GenAI Production Engineer

Argus Media; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid working (1 day in office)

25 days annual holiday

Group healthcare & life assurance

Gym membership subsidy

Season ticket travel loan

Cycle to work scheme

Training & personal development

Job summary

Argus Media in London is seeking an hands-on AI/ML engineer to productionise Generative AI and agentic systems, building APIs, tools and workflows that let LLMs operate reliably at scale. You will partner with Engineering, DevOps and Infrastructure to bring models to production with reliability, security and performance.

In Data Science, you will set standards for production readiness, mentor colleagues, and drive delivery across teams, shaping how quickly Argus can deploy new AI capabilities to

Qualifications

• Degree in Computer Science, AI, ML, Software Engineering, Data Science or equivalent hands-on exp.
• MSc/PhD welcome but not essential.
• Strong Python and backend/API engineering experience.

Responsibilities

• Design and build robust APIs and backend components for AI/ML applications.
• Engineer agentic systems—integrating LLMs with tools, data sources, and workflows.
• Drive production readiness, reliability and observability across the stack.
• Mentor data scientists and engineers and advocate disciplined engineering.

Skills

Python programming

Backend API engineering

AWS experience

Docker

CI/CD pipelines

Cross-team collaboration

Debugging & performance

Software fundamentals

Agentic AI systems

GenAI/LLM production

MCP exposure

MLOps pipelines

Real-time/streaming

Education

Bachelors in CS/AI/DS/SE

MSc or PhD welcome

Tools

LangGraph

LangChain

CrewAI

AutoGen

Job description

Argus Media in London is seeking an hands-on AI/ML engineer to productionise Generative AI and agentic systems, building APIs, tools and workflows that let LLMs operate reliably at scale. You will partner with Engineering, DevOps and Infrastructure to bring models to production with reliability, security and performance.

In Data Science, you will set standards for production readiness, mentor colleagues, and drive delivery across teams, shaping how quickly Argus can deploy new AI capabilities to