Senior AI Platform Engineer

CyberPro Consulting

• Design, build, and maintain shared, secure, and observable AI services, including the LLM gateway, agent runtime, and supporting tooling.
  

• Improve the developer experience for teams consuming these services through self-service capabilities.
  

• Work directly with delivery teams to help them adopt AI capabilities and move solutions from experimentation into production.
  

• Provide reference architectures, working examples, and hands-on technical support.
  

• Help teams optimise cost and latency through techniques such as dynamic model routing and caching.
  

• Ensure platforms have capabilities to sanitise inputs and outputs, redact PII, and block prompt injection at the API layer.
  

• Develop patterns for prompt management, model access control, observability, and auditability.
  

• Define practical engineering patterns and technical standards.
  

• Evaluate emerging tools and technologies and determine where they best fit within the organisation's AI ecosystem.
  

• 10+ years of experience building production software using DevOps principles.
  

• Strong Python, Terraform, and/or CloudFormation/CDK experience.
  

• Solid experience building APIs and backend services, with a deep understanding of distributed systems.
  

• Comfortable with testing, code reviews, and CI/CD practices.
  

• Hands-on experience with LLMs and modern AI tooling, including Anthropic, OpenAI, and open-source models.
  

• Deep Linux/Unix operating system and software integration experience.
  

• Deep understanding and demonstrated ability to design and build production-grade agentic skills, MCPs, and AI agents.
  

• AWS Certified Cloud Practitioner or equivalent AWS certification.
  

• Experience with AWS container orchestration platforms such as Kubernetes and/or ECS.
  

• Deep understanding of networking, security, and Identity and Access Management (IAM).
  

• Demonstrable knowledge of AWS AgentCore and AWS Bedrock.
  

• Demonstrable knowledge of either AWS Strands or the LangChain/LangGraph frameworks.
  

• Good written and verbal communication skills in English.
  

• Proven experience successfully leading teams of 4–6 engineers and acting as a technical role model.
  

• Ability to work independently, take ownership, and drive deliverables through to completion.
  

• Strategic thinker with the ability to drive innovation, think big, and establish technical direction.
  

• 15+ years of experience building production software using DevOps principles.
  

• Experience with TypeScript, C#/.NET, Java/Spring Boot, AWS Lambda, and AWS Systems Manager (SSM).
  

• Familiarity with Claude Code CLI, AWS Kiro IDE, AWS Quick, AWS DevOps Agent, and SageMaker Studio AI.
  

• Experience with Microsoft Copilot Pro/Cowork and Azure AI Foundry.
  

• Exposure to Clew-AI framework and Claude SDK.
  

• Experience with AWS Knowledge Bases, PostgreSQL, DynamoDB, AWS Neptune, and AWS OpenSearch.
  

• Familiarity with CrowdStrike AIDR, PingOne, Microsoft Entra ID, Jira, Microsoft Office Suite, Backstage, and GitHub.
  

• Experience working across Linux, macOS, and Windows environments.
  

• Experience with LLM Studio, Ollama, LiteLLM, Bifrost, and open-weight model hosting.