AI Engineer

Position: Lead AI Engineer
Location: Rockville MD / Tysons VA #HYBRID
Duration: 12 months #Contract
Interview: 1st Video & 2nd IN-Person

Job Description:

Lead AI Engineer Compliance Screening Platform
About the Role:

• We are seeking a Lead AI Engineer to design and build an AI-powered compliance screening platform that evaluates communications for adherence to regulatory standards and industry guidelines.
• This is a high-impact role at the intersection of artificial intelligence regulatory compliance and risk management. You will lead the development of systems that analyze content across formats (PDFs emails social media video) and generate auditable explainable compliance decisions.

What Youll Do
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:

-Bachelors or Masters degree in Computer Science AI/ML or related field

-PhD preferred but not required

-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)

Thanks & Regards

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LAXMAN

KMM Technologies Inc.

CMMI Level 2 ISO 9001 ISO 20000 ISO 27000 Certified

Tel: Email: