AI Software Engineer

The Nhs
New York, NY, United States
7 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$130,000.0 - $150,000.0
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Microsoft Online Services C Sharp (Programming Language) Continuous Delivery Continuous Integration Information Engineering DevOps Design of User Interfaces Human-Computer Interaction Microsoft Project Microsoft Software
+11 more
Natural Language Processing SAP (Applications) Software Engineering Enterprise Software Applications Sap Finance Prompt Engineering Software Security Backend Data Management Machine Learning Operations Front End Software Development

Requirements

C# Microsoft Full Stack

Azure AI Foundry (model development, deployment, and MLOps)

Azure OpenAI Service (prompt engineering and integration with enterprise workflows

Hands-on experience in secure deployment and scalability best practices for enterprise AI workloads

MCP framework

Microsoft ecosystem experience

Good to Have:

Experience in SAP Finance, Treasury and Payout modules

Azure Fabric (One lake, Data Engineering Pipeline set ups, NLP etc..)

DevOps & CI/CD

Please submit profiles with below questionner

Skill sets reviewed (All Rating are out of 5)

[Associate Name]

C# Microsoft Full Stack

Azure AI Foundry (model development, deployment, and MLOps)

Azure OpenAI Service (prompt engineering and integration with enterprise workflows)

Hands-on experience in secure deployment and scalability best practices for enterprise AI workloads

MCP (model context protocol) Framework experience

Microsoft Project & Ecosystem Expertise

DevOps & CI/CD

Experience in SAP Finance, Treasury and Payout modules

C# Microsoft Full Stack

Can you describe a full stack application you developed using C#, including how you structured the backend and frontend layers for scalability and maintainability?

Azure AI Foundry & OpenAI Service

Tell me about a project where you developed and deployed models using Azure AI Foundry, and how you integrated Azure OpenAI Service into enterprise workflows through prompt engineering.

Secure Deployment & Scalability

What steps have you taken to ensure secure deployment and scalability of enterprise AI workloads, and can you share a specific example of how you applied best practices?

MCP Framework & Microsoft Ecosystem

How have you used the Model Context Protocol (MCP) framework in your work

DevOps, CI/CD

Can you explain how you have implemented CI/CD pipelines for enterprise applications

SAP

Your experience with SAP Finance, Treasury, or Payout modules

Skills: Artificial Intelligence (AI), Continuous Deployment/Delivery, Continuous Integration, Data Management, DevOps, Ecosystems, Finance, MCP - Microsoft Certified Professional, Microsoft C# (C Sharp), Microsoft Product Family, Microsoft Project, Microsoft Windows Azure, Natural Language Processing (NLP), SAP, Software Development, Software Engineering, Treasury, User Interface/Experience (UI/UX)

Benefits & conditions

Salary Range- $130-150K per annum + BenefitsSubcon Rate Card- $70-80$ per hr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:52 min

Structuring and scaling the backend engineering team

Stefan Lingler Stefan Lingler +1 · Coffee With Developers

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

1:12 min

Choosing TypeScript for complex backend applications

Maximilian Otto Maximilian Otto · World Congress 2024

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

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