(UK)Senior Engineer - AI Core services

Codvo.ai; Cambridge; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global technology services company based in Cambridge is seeking a Senior Engineer to join their Core AI Services team. This role involves designing and developing AI-enabling platform services on Microsoft Azure. Candidates should have over 10 years of software engineering experience, particularly with cloud-native solutions. A robust understanding of ML algorithms and experience with AI tools is also required, alongside a commitment to responsible AI development.

Qualifications

• Hands-on experience with Microsoft Azure and associated PaaS services.
• Strong expertise in RESTful API design and lifecycle management.
• Demonstrated ability to mentor junior team members.

Responsibilities

• Build scalable, fault-tolerant cloud-native services on Microsoft Azure.
• Develop secure APIs for internal and external developers.
• Mentor junior developers and encourage continuous learning.

Skills

Experience with Large Language Models

Understanding of ML algorithms

Fluent in developing code using AI tools

Proficient in Python

Experience with AI frameworks/tools

Education

10+ years in software engineering

Tools

Microsoft Azure

TensorFlow

PyTorch

Job description

Overview

Job Title: Senior Engineer - AI Core Services

Location: Cambridge, UK

Company Overview

At Codvo, software and people transformations go hand-in-hand. We are a global empathy-led technology services company. Product innovation and mature software engineering are part of our core DNA. Respect, Fairness, Growth, Agility, and Inclusiveness are the core values that we aspire to live by each day.

We continue to expand our digital strategy, design, architecture, and product management capabilities to offer expertise, outside-the-box thinking, and measurable results.

About the Role

We are looking for passionate and skilled Software Developers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.

You will part of the team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset - rapid prototyping and continuous improvement with agility of a start-up.

Key Responsibilities

• Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability.


• Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers.


• Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs.


• Embed robust security controls to protect sensitive data and ensure secure access to AI services.


• Contribute to design reviews, code reviews, and architectural discussions to ensure engineering excellence.


• Mentor junior developers, encourage continuous learning, and contribute to a culture of innovation.


• Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.

AI & Cloud Expertise

• Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability.


• Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.


• Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).


• Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning).


• Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.


• Fluent in developing code using AI tools such as GitHub Copilot. Must be able to use prompt engineering to carry out multiple development tasks.


• Familiar with AI orchestration, including tools like AI Foundry and/or Semantic Kernel.


• Experience with tools for automated testing and evaluation of AI outputs is a plus.


• Experience in Python and AI frameworks/tools such as PyTorch and TensorFlow.

Core Skills and Qualifications

• 10+ years of experience in software engineering, preferably in platform or cloud-native service development using Microsoft and .NET technologies.


• Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management).


• Strong expertise in RESTful API design, versioning, testing, and lifecycle management.


• Proficient in securing APIs, managing authentication/authorization and data privacy practices.


• Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.


• Experience working in Agile teams and collaborating across global R&D locations


• Demonstrated ability to mentor junior team members fostering a culture of continuous learning and innovation


• Demonstrated experience with AI frameworks, tools and Python