years of software engineering experience
  • Deep experience with Kubernetes and Docker
  • Proven track record in prompt engineering

Work Rights

Not specified

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