AI Developer (Technical Support Solutions)
Indexed description
Key Responsibilities
- AI Research & Strategy: Continuously research and report on relevant AI advancements (LLMs, agentic frameworks, RAG) to improve ticket resolution times and customer satisfaction.
- Rapid Prototyping: Build and deploy PoCs using AI tools to automate internal support workflows for support agents.
- Technical Design: Create clear and comprehensive technical documentation, including architecture diagrams, API specifications, and data flow models for AI integrations.
- Cross‑Functional Collaboration: Work closely with Product Management, R&D, and AI consultants to ensure PoCs align with the product roadmap and security standards.
- Required Technical Skills:
- LLM Implementation: Hands-on experience with OpenAI APIs or open‑source models and vector databases.
- RAG: Solid understanding of Retrieval‑Augmented Generation and its application to private knowledge bases and documentation.
- Integration: Experience building and consuming RESTful APIs to integrate AI solutions with support platforms such as Zendesk, Salesforce, Jira, or ServiceNow.
- Cloud Platforms: Familiarity with deploying AI workloads on AWS (Bedrock/SageMaker) or Azure AI Studio.
- ability to use Claude to code
- Professional Qualifications:
- Analytical Mindset: Ability to translate ambiguous business problems into structured technical experiments.
- Documentation Excellence: Strong written communication skills, with the ability to produce clear and concise documentation for non‑technical stakeholders.
- Support Domain Knowledge: Prior experience with Technical Support data or ticketing systems is a strong plus.
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