Engineer AI Platform

Experience and skills

• 1-5 years of experience in building backend services, APIs, automation, cloud-native applications, or platform services.
• Hands-on experience with Python and modern software engineering practices; JavaScript/TypeScript or Java/.NET is an asset.
• Experience with Azure, Azure DevOps or GitHub Enterprise, CI/CD, containers, Infrastructure as Code, logging, monitoring, and secure development practices.
• Exposure to LLM application patterns, RAG, prompt orchestration, vector search, model evaluation, and AI observability is preferred.
• Strong collaboration, documentation, problem solving, and operational support skills.
• This job description is not intended to be an exhaustive list of all duties, responsibilities and qualifications of the job. The employer has the right to revise this job description at any time. You will be evaluated in part based on your performance of the responsibilities and/or tasks listed in this job description. You may be required perform other duties that are not included on this job description. The job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.
• We are an equal opportunity employer with a commitment to diversity. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to age, race, color, national origin, ancestry, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, religion, physical or mental disability, military or veteran status, genetic information, or any other status protected by applicable state or local law.