Senior AI/ML Engineer

This is a fully remote position, open to applicants in New Jersey, +1 more state.

📋 Description

• Create reusable AI capabilities utilized across various projects, including Document Intelligence, document summarization, data normalization, anomaly detection, matching engines, and compliance testing runners.

• Design and train tailored Document Intelligence neural models for specific client document types.

• Implement RAG over enterprise document repositories using Azure AI Search, combining hybrid vector and keyword retrieval with semantic ranking.

• Develop LLM reasoning chains utilizing Azure OpenAI (GPT-4o for complex reasoning and GPT-4o-mini for high-volume classification) with prompt versioning and safety measures.

• Design agent orchestration in Azure AI Foundry for multi-step workflows that include extraction, searching, reasoning, and generating outputs with tool-use grounding.

• Create evaluation harnesses, establish accuracy thresholds, and implement drift detection; link outputs to confidence-gated human-in-the-loop review tiers.

• Execute audit trail patterns for AI-assisted operations, encompassing prompt/response logging, evidence chains, and SOC 2 compliant event sourcing.

• Guide engineers on prompt engineering, RAG design, agentic patterns, and evaluation; contribute to Aubrant's AI engineering standards.

⛳️ Requirements

• Bachelor’s Degree in Computer Science, Machine Learning, or a related field, or equivalent experience.

• MUST possess proficiency in both written and spoken English (85%).

• 5 to 8 years of professional engineering experience, with a minimum of 3 years focused on developing production AI/ML systems.

• Expert-level knowledge of Azure AI services, including Azure OpenAI (GPT-4o, GPT-4o-mini, PTU, and token-based billing), Azure AI Foundry, Document Intelligence (custom neural models), and AI Search.

• Expert-level understanding of RAG and agent design, incorporating hybrid retrieval, semantic ranking, prompt versioning, guardrails, evaluation harnesses, and confidence-aware human-in-the-loop design.

• Strong proficiency in Python for AI/ML development.

• Practical experience with Document Intelligence custom models.

• Experience in designing AI workflows for regulated environments.

• Working knowledge of Medallion data architecture, vector databases, and embedding pipelines.

• Solid discipline in Git, code reviews, and engineering standards; experience with trunk-based development and Infrastructure as Code for AI deployments.

• Experience in financial services, professional services, or other regulated industries is advantageous.

• Familiarity with .NET interop or polyglot AI service ecosystems is a plus.

🏝️ Benefits

• Flexible work arrangements.

• Opportunities for professional development.