Description:
• Drive the development of a modular, reusable Gen AI product suite.
• Architect "plug-and-play" Gen AI modules and foster an open-source-like community.
• Ensure solutions are scalable, user-friendly, and aligned with enterprise needs.
• Define product vision and roadmap for reusable Gen AI modules.
• Standardize patterns across use cases and integrate LLM workflows.
• Partner with business teams to map needs to pre-built modules.
• Develop documentation, tutorials, and sandbox environments for testing modules.
• Train teams on best practices and track metrics.
Requirements:
• Hands-on experience with LLM integration (e.g., OpenAI, Anthropic, Llama 2)
• Expertise in RAG workflows: Document chunking (sentence transformers), vector DBs (Pinecone, FAISS), and hybrid search.
• Familiarity with text-to-SQL systems, few-shot/chain-of-thought prompting, and traditional ML (clustering with scikit-learn, PyTorch).
• Proficiency in Python, API design (FastAPI, Flask), and cloud platforms (AWS Sagemaker, Azure AI).
• Experience with CI/CD, containerization (Docker), and infrastructure-as-code (Terraform).
• Frontend integration (React/Streamlit for config UIs) and middleware (message queues, auth systems like R2D2).
• Proven track record of building reusable ML/API products or internal platforms.
• Ability to translate business problems into technical requirements (e.g., “Compliance needs a RAG module with PII redaction”).
• Agile/Scrum methodology and tools (Jira, GitHub Issues).
• Strong communication to bridge technical and non-technical stakeholders.
• Community-building skills to drive adoption and contributions.
• Pragmatic problem-solving (e.g., balancing customization vs. standardization).
Benefits:
• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• planned time off (vacation)
• unplanned time off (sick leave)
• paid holidays
