Description

Must-have:

· An engineer mindset, SDLC experience with production class delivery, strong analytical mindset, communication skills, and sense of ownership / drive · 2+ years of development experience in one of the following languages: Java, Python, Javascript/TypeScript, C#, C/C++, Python · Experience with application and system design patterns · Experience with Docker or Kubernetes · Experience with Agile methodologies, ie SCRUM

• Design, build, and operate enterprise AI/GenAI platforms supporting Large Language Models (LLMs) and AI-powered applications.

• Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance.

• Build reusable AI services including:

· Prompt Management Frameworks

· Retrieval Augmented Generation (RAG) architectures · Embedding and Vector Search Services · AI Gateway and Inference APIs · Agentic AI Orchestration Frameworks

Nice-to-have:

· Experience with Elastic Search and Kibana · Experience using DevOps CICD tools such as GitHub, GitHub Actions, Jenkins, Urban Code Deploy · Experience with a public cloud technology, i.e. Azure, AWS · Experience building or supporting distributed applications

Key Skills

Education

Bachelor's degree