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AI Engineer; Claude
Job Description & How to Apply Below
This is not a traditional full-stack development role. The position combines hands-on AI application development and solution architecture (70%) with client consulting, training, and enablement (30%).
The ideal candidate can take a client need from discovery through solution design, development, implementation, and adoption.
Key Responsibilities AI Application Development & Architecture — 70%- Design and build Claude-powered applications, AI assistants, agents, and automated workflows.
- Translate client business requirements into scalable AI solution architectures.
- Develop solutions using Claude APIs, tool use, structured outputs, prompt engineering, RAG, and agentic workflows.
- Integrate AI applications with client systems, APIs, databases, document repositories, and business platforms.
- Build prototypes and proofs of concept and transition successful solutions into production.
- Design secure approaches to authentication, permissions, data access, monitoring, and error handling.
- Test and optimize AI applications for accuracy, reliability, performance, and user experience.
- Apply responsible AI, privacy, security, and data-governance standards.
- Create technical documentation and reusable development patterns.
- Lead or participate in client discovery sessions to understand business challenges and requirements.
- Recommend practical AI solutions based on client needs and workflows.
- Present solution concepts, prototypes, and completed applications to technical and non-technical stakeholders.
- Lead client demonstrations, workshops, and training sessions.
- Train users on Claude-powered applications and effective AI practices.
- Gather client feedback and translate it into technical enhancements.
- Support solution implementation, adoption, and ongoing improvement.
- Act as a trusted technical advisor to client stakeholders.
- Experience developing AI-enabled applications, enterprise applications, or solution architectures.
- Hands-on experience with Claude and/or other LLM APIs
. - Strong understanding of LLM application architecture, including prompting, context management, tool calling, structured outputs, RAG, and agents.
- Strong development skills in Python, Type Script, or similar technologies
. - Experience integrating applications with APIs, databases, cloud services, and enterprise systems.
- Understanding of application security, privacy, authentication, and data governance.
- Strong client-facing communication, presentation, and facilitation skills.
- Ability to translate business problems into practical technical solutions.
- Comfortable working directly with both technical and non-technical client stakeholders.
- Direct experience with the Anthropic API and Claude ecosystem
. - Experience with MCP (Model Context Protocol).
- Experience building AI agents and enterprise RAG solutions.
- Experience in consulting, professional services, or another client-facing technology environment.
- Experience delivering technical demonstrations, workshops, or end-user training.
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