Visiting Engineer: STRATA
About The Position
AI Fund is Andrew Ng's venture studio that identifies high-potential applied AI ideas, recruits exceptional builders, and creates new companies from scratch. Visiting Engineers join for a 12-week residency in Mountain View to take an idea from concept to working product alongside Andrew and the AI Fund team. If the idea validates, you become a co-founder. AI Fund is backed by a $390M fund from top-tier global investors and aims to build AI companies that move humanity forward. The specific idea, STRATA, is a Regtech copilot designed to automate the process after a new regulation is released. Instead of just receiving alerts, compliance teams need to understand changes, assess business impact, and update various living documents. This manual and costly process, often outsourced, consumes 15-20% of time in regulated, asset-heavy industries. STRATA leverages LLMs for grounded extraction, diffing, and document synchronization, focusing on trusted primary sources to generate cited redlines and updated content. It includes a reviewer workflow and publishes versioned output with an audit trail, targeting US utilities and energy developers for use cases like rate cases, tariffs, and interconnection fees.
Requirements
- Demonstrated experience building applications that incorporate Generative AI.
- Document processing pipeline experience: ingestion, parsing, extraction from PDFs, legal filings, or regulatory documents.
- RAG systems with citation and provenance tracking (not just retrieval, but grounded output with source attribution).
- Experience building reliable, auditable AI systems for high-stakes or regulated environments.
- Proficiency with GenAI tools and frameworks: prompt engineering, structured extraction, LLM evals, guardrails.
- Strong back-end skills, particularly with Python, and experience with front-end technologies and modern frameworks.
- Hands-on experience using AI-assisted coding tools (e.g., Cursor, Claude Code) and understanding of best practices for effective use.
- Proven track record of architecting, implementing, and deploying scalable AI-powered systems.
- Ability to write scrappy, disposable code for fast prototyping, and clean code for scalable products.
- Strong communication skills and ability to work collaboratively across disciplines.
Nice To Haves
- Experience in regulated industries (utilities, energy, financial services, healthcare).
- Familiarity with regulatory data sources (FERC, state PUCs, SEC filings, tariff databases).
- Experience with document diffing, version control for content, or redline generation.
- Prior experience building audit trail, compliance workflow, or approval routing systems.
- Exposure to rapid prototyping methodologies and shipping MVPs.
- Contributions to open-source GenAI projects or tools.
- Prior experience as a founding engineer or technical lead at an early-stage company.
- Knowledge of advanced architecture patterns (microservices, event-driven architectures, datastore design).
- Interest or experience in product design and product thinking.
Responsibilities
- Build the regulatory filing ingestion pipeline that monitors and parses filings from FERC, state PUCs, and relevant regulatory bodies.
- Develop the change detection and explanation engine that diffs new filings against prior versions and generates plain-English summaries of what changed and why it matters.
- Create the auto-update system that propagates regulatory changes into living documents (memos, matrices, comparison tables) with cited redlines.
- Implement the reviewer workflow where compliance teams approve, reject, or modify AI-generated updates before publication.
- Ship versioned output with a full audit trail suitable for regulated environments.
- Validate with real compliance teams at US utilities or energy developers and measure time-to-update reduction.
- Apply GenAI building blocks (prompt engineering, RAG with citation, agentic frameworks, evals, and guardrails) to real-world development.
- Collaborate closely with Andrew Ng and the AI Fund team to bring this idea from concept to working product.
Benefits
- 12-week residency in Mountain View, CA
- $10K/month stipend
- Opportunity to become a co-founder if the idea validates
- Potential for a $1M check at a $4M valuation
- Direct collaboration with Andrew Ng and the AI Fund team
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What This Job Offers
Career Level
Senior
Education Level
No Education Listed
Number of Employees
11-50 employees
