Lead Software Developer (AI Platform & Tooling)

Stealth It
United Kingdom
4 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£137,540
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Cloud Computing Cloud Engineering Continuous Integration DevOps Azure Machine Learning Software Engineering AI Platforms Kubernetes Infrastructure Automation Frameworks

Job description

  • Design and implement AI development and experimentation environments
  • Evaluate emerging AI tooling, frameworks and technology platforms
  • Build integration services, APIs and orchestration capabilities
  • Support deployment, monitoring and operational readiness activities
  • Assess tooling costs, licensing impacts and infrastructure requirements
  • Develop reusable accelerators, technical assets and reference implementations
  • Implement security controls, monitoring and operational guardrails
  • Support continuous improvement and optimisation of AI platforms
  • Give technical guidance to multidisciplinary teams

Requirements

  • Software engineering and cloud infrastructure expertise
  • Experience with AI platforms such as AWS Bedrock and Microsoft Foundry, plus APIs and orchestration frameworks
  • Knowledge of Azure AI services and cloud-native architectures
  • DevOps, CI/CD and Infrastructure as Code practices
  • Cost optimisation and cloud consumption management
  • Security, monitoring and operational support principles
  • Integration and automation technologies

Personal attributes:

  • Strong technical curiosity and an innovation mindset
  • A pragmatic approach to balancing risk, cost and capability
  • Adaptable and responsive to emerging technologies
  • Collaborative and supportive team player
  • Strong ownership and delivery focus
  • Comfortable working with uncertain or incomplete requirements

About the company

Note: This role requires additional vetting, which may take longer than a standard onboarding process.

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