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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