AI engineer

Job Title

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

Minimum Qualifications, Skills, and Experience

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)

Preferred Qualifications, Skills, and Experience

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)