Transformation Engineer

🕒 vor 18 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟡 Mittelstufe

🟠 Senior

👷🏻‍♀️ Ingenieur

👻 Geisterscore 13%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Warum dieser Wert:

• Seit 18 Tagen offen.
• Kein Gehalt angegeben.

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TribalScale

WebsiteLinkedInAlle Stellen

51 - 200 Mitarbeiter

💼 Beratung

📦 Logistik

📣 Marketing

Consulting • Logistics • Marketing

TribalScale ist ein globales Innovationsunternehmen, das Unternehmen dabei unterstützt, sich anzupassen und in der digitalen Ära erfolgreich zu sein, indem es agile Praktiken nutzt. Das Unternehmen ist auf Produkttransformation, Design und Venture-Studio-Dienstleistungen spezialisiert und entwickelt cloud-native Softwarelösungen für Web, mobile und aufkommende Technologien. Mit über 350 umgesetzten Projekten und einer Reichweite von 500 Millionen einzigartigen Nutzern befähigt TribalScale Unternehmenteams mit Fähigkeiten in der agilen Produktentwicklung und digitalen Transformation. Das Unternehmen arbeitet in verschiedenen Sektoren und unterstützt Kunden wie Mediennetzwerke, Automobilhersteller und Sportorganisationen bei der Innovation und Erweiterung ihrer digitalen Präsenz.

Beschreibung

• Build and maintain an LLM-powered company knowledge base or “company brain” • Architect agentic memory, context strategies, retrieval, knowledge refresh, and access permissions • Develop retrieval, indexing, knowledge-quality, and information lifecycle processes • Design, build, deploy, and operate production agentic applications and harnesses • Establish Claude Code conventions for CLAUDE.md, skills, subagents, hooks, MCP integrations, and team workflows • Build developer tooling, integrations, APIs, and automation to improve engineering productivity • Deploy and maintain AWS solutions using IAM, security controls, monitoring, reliability practices, and cost management • Design and deliver AI training for an approximately 500-person organization • Run workshops, demonstrations, office hours, onboarding, and create documentation and learning materials • Develop AI champions and support managers and teams adopting new practices • Define and monitor AI adoption and impact measures • Partner with engineering, IT, security, and business stakeholders to prioritize use cases • Own solutions from discovery and prototyping through production, maintenance, and iterative improvement • Establish AI governance for data access, privacy, security, reliability, and responsible use • Turn ambiguous client needs into technical plans and deliver reliable AI-enabled products • Establish evaluation and observability practices and refine agent harnesses, tools, graphs, context, and safeguards • Create reusable technical patterns for future TribalScale engagements

🎯 Anforderungen

• Strong hands-on software or AI engineering experience, with proficiency in Python, TypeScript, JavaScript, or comparable languages, and experience delivering production systems • Demonstrable experience building LLM knowledge management or retrieval systems, such as RAG, LLM wikis, enterprise search, or related context-engineering solutions • Practical expertise designing agentic memory, retrieval strategies, context management, and permission-aware knowledge access • Deep, demonstrable Claude Code expertise, including workflows, skills, subagents, MCP integrations, or harnesses personally built • Proven ownership of production agent harnesses, including evaluations, observability, guardrails, debugging, maintenance, and continuous improvement • Strong AWS experience, including Lambda, Bedrock, IAM, S3, and vector search or OpenSearch, with attention to security, scalability, and cost • Experience working within an organization undergoing significant technology or AI transformation, including adoption and change management • Experience running workshops, building training curricula, or onboarding teams to new tools • Ability to explain technical ideas to non-engineers • Ability to partner across technical and business teams, independently own initiatives, and deliver practical solutions in fast-paced environments • Nice to have: experience leading AI adoption or platform transformation in a 200–2,000 employee organization • Nice to have: experience with LangGraph, LangChain, or other agent orchestration and evaluation frameworks • Nice to have: Claude Certified Architect certification or other relevant AI engineering credentials • Nice to have: experience with CI/CD, DevOps, infrastructure as code, and secure AI systems at organizational scale

🏖️ Vorteile

• Work on high-impact challenges across industries and technology domains • Build real products and production systems—not just recommendations or presentations • Work directly with clients and see the impact of your decisions • Explore emerging approaches to AI, agentic systems, product development, and software delivery • Collaborate with multidisciplinary teams that value experimentation and continuous learning • Influence both client outcomes and TribalScale’s evolving technical practices • Ownership, diverse perspectives, and thoughtful innovation encouraged • Equal employment opportunity and workplace inclusivity • Workplace accommodations available upon request

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