AI Development Platform Engineer

Harvey Nash Group; City of Edinburgh; Hybrid; GBP 1,000; Full time

Job summary

A leading technology firm seeks an AI Development Platform Engineer for a 6-month contract in a hybrid setup. The candidate will build a comprehensive AI Development Platform while employing best practices in Kubernetes, Python, and Generative AI integrations. Strong hands-on experience is required to drive the implementation of AI capabilities across the organization.

Qualifications

• Strong application development with Python (Flask/FastAPI).
• Broad understanding of data engineering and governance.
• Experience with Kubernetes and RESTful services.

Responsibilities

• Develop tooling and self-service capabilities for AI solutions.
• Enhance developer experience for AI application deployment.
• Ensure platform reliability and operational excellence.

Skills

Application development in Python

Kubernetes workload management

RESTful service development

DevOps and CI/CD

Data engineering and governance

Strong communication skills

Understanding of deep learning frameworks

Tools

Grafana

Prometheus

Jenkins

Job description

AI Development Platform Engineer | 6 Month Contract | (Inside IR35) | Hybrid, Glasgow (3 days PW) | Starting ASAP

Day Rate: £545

About the Role:

This role is for a platform engineer who will help build a firmwide AI Development Platform and drive adoption of AI capabilities throughout the enterprise. The ideal candidate will have strong hands-on experience of building software platforms on Kubernetes, API-based development, REST frameworks, data engineering, and large-scale API Gateway environments. Knowledge of AI/ML and hands-on experience implementing solutions using Generative AI are also preferable.

Main Duties:

• Develop tooling and self-service capabilities for deploying AI solutions.
• Enhance the developer experience for AI application deployment.
• Build reusable solutions to scale Generative AI use cases.
• Use Kubernetes/OpenShift for containerized workloads.
• Work with container registries, Helm, Kustomize, and GitOps.
• Integrate with large-scale vector stores for embeddings.
• Author best practices for Generative AI tools and models.
• Implement GenAI solutions with a focus on Agentic Orchestration.
• Contribute to design decisions and product selection.
• Ensure platform reliability, scalability, and operational excellence.
• Participate in Agile/Scrum ceremonies.

Essential Skills & Experience:

• Strong application development in Python (Flask or FastAPI preferred).
• Broad understanding of data engineering and governance.
• Kubernetes workload management (OpenShift preferred).
• RESTful service development for enterprise solutions.
• Experience with multiprocessing, async I/O, and performance profiling.
• Unit testing, performance testing, and BDD.
• Understanding of OAuth 2.0 and secure authorization.
• Proficiency with observability tools (Grafana, Prometheus, etc.).
• DevOps and CI/CD (Jenkins, GitOps).
• Strong communication and collaboration skills.
• Understanding of deep learning and ML frameworks (TensorFlow, PyTorch).
• Secure coding practices and cloud-native application development.

Desirable Skills:

• Microservices architecture and cloud deployment patterns.
• Modern application configuration techniques.
• Experience with distributed state sharing and caching.
• Knowledge of various DB engines (SQL, Redis, Kafka).
• Experience with Generative AI and LLM-based applications.
• Familiarity with AI agents and orchestration frameworks (LangChain, LangGraph).
• Experience with embeddings and fine-tuning GenAI models.
• Understanding of ModelOps/ML Ops/LLM Ops.
• Familiarity with SRE techniques.

This role has been deemed Inside IR35 by the client. Applicants must hold, or be happy to apply for, a valid Basic Disclosure Scotland. Please click the link to apply.