Senior AI/ML Engineer
Posted 4ds ago
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Job Description
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.
Responsibilities:
- 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:
- 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:
- Flexible work arrangements
- Professional development



















