Lead AI Engineer – Agentic Factory (Hybrid)

Hackajob Ltd

Crawley

Hybrid

GBP 90,000 - 130,000

Full time

9 days ago
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Benefits offered by this job

Hybrid working
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 is seeking a pragmatic, highly technical leader to head the engineering efforts within our Agentic Factory. You will bridge business needs with technical execution, mentor a team of AI engineers and data scientists, and drive production-ready AI solutions across global operations.

Join a role focused on designing, building, and deploying genAI, ML solutions, and agentic workflows, with strong emphasis on platform maturity, safety, and scalable delivery.

Qualifications

  • Expert-level experience building complex LLM-powered systems and multi-agent workflows.
  • Deep practical understanding of ML algorithms and NLP for enterprise deployment.
  • Strong data engineering and cloud computing with GCP (Vertex AI, BigQuery).
  • Proven track record architecting MLOps/LLMOps pipelines with containerized workflows.

Responsibilities

  • Lead engineering efforts within the Agentic Factory.
  • Bridge business requirements and technical execution; mentor AI engineers and data scientists.
  • Define engineering best practices and oversee CI/CD pipelines for internal AI assets.
  • Drive MVPs to production and enable scalable AI solutions across functions.

Skills

AI Orchestration
LangGraph
LangChain
AutoGen
ADK
NLP
MLOps
Team Leadership

Education

Bachelor's or Master's in CS/Software/AI

Tools

Vertex AI
BigQuery
GCS
Docker
Kubernetes
FastAPI

Job description

Rentokil Initial is seeking a pragmatic, highly technical leader to head the engineering efforts within our Agentic Factory. You will bridge business needs with technical execution, mentor a team of AI engineers and data scientists, and drive production-ready AI solutions across global operations.

Join a role focused on designing, building, and deploying genAI, ML solutions, and agentic workflows, with strong emphasis on platform maturity, safety, and scalable delivery.

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