AI Development Platform Engineer

Harvey Nash Group • TRAFFIC • Edinburgh, Not Specified, United Kingdom • 2d ago

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.

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