WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

AI Engineer (Java OR Python) - Sheffield (Hybrid) - Inside IR35

iBSC
Sheffield, UK
8 days ago
Apply on www.careerboard.com
Prepare application

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
£78,000.0 - £104,000.0
Working hours
Regular working hours
Job source
www.careerboard.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure DevOps Python (Programming Language) Software Engineering Spring Cloud Large Language Models Event Driven Architecture AI Platforms
+3 more
Kubernetes Virtual Agents Microservices

Requirements

  • 7+ years’ software engineering experience.
  • Strong hands-on development experience with Java and/or Python.
  • Experience building cloud-native applications on Azure, AWS or GCP.
  • Strong knowledge of Kubernetes, Microservices, APIs, Event-Driven Architecture and DevOps.
  • Hands-on experience with LLM integration, RAG and Agentic AI.
  • Experience with AI frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen or CrewAI.
  • Strong understanding of enterprise architecture, scalability, security and production engineering.
  • Proven experience providing technical leadership, mentoring engineers and contributing hands-on to delivery.

Desirable/Bonus Experience

  • Azure OpenAI, OpenAI, Anthropic, Gemini or similar platforms.
  • Vector databases, knowledge retrieval and AI observability tooling.
  • Banking, Financial Services or Treasury experience.
  • Experience establishing AI engineering standards across multiple teams.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerboard.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

2:28 min

Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

2:07 min

Implementing business logic leveraging the Spring Cloud framework

Ingo Weichsel · World Congress 2023

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

Videos

See all
From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform thumbnail
22:57
World Congress 2026 Europe • about 2 months ago

From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform

Dominik Krichbaum

Understanding Kubernetes in a visual way thumbnail
29:05
World Congress 2026 Europe • about 2 months ago

Understanding Kubernetes in a visual way

Aurélie Vache

Serverless Architectures with Spring Cloud Functions and Knative thumbnail
28:55
World Congress 2023 • almost 3 years ago

Serverless Architectures with Spring Cloud Functions and Knative

Ingo Weichsel

Hiring AI Native Talents thumbnail
10:10
World Congress 2026 Europe • about 2 months ago

Hiring AI Native Talents

Zahhar Kirillov

Microservices: how to get started with Spring Boot and Kubernetes thumbnail
1:02:46
LIVE • almost 5 years ago

Microservices: how to get started with Spring Boot and Kubernetes

Aleksandr Kalikov

Kubernetes Native Java thumbnail
45:03
World Congress 2022 • about 4 years ago

Kubernetes Native Java

Josh Long

Related articles

See all