Technical lead building safe, evaluable LLM agents and AI infrastructure for OpenLoop’s telehealth platform. Setting architecture, observability, retrieval, and model operations direction.
LP
Generative AI Architect
Posted via LinkedIn Recruiter (not a company profile)
Posted 8 months ago
About the role
- Java Technical Architect with 10+ years experience to lead enterprise modernization with deep Generative AI integration. Requires Java, Python, LLM frameworks, Agentic architectures, and RAG pipelines expertise.
Responsibilities
- Architect and lead modernization of legacy systems using Java and Python, integrating GenAI capabilities. Design and implement LLM-powered solutions using tools like LangChain, Semantic Kernel, Hugging Face, and OpenAI API. Build and optimize RAG pipelines for enterprise-grade retrieval and generation workflows. Apply prompt engineering techniques to enhance model performance and reliability. Develop Agentic systems using frameworks such as AutoGen, CrewAI, or custom agents. Drive DevOps practices including CI/CD, containerization, and infrastructure-as-code. Deploy scalable, secure solutions on AWS, Azure, or GCP. Utilize productivity tools like GitHub Copilot, ChatGPT, and Gemini to accelerate development. Collaborate with cross-functional teams to align GenAI strategy with business goals. Mentor engineering teams on GenAI adoption, coding best practices, and architectural standards.
Requirements
- No requirements provided
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