Lead Agentic AI Engineer — Production LLMs

Rentokil Initial Group

Crawley

Hybrid

GBP 90,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Hybrid working
Competitive salary and bonus scheme
Rentokil Initial Reward Scheme
23 days holiday, plus 8 bank holidays
Employee Assistance Programme
Death in service benefit
Healthcare
Free parking

Job summary

Rentokil Initial Group is hiring a technically hands-on leader for the Group AI Team to architect, build and scale agentic AI solutions. You will bridge business needs with engineering, mentor a team of AI engineers and data scientists while delivering scalable use cases across regions.

You will drive MVP-to-production transitions, define best practices, and collaborate with enterprise architecture to ensure secure, compliant deployments.

Qualifications

  • Expert-level knowledge of building complex LLM-powered multi-agent systems.
  • Experience with LangGraph, LangChain, AutoGen or ADK.
  • Strong data engineering and cloud experience with GCP.
  • Proven ability to mentor engineers and lead delivery.

Responsibilities

  • Lead engineering design and ownership of Agentic Factory solutions.
  • Define coding standards, CI/CD and testing for AI applications.
  • Collaborate with Data Platform for data ingestion and modeling.
  • Drive production deployments from MVP to global rollout.
  • Mentor junior engineers and align with product owners.

Skills

LangGraph
LangChain
AutoGen
ADK
NLP
ML algorithms
Team Leadership
Mentorship

Education

Bachelor's or Master's in Computer Science or related field

Tools

Vertex AI
BigQuery
Cloud SQL
GCS
Docker
Kubernetes
GKE
Vertex AI Pipelines

Job description

Rentokil Initial Group is hiring a technically hands-on leader for the Group AI Team to architect, build and scale agentic AI solutions. You will bridge business needs with engineering, mentor a team of AI engineers and data scientists while delivering scalable use cases across regions.

You will drive MVP-to-production transitions, define best practices, and collaborate with enterprise architecture to ensure secure, compliant deployments.

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