AI Engineer

Hi,

Hope you are doing good, this is Rajeev from FutureTech Consultants, LLC and I have a job opening with our direct client.

Please have a look at the below job description and let me know your interest. Please share me the latest copy of your resume.

Role: Lead AI Engineer

Location: Rockville, MD (or) McLean, VA (Hybrid 3 days onsite)

Duration: 6 Months with possible extension

Interview process: Phone & Onsite panel

Job Summary:

• 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.
• The ideal candidate will lead the development of systems that analyze content across multiple formats, including PDFs, emails, social media, and video, and generate auditable, explainable compliance decisions.

Experience:

• 8 years of experience in software engineering, machine learning, or applied AI
• Proven track record of building and deploying production-grade AI/ML systems
• Experience in regulated industries such as finance, legal, or healthcare strongly preferred

Technical Skills:

• Strong expertise in natural language processing and large language models
• Hands-on experience with retrieval-augmented generation (RAG)
• Experience with model evaluation, benchmarking, and performance testing
• Familiarity with multimodal AI, including text, image, and layout understanding

Tools and Frameworks:

• Strong Python development experience
• Experience with LLM orchestration or agent frameworks such as LangChain or AWS Strands
• Experience with vector databases such as PGVector or Pinecone
• Familiarity with document processing pipelines, including OCR and PDF parsing tools

Systems and Infrastructure:

• Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
• Knowledge of MLOps, CI/CD pipelines, model monitoring, and deployment best practices
• Strong background in scalable system design and distributed architectures

Key Responsibilities:

• AI System Architecture
• Design and implement end-to-end AI pipelines for document ingestion across PDFs, HTML, images, video, and audio
• Build multimodal extraction workflows using OCR, layout parsing, and vision-language models
• Develop LLM-driven compliance reasoning systems
• Build scalable retrieval-augmented generation (RAG) systems grounded in regulatory content

Compliance Intelligence:

• Translate regulatory frameworks into machine-interpretable logic
• Develop rule-based and AI-driven classifiers for areas such as performance claims and disclosures
• Build risk scoring models and violation detection workflows

LLM and Model Strategy:

• Evaluate and select large language models appropriate for specific compliance use cases
• Implement prompt engineering, tool use, and fine-tuning strategies where appropriate
• Design guardrails and hallucination mitigation techniques
• Integrate multimodal models to assess charts, images, and disclosures

Explainability and Auditability:

• Build systems that generate clear, regulator-ready explanations for decisions
• Ensure outputs are evidence-backed, with text spans linked to applicable rules
• Maintain full audit trails for all AI-generated decisions
• Apply strong understanding of LLM evaluation frameworks, with DeepEval preferred

Evaluation and Risk Management:

• Define and track model performance metrics such as precision, recall, and false negatives
• Implement human-in-the-loop review workflows
• Conduct adversarial and edge-case testing
• Continuously improve model quality, reliability, and safety

Technical Leadership:

• Establish best practices for architecture, coding, MLOps, and deployment
• Partner cross-functionally with compliance, legal, and product teams
• Mentor engineers and provide technical leadership on AI and machine learning best practices

Education Qualifications:

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
• PhD preferred but not required

Experience:

• 8 years of experience in software engineering, machine learning, or applied AI
• Proven track record of building and deploying production-grade AI/ML systems
• Experience in regulated industries such as finance, legal, or healthcare strongly preferred

Technical Skills:

• Strong expertise in natural language processing and large language models
• Hands-on experience with retrieval-augmented generation (RAG)
• Experience with model evaluation, benchmarking, and performance testing
• Familiarity with multimodal AI, including text, image, and layout understanding

Tools and Frameworks:

• Strong Python development experience
• Experience with LLM orchestration or agent frameworks such as LangChain or AWS Strands
• Experience with vector databases such as PGVector or Pinecone
• Familiarity with document processing pipelines, including OCR and PDF parsing tools

Systems and Infrastructure:

• Experience with cloud platforms such as AWS, Google Cloud Platform, or Azure
• Knowledge of MLOps, CI/CD pipelines, model monitoring, and deployment best practices
• Strong background in scalable system design and distributed architectures

Regards

Rajeev Mudakala

Sr. Talent Acquisition Specialist

FutureTech Consultants, LLC

5655 Peachtree Parkway, Suite 212, Peachtree Corners, GA 30092

Direct:

&