AI engineer

RESPONSIBILITIES

• Lead development of back-end services, primarily in Python
• Work regularly with AI model APIs (such as the Azure OpenAI API or Google VertexAI API)
• Work daily with Azure and Google Cloud Platform (GCP)
• Project-level development of infrastructure using Terraform
• Project-level development of CI/CD pipelines using GitHub Actions
• Troubleshooting of issues related to deployments in Kubernetes (Azure Kubernetes Service)
• Ensure accurate observability of solutions deployed in AKS using Datadog, Dynatrace or other related observability tools
• Ensure we hit SLAs and lead incident management procedures
• Document work and solutions appropriately
• Engage with other technology, infrastructure, and product teams as necessary to complete tasks
• Participate routinely in team on-call rotation and customer support during business hours

• 4-year degree in a technology related discipline (Computer Science, Computer Engineering, Information Systems, etc.) or equivalent work experience
• 5+ years of experience with public cloud technologies (Azure or GCP preferred), including demonstrated application development and hosting focus.
• 5+ years of experience with container technologies (Docker, Kubernetes, Helm)
• 3+ years of experience with cloud infrastructure automation tools (Terraform)
• 3+ years of experience with SDLC and working with Agile development teams
• Ability to manage large size technical projects, solving related problems and working to tight deadlines while under pressure
• Strong interpersonal and communication skills with demonstrated experience leveraging these skills with technical teams and non-technical business units
• Desire to learn new technology and grow across different areas of technology
• Familiarity with AI-related concepts such as LLMs, Agents, Model Context Protocol (MCP)

• Experience developing AI-powered features or applications
• Demonstrated ability to prioritize own workload with multiple responsibilities and adaptability to changes in those priorities
• Experience building Proxies and Gateway services (e.g.: API Gateways)