Agentic AI Engineer

SixteenFifty; Greater London; Hybrid; GBP 65,000 - 90,000; Part time

Job summary

SixteenFifty is seeking an Agentic AI Engineer for a 6-month extendable contract. The role is remote with 3-4 days per month in London, offering exposure to production-grade agentic AI systems and multi-agent workflows.

You will design and build Python services powering AI products, integrate foundation models, and collaborate with DevOps to deploy scalable cloud-native solutions.

Qualifications

• Proven experience as an AI engineer with focus on agentic systems.
• Hands-on with Python and cloud AI platforms.
• Experience with Kubernetes and CI/CD pipelines.

Responsibilities

• Design and build production-ready agentic AI applications and autonomous workflows.
• Build software using specification-driven development and AI-assisted engineering practices.
• Develop Python services and APIs powering AI products.
• Integrate foundation models using AWS Bedrock, Azure AI Services and other cloud AI platforms.
• Engineer secure, scalable cloud-native applications running on Kubernetes.
• Build and maintain CI/CD pipelines using GitHub Actions.
• Collaborate with platform engineers to deploy resilient, observable production systems.
• Work directly with technical leadership to shape architecture and engineering direction.

Skills

Python

LLMs

Generative AI

Job description

I have an urgent job opportunity available for a Agentic AI Engineer to join on a 6 month extendable contract working remotely (3-4 days in London per month).

Key Responsibilities for the Agentic AI Engineer

• Design and build production-ready agentic AI applications and autonomous workflow. Develop AI systems using modern agent frameworks and multi-agent architecture
• Build software using specification-driven development and AI-assisted engineering practice
• Develop Python services and APIs powering AI product
• Integrate foundation models using AWS Bedrock, Azure AI Services and other cloud AI platform
• Engineer secure, scalable cloud-native applications running on Kubernete
• Build and maintain CI/CD pipelines using GitHub Action
• Collaborate with platform engineers to deploy resilient, observable production system
• Work directly with technical leadership to shape architecture and engineering direction.

Software Engineering

• Build scalable backend services and APIs supporting agent execution.
• Develop monitoring, logging, and observability solutions for AI systems.
• Implement automated testing and validation pipelines for AI applications.
• Collaborate with DevOps teams for deployment and maintenance.

Technical Skills

• Strong proficiency in Python.
• Large Language Models (LLMs) and Generative AI technologies.