Transformation Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain an LLM-driven corporate knowledge repository, also known as the “company brain.”

• Design architectures for agentic memory, contextual strategies, retrieval systems, knowledge refresh, and access permissions.

• Create processes for retrieval, indexing, knowledge quality, and information lifecycle management.

• Design, construct, deploy, and manage production-grade agentic applications and frameworks.

• Establish Claude Code standards for CLAUDE.md, skills, subagents, hooks, MCP integrations, and team workflows.

• Develop development tools, integrations, APIs, and automation solutions to enhance engineering productivity.

• Implement and manage AWS solutions utilizing IAM, security measures, monitoring, reliability protocols, and cost management strategies.

• Design and deliver AI training programs for an organization of approximately 500 individuals.

• Conduct workshops, demonstrations, office hours, onboarding sessions, and create documentation and educational materials.

• Cultivate AI advocates and assist managers and teams in adopting new methodologies.

• Define and track metrics for AI adoption and its impact.

• Collaborate with engineering, IT, security, and business stakeholders to prioritize use cases.

• Take ownership of solutions from discovery and prototyping through to production, maintenance, and ongoing enhancements.

• Establish AI governance concerning data access, privacy, security, reliability, and responsible usage.

• Translate ambiguous client requirements into actionable technical plans and deliver dependable AI-enabled products.

• Implement evaluation and observability practices while refining agent harnesses, tools, graphs, context, and safeguards.

• Create reusable technical patterns for future engagements with TribalScale.

⛳️ Requirements

• Extensive hands-on experience in software or AI engineering, with proficiency in Python, TypeScript, JavaScript, or similar languages, and a track record of delivering production systems.

• Proven experience in developing LLM knowledge management or retrieval systems, such as RAG, LLM wikis, enterprise search, or other context-engineering solutions.

• Practical knowledge in designing agentic memory, retrieval strategies, context management, and permission-aware knowledge access.

• In-depth, demonstrable expertise in Claude Code, including workflows, skills, subagents, MCP integrations, or personally developed harnesses.

• Documented ownership of production agent harnesses, encompassing evaluations, observability, guardrails, debugging, maintenance, and continuous enhancement.

• Strong experience with AWS services, including Lambda, Bedrock, IAM, S3, and vector search or OpenSearch, with a focus on security, scalability, and cost efficiency.

• Experience in organizations undergoing substantial technological or AI transformations, including adoption and change management.

• Experience in conducting workshops, creating training curricula, or onboarding teams to new tools.

• Capability to articulate technical concepts to non-engineers.

• Ability to collaborate across technical and business teams, independently lead initiatives, and provide practical solutions in dynamic environments.

• Nice to have: experience in leading AI adoption or platform transformation within organizations of 200–2,000 employees.

• Nice to have: experience with LangGraph, LangChain, or other frameworks for agent orchestration and evaluation.

• Nice to have: Claude Certified Architect certification or other relevant AI engineering qualifications.

• Nice to have: experience with CI/CD, DevOps, infrastructure as code, and secure AI systems at an organizational scale.

🏝️ Benefits

• Engage in high-impact challenges across various industries and technology sectors.

• Develop real products and production systems—not merely recommendations or presentations.

• Collaborate directly with clients and witness the impact of your decisions.

• Investigate emerging methodologies in AI, agentic systems, product development, and software delivery.

• Work alongside multidisciplinary teams that value experimentation and continuous improvement.

• Influence both client outcomes and the evolving technical practices of TribalScale.

• Ownership, diverse perspectives, and thoughtful innovation are highly encouraged.

• Commitment to equal employment opportunities and workplace inclusivity.

• Workplace accommodations available upon request.