Agentic AI Engineer (LangGraph & LLMs)

ELLIOTT MOSS CONSULTING PTE. LTD.; Penarth; On-site; GBP 65,000 - 85,000; Full time

Job summary

A technology consulting firm in the UK is seeking an Agentic AI Engineer to design and maintain scalable AI workflows. The role requires strong prompt engineering skills, proficiency in Python, and hands-on experience with Git-based CI/CD pipelines. Key responsibilities include developing reusable workflows, writing production-ready code, and collaborating in a team environment. Ideal candidates will have experience with LangGraph and LLMs, and a solid understanding of agentic AI systems.

Qualifications

• Strong prompt engineering skills for LLM control and output reliability.
• Proven experience with LangGraph, including building reusable workflows.
• Proficiency in Python, including writing and maintaining pytest-based unit tests.
• Hands-on experience with Git and GitLab CI/CD pipelines.

Responsibilities

• Design and develop reusable agentic AI workflows using LangGraph and LLMs.
• Implement and understand Agent-to-Agent (A2A) orchestration patterns.
• Write clean, production-ready Python code with comprehensive pytest unit tests.
• Use Git for version control and collaborate within a team-based environment.
• Implement and maintain GitLab CI/CD pipelines for automated deployment.

Skills

Prompt engineering

Python development

Git and GitLab CI/CD

Tools

LangGraph

pytest

Job description

Overview

We are looking for an Agentic AI Engineer to design, develop, and maintain scalable agentic AI workflows using LangGraph and Large Language Models (LLMs).

The role requires strong prompt engineering expertise, solid Python development skills, and hands-on experience working with Git-based CI/CD pipelines in a production environment.

Key Responsibilities

• Design and develop reusable agentic AI workflows using LangGraph and LLMs; craft, test, and refine high-quality prompts to ensure reliable and consistent LLM outputs.
• Implement and understand Agent-to-Agent (A2A) orchestration patterns.
• Write clean, production-ready Python code with comprehensive pytest unit tests.
• Use Git for version control and collaborate within a team-based development environment.
• Implement and maintain GitLab CI/CD pipelines for automated build, testing, and deployment.

Required Skills

• Strong prompt engineering skills for LLM control and output reliability.
• Proven experience with LangGraph, including building and maintaining reusable workflows and components.
• Proficiency in Python, including writing and maintaining pytest-based unit tests.
• Hands-on experience with Git and GitLab CI/CD pipelines.
• Good-to-Have Skills: Hands-on experience in agentic AI system design and orchestration; solid understanding of Agent-to-Agent (A2A) orchestration principles.