Seeking: AI/ML Developer – Mentorship & Guidance (Part-Time, 3–4 Weeks)

I’m building an Agentic AI pipeline for hardware verification coverage generation. The pipeline uses a SharePoint agent to query targeted questions about specific SWI register fields across multiple documents — retrieving raw context chunks — which are then processed by an LLM to generate compliant SystemVerilog functional coverage artifacts.

No document parsing or ingestion is involved. The SharePoint agent handles all retrieval. I need guidance on orchestrating the agentic query loop, structuring prompts around raw context, and producing reliable structured output at scale (~10,000 fields).

The core pipeline is already underway. I’m looking for 1-hour daily guidance sessions over 3–4 weeks — not to build it for me, but to mentor, review, and unblock me as I build.

What You’ll Help With

∙ Designing the SharePoint agentic query strategy (what questions to ask per field, how to retrieve context from multiple documents)

∙ Orchestrating multi-document context merging per SWI field before LLM generation

∙ Prompt engineering for structured output (JSON → SystemVerilog coverage) from raw SharePoint context

∙ Scaling to ~10,000 fields with async LLM dispatch, caching, and deduplication

∙ Testing and observability (LangSmith, LLM-as-judge, golden datasets)

Ideal Background

∙ Strong Python skills with LangChain/LangGraph or similar agentic frameworks

∙ Experience building retrieval-augmented or agent-based LLM pipelines

∙ Familiarity with Microsoft 365 / SharePoint APIs or Graph API is a plus

∙ Hardware verification or EDA experience is a bonus — not required

Engagement

∙ Format: 1-hour daily video call or async code review

∙ Duration: 3–4 weeks | ~5 hrs/week

∙ Flexible scheduling across time zones

What I’m NOT Looking For

This is a mentorship engagement, not build-for-hire. I want someone who can guide architecture decisions and unblock me daily while I implement. Please share relevant shipped projects or GitHub links in your proposal.