Back to SearchAI Solutions Engineer (Python & Architecture)
Remote in Kazakhstan
AI Solution Engineering
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We are seeking an AI Solutions Engineer (Python & Architecture) to support technical enablement initiatives, bootcamps, and workshop delivery, helping accelerate developer adoption of SAP's Golden Path Agentic AI framework within CPIT.
Responsibilities
- Facilitate technical bootcamps and hands-on enablement sessions
- Deliver code-first learning experiences rather than slide-based training
- Build demos, labs, and reusable enablement assets
- Design workflows, automations, and solution bundles that accelerate adoption and improve enablement outcomes
- Bridge the gap between building AI agents and shipping them to production
- Support consultation efforts and self-paced learning offerings
- Travel to deliver sessions onsite as needed
Requirements
- 5+ years of experience in software development
- 2+ years of experience working with LangGraph and MLflow
- Intermediate to advanced proficiency in Python, including backend development
- Intermediate experience with Databricks, CI/CD, MCP (Model Context Protocol), and A2A (Agent-to-Agent)
- Intermediate to advanced skills in AI-assisted development tools such as Claude Code, Cline, and GitHub Copilot
- Strong background in AI engineering and software development
- Excellent technical storytelling and communication skills
- Comfort facilitating hands-on workshops and bootcamps
- Passion for learning emerging technologies and rapidly building expertise in new areas
- English proficiency at B2 level or higher
Nice to have
- Experience designing workflows and automation solutions that improve processes and enhance enablement offerings
- Familiarity with Spec-Driven Development practices