Generative AI Engineer

Role: Lead AI Engineer

Location: Rockville, MD (3 days onsite & 2 days remote per week)

Job Description:

Lead AI Engineer – Compliance Screening Platform

Design and build an AI-powered compliance screening platform that evaluates communications for adherence to regulatory standards and industry guidelines. High-impact role at the intersection of artificial intelligence, regulatory compliance, and risk management. Lead the development of systems that analyze content across formats (PDFs, emails, social media, video) and generate auditable, explainable compliance decisions.

Responsibilities:

AI System Architecture

· Design and implement end-to-end pipelines for:

• Document ingestion (PDF, HTML, images, video/audio)
• Multimodal extraction (OCR, layout parsing, vision-language models)
• LLM-driven compliance reasoning

· Build scalable retrieval-augmented generation (RAG) systems grounded in regulatory content

Compliance Intelligence

· Translate regulatory frameworks into machine-interpretable logic

· Develop:

• Rule classifiers (e.g., performance claims, disclosures)
• Risk scoring models
• Violation detection workflows

LLM & Model Strategy

· Evaluate LLMs that are specific for actions

· Implement:

• Prompt engineering and tool usage
• Fine-tuning strategies where appropriate
• Guardrails and hallucination mitigation techniques

· Integrate multimodal models for charts, images, and disclosures

Explainability & Auditability

· Build systems that generate:

• Clear, regulator-ready explanations
• Evidence-backed decisions (text spans linked to rules)

· Ensure full audit trails for all AI-driven outputs

· Expert-level understanding of LLM evaluation frameworks (deepeval preferred)

Evaluation & Risk Management

· Define and track key metrics (precision, recall, false negatives)

· Implement human-in-the-loop review workflows

· Conduct adversarial and edge-case testing

· Continuously improve model performance and reliability

Technical Leadership

· Establish best practices for architecture, coding, and MLOps

· Collaborate cross-functionally with compliance, legal, and product teams

· Mentor a team of engineers on best AI/ML practices

Qualifications:

Education

· Bachelor's or Master's degree in Computer Science, AI/ML, or related field

· PhD preferred but not required

Experience

· 8 years of experience in software engineering or machine learning

· Proven track record of building and deploying production AI/ML systems

· Experience in regulated industries (finance, legal, healthcare) strongly preferred

Technical Skills

· AI / Machine Learning

· Strong expertise in:

• NLP and large language models (LLMs)
• Retrieval-augmented generation (RAG)
• Model evaluation and benchmarking

· Familiarity with multimodal AI (text image layout)

Tools & Frameworks

· Python ecosystem

· Experience with LLM orchestration or agent frameworks such as:

• LangChain, AWS Strands

· Vector databases (e.g., PG Vector, Pinecone)

· Document processing pipelines (OCR, PDF parsing tools)

Systems & Infrastructure

· Cloud platforms (AWS, GCP, or Azure)

· MLOps, CI/CD pipelines, and model monitoring

· Scalable system design and distributed architectures

Compliance & Risk Awareness (Highly Desired)

· Experience with explainable AI (XAI)

· Understanding of auditability and governance requirements

· Exposure to industry regulations and compliance frameworks is a strong plus

Preferred Qualifications

· Experience building legal or compliance-focused AI systems

· Familiarity with marketing/advertising review processes

· Experience analyzing structured and unstructured documents (including charts and disclosures)

· Background in hybrid AI systems (rules machine learning)