More jobs:
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.
Client Consulting & Enablement — 30%
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.
Qualifications
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.
Preferred Qualifications
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.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×