AI Engineer

LatentBridge; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

LatentBridge is seeking an experienced AI Engineer to join a platform engineering initiative focused on building Micro UIs across an enterprise platform. The role blends applied AI engineering with modern full-stack delivery (.NET, Angular) and backend document/data intelligence work (Databricks, Snowflake).

A seasoned resource with hands-on Azure AI Foundry experience and a track record delivering AI-generated code and domain-specific micro-frontends is required.

Qualifications

• Hands-on Azure AI Foundry experience and backend .NET development.
• Experience building domain-specific Micro UI / micro-frontends.
• Proven ability to design and implement AI-assisted features.
• Strong communication and client-facing presentation skills.

Responsibilities

• Design and build AI-assisted features and agentic workflows on Azure AI Foundry.
• Develop domain-specific Micro UI applications using Angular, integrated with .NET backend services.
• Implement document intelligence pipelines to extract, process, and structure data from unstructured documents.
• Work with Databricks and Snowflake for backend data processing, storage, and retrieval supporting AI features.
• Apply agentic coding practices and AI-assisted development tooling as a core part of the delivery workflow (target: 60%+ of code AI-generated, with rigorous human review).
• Collaborate with architects, business analysts, and domain teams to align each Micro UI to its specific domain's access patterns and requirements.
• Contribute to platform engineering standards ensuring Micro UIs are consistent, secure, and maintainable across domains.

Skills

Azure AI Foundry

.NET backend

Angular

Databricks

Snowflake

Agentic AI development

Micro UI/micro-frontend

Domain access patterns

Technical communication

Tools

Databricks

Snowflake

Job description

AI Engineer

Engagement: Micro UI / Domain Platform Modernization

Role Overview

We are seeking an experienced AI Engineer to join a platform engineering initiative focused on building Micro UIs — independently deployable, domain-scoped front ends — across a broader enterprise platform. The role blends applied AI engineering (Azure AI Foundry, agentic development patterns) with modern full-stack delivery (.NET, Angular) and backend document/data intelligence work (Databricks, Snowflake). This is a seasoned-resource engagement: candidates should have prior, demonstrable experience delivering this type of work, not solely theoretical familiarity.

Key Responsibilities

• Design and build AI-assisted features and agentic workflows on Azure AI Foundry.
• Develop domain-specific Micro UI applications using Angular, integrated with .NET backend services.
• Implement document intelligence pipelines to extract, process, and structure data from unstructured documents.
• Work with Data bricks and Snowflake for backend data processing, storage, and retrieval supporting AI features.
• Apply agentic coding practices and AI-assisted development tooling as a core part of the delivery workflow (target: 60%+ of code AI-generated, with rigorous human review).
• Collaborate with architects, business analysts, and domain teams to align each Micro UI to its specific domain's access patterns and requirements.
• Contribute to platform engineering standards ensuring Micro UIs are consistent, secure, and maintainable across domains.

Required Skills & Experience

• Hands-on experience with Azure AI Foundry (or direct equivalent Azure AI/ML tooling).
• .NET backend development experience.
• Angular front-end development experience.
• Experience working with backend document processing/data platforms — Databricks and Snowflake.
• Demonstrated experience with agentic AI development and AI-assisted ('agentic') coding workflows, with a track record of significant AI-generated code (60%+) in production delivery.
• Prior experience building Micro UI / micro-frontend architectures, ideally with domain-based access segmentation.
• Strong communication skills; able to clearly articulate prior relevant project experience during client-facing evaluation.

Preferred / Complementary Experience

• AI architecture experience — designing AI-first system architectures, not just implementing features.
• Document intelligence specialisation (OCR, extraction, classification, unstructured-to-structured pipelines).
• Platform engineering background (shared services, internal developer platforms, golden paths).
• Business analysis experience translating domain requirements into technical specifications.
• Project / program management experience on similar AI or platform modernization engagements.
• Domain-specific engineering experience relevant to the client's industry.

Candidate Profile

This engagement requires seasoned resources who have previously delivered similar work — not first-time exposure. Successful candidates will be able to speak concretely to past projects involving agentic AI development, Micro UI/micro-frontend delivery, and backend document intelligence at scale.

Potential Role Variants on This Engagement

• AI Engineering
• AI Architecture
• Document Intelligence
• Azure AI Foundry Specialist
• Agentic AI Development
• Platform Engineering
• Business Analysis
• Project / Program Management
• Domain-Specific Engineering

Requirements

• Design and build AI-assisted features and agentic workflows on Azure AI Foundry.
• Develop domain-specific Micro UI applications using Angular, integrated with .NET backend services.
• Implement document intelligence pipelines to extract, process, and structure data from unstructured documents.
• Work with Databricks and Snowflake for backend data processing, storage, and retrieval supporting AI features.
• Apply agentic coding practices and AI-assisted development tooling as a core part of the delivery workflow (target: 60%+ of code AI-generated, with rigorous human review).
• Collaborate with architects, business analysts, and domain teams to align each Micro UI to its specific domain's access patterns and requirements.
• Contribute to platform engineering standards ensuring Micro UIs are consistent, secure, and maintainable across domains.