Transformation Engineer

Join TribalScale as a Transformation Engineer, where you'll be embedded with a client organization of approximately 500 employees. In this hands-on role, you'll build AI platforms, advance AI practices, and educate teams across the business. Your success will be measured by the adoption and impact of the systems you create.

We recognize that strong candidates may not meet every qualification listed. If this role excites you and your experience is adjacent to what we have described, we encourage you to apply

Responsibilities

• Design, build, and maintain an LLM-powered company knowledge base that captures institutional knowledge and makes it usable by employees and agents.
• Architect agentic memory and context strategies: define what agents remember, how knowledge is retrieved and refreshed, and how access permissions are enforced.
• Develop practical retrieval, indexing, knowledge-quality, and lifecycle processes that keep information accurate, relevant, and secure.
• Strong AWS experience, including relevant services such as Lambda, Bedrock, IAM, S3, and vector search or OpenSearch, with attention to security, scalability, and cost
• Practical expertise designing agentic memory, retrieval strategies, context management, and permission-aware knowledge access
• Demonstrable experience building LLM knowledge management or retrieval systems, such as RAG, LLM wikis, enterprise search, or related context-engineering solutions
• Proven ownership of production agent harnesses, including evaluations, observability, guardrails, debugging, maintenance, and continuous improvement—not just familiarity with the concepts

Requirements

• Strong hands-on software or AI engineering experience, with proficiency in Python, TypeScript, JavaScript, or comparable languages, and experience delivering production systems
• Deep, demonstrable Claude Code expertise, with specific examples of workflows, skills, subagents, MCP integrations, or harnesses you have personally built
• Ability to partner across technical and business teams, independently own initiatives, and deliver practical solutions in fast-paced environments
• Experience working within an organization undergoing significant technology or AI transformation, including the human side of adoption and change management
• Proven ability to teach: experience running workshops, building training curricula, or onboarding teams to new tools, and explaining technical ideas to non-engineers
• Claude Certified Architect certification or other relevant AI engineering credentials

Preferred

• Experience with CI/CD, DevOps, infrastructure as code, and operating secure AI systems at organizational scale
• Experience building internal communities of practice, champion networks, or measurable enterprise enablement programs
• Experience with LangGraph, LangChain, or other agent orchestration and evaluation frameworks
• Experience leading AI adoption or platform transformation in a mid-sized organization, particularly one with approximately 200–2,000 employees