Senior AI/ML Engineer

Aubrant Digital

Senior AI/ML Engineer at Aubrant Digital building AI capabilities for client engagements. Collaborating with Technical Leads and engineers to create accurate, auditable AI workflows.

Posted 5/8/2026full-timeRemote • Massachusetts, New Jersey • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies

Azure.NETPython

About the role

Key responsibilities & impact

Build reusable AI skills consumed across engagements: Document Intelligence, document summarization, data normalization, anomaly detection, matching engines, and compliance test runners
Design and train custom Document Intelligence neural models for client-specific document types
Implement RAG over enterprise document libraries using Azure AI Search with hybrid vector + keyword retrieval and semantic ranking
Build LLM reasoning chains using Azure OpenAI (GPT-4o for complex reasoning, GPT-4o-mini for high-volume classification) with prompt versioning and guardrails
Design agent orchestration in Azure AI Foundry for multi-step workflows: extract, search, reason, and generate output with tool-use grounding
Build evaluation harnesses, accuracy thresholds, and drift detection; tie outputs to confidence-gated HITL review tiers
Implement audit trail patterns for AI-assisted workloads: prompt/response logging, evidence chains, and SOC 2 aligned event sourcing
Mentor engineers on prompt engineering, RAG design, agentic patterns, and evaluation; contribute to Aubrant's AI engineering standards

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Machine Learning, or a related discipline, or equivalent experience
MUST be proficient in written and spoken English (85%)
5 to 8 years of professional engineering experience with at least 3 years building production AI / ML systems
Expert-level proficiency in 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 proficiency in RAG and agent design , including hybrid retrieval, semantic ranking, prompt versioning, guardrails, evaluation harnesses, and confidence-aware HITL design
Strong proficiency in Python for AI/ML development
Hands-on experience with Document Intelligence custom models
Experience designing AI workflows for regulated environments
Working knowledge of Medallion data architecture, vector databases, and embedding pipelines
Solid Git, code review, and engineering standards discipline; experience with trunk-based development and IaC for AI deployments
Experience in financial services, professional services, or other regulated industries is a plus
Experience with .NET interop or polyglot AI service ecosystems is a plus

Benefits

Comp & perks

Flexible work arrangements
Professional development

ATS Keywords

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Hard Skills & Tools

AI skillsDocument Intelligencedata normalizationanomaly detectionAzure AI SearchGPT-4oPythonRAG designevaluation harnessesMedallion data architecture

Soft Skills

mentoringcommunicationcollaborationproblem-solvingleadership

Certifications

Bachelor's Degree in Computer ScienceMachine Learning