Experienced Software Engineer, AI Services (Cambridge, Hybrid)
We are working with a Global leader in industrial software who are looking for an Experienced Software Engineer to join their AI Services. You will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
Required Skills and Experience
- Extensive experience in software engineering, preferably in platform or cloud-native service development, ideally using Microsoft and .NET technologies.
- Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
- Proficient in securing APIs, managing authentication/authorization and data privacy practices.
- Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads.
- Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
Desired Skills and Competencies
- 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).
- Familiar with AI orchestration and agentic frameworks.
- Experience with tools for automated testing and evaluation of AI outputs.
- Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
- Experience working in Agile teams and collaborating across global R&D locations.
You will be working out of their North Cambridge based office on a hybrid basis (50% WFH), they will be moving into a new office space soon which offers ample parking and easy access whether you drive or take public transport. The position pays a salary of up to £86,000 plus benefits.
If you are interested in discussing this role further, please get in touch.
#J-18808-Ljbffr”, “datePosted”: “2026-05-17”, “hiringOrganization”: { “@type”: “Organization”, “name”: “SoCode Recruitment”, “sameAs”: “https://uk.whatjobs.com/pub_api__cpl__435485329__4861?utm_campaign=publisher&utm_medium=api&utm_source=4861&geoID=126” }, “jobLocation”: { “@type”: “Place”, “address”: { “@type”: “PostalAddress”, “addressLocality”: “Cambridge” } } }Experienced Software Engineer, AI Services (Cambridge, Hybrid)
We are working with a Global leader in industrial software who are looking for an Experienced Software Engineer to join their AI Services. You will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native.
Required Skills and Experience
- Extensive experience in software engineering, preferably in platform or cloud-native service development, ideally using Microsoft and .NET technologies.
- Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
- Proficient in securing APIs, managing authentication/authorization and data privacy practices.
- Hands-on experience architecting and deploying scalable cloud-native services using PaaS, Docker, and Kubernetes to manage complex, containerized AI workloads.
- Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.
Desired Skills and Competencies
- 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).
- Familiar with AI orchestration and agentic frameworks.
- Experience with tools for automated testing and evaluation of AI outputs.
- Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
- Experience working in Agile teams and collaborating across global R&D locations.
You will be working out of their North Cambridge based office on a hybrid basis (50% WFH), they will be moving into a new office space soon which offers ample parking and easy access whether you drive or take public transport. The position pays a salary of up to £86,000 plus benefits.
If you are interested in discussing this role further, please get in touch.
#J-18808-Ljbffr…