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Artificial Intelligence Engineer
The Phoenix Group
3 hours ago
Full-time
On-site
New York City, New York, United States
This role owns the development of AI-enabled business applications, autonomous worker processes, agentic workflows, and local model inference capabilities. Reporting to the AI Business Systems leadership team, the AI Engineer / Architect will help establish scalable development standards, evaluate emerging AI technologies, and deliver secure solutions that improve internal business operations.
Key Responsibilities
Design, develop, and maintain ASP.NET MVC web applications and modules with AI-driven functionality and integrations.
Build and support standalone worker processes on the Microsoft technology stack using traditional automation and artificial intelligence methods.
Define and standardize agentic development practices, including Skills, Model Context Protocol (MCP) servers, frameworks, and agent configuration files such as AGENTS.md and CLAUDE.md.
Develop, deploy, and maintain AI agents and MCP-based solutions for business workflows.
Maintain and expand on-premises AI Graphics Processing Unit (GPU) infrastructure supporting local large language model (LLM) inference through Ollama.
Evaluate and implement emerging AI-assisted development technologies and platforms.
Establish and maintain evaluation pipelines for production artificial intelligence applications.
Participate in code reviews, coding standards development, technical discussions, and knowledge-sharing activities.
Collaborate with users and cross-functional teams to troubleshoot application, integration, and AI inference issues.
Work with software vendors, consultants, systems integrators, and other external partners as needed.
Provide regular project status updates to leadership and project teams.
Core Qualifications & Requirements
3+ years of relevant software development or AI engineering experience.
Experience with XML, Transact-SQL (T-SQL), and SQL Server Reporting Services (SSRS).
Experience with local model inference platforms such as Ollama, vLLM, or LM Studio, including parameter tuning, context window optimization, quantization selection, performance benchmarking, and inference workload troubleshooting.
Experience using OpenAI APIs and developing AI-powered applications.
Experience designing and implementing evaluation pipelines for production AI applications.
Experience with AI-assisted coding tools, including Codex, Claude Code, or Open Code.
Experience developing and deploying custom Model Context Protocol (MCP) servers with Microsoft Entra ID integration.
Knowledge of authentication flows, authorization policies, token validation, and secure service-to-service communication.
Experience using Skills and building AI agents.
Experience with Microsoft Azure.
Bachelor’s degree in Computer Science or a related field from an accredited college program; or a degree in another field supplemented by additional professional experience and/or non-degree coursework in computer systems.
Nice-to-Have Qualifications
Experience working in the legal industry.
Experience with iManage Cloud API, PowerShell, Salesforce, SharePoint, Azure DevOps, Aderant, or Workday.
Core Technical Skills
Data & Reporting:
XML, T-SQL, SQL Server, SSRS
Agentic Development:
AI agents, Skills, MCP servers, agent frameworks, AGENTS.md, CLAUDE.md, Codex, Claude Code, Open Code
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Key Responsibilities
Design, develop, and maintain ASP.NET MVC web applications and modules with AI-driven functionality and integrations.
Build and support standalone worker processes on the Microsoft technology stack using traditional automation and artificial intelligence methods.
Define and standardize agentic development practices, including Skills, Model Context Protocol (MCP) servers, frameworks, and agent configuration files such as AGENTS.md and CLAUDE.md.
Develop, deploy, and maintain AI agents and MCP-based solutions for business workflows.
Maintain and expand on-premises AI Graphics Processing Unit (GPU) infrastructure supporting local large language model (LLM) inference through Ollama.
Evaluate and implement emerging AI-assisted development technologies and platforms.
Establish and maintain evaluation pipelines for production artificial intelligence applications.
Participate in code reviews, coding standards development, technical discussions, and knowledge-sharing activities.
Collaborate with users and cross-functional teams to troubleshoot application, integration, and AI inference issues.
Work with software vendors, consultants, systems integrators, and other external partners as needed.
Provide regular project status updates to leadership and project teams.
Core Qualifications & Requirements
3+ years of relevant software development or AI engineering experience.
Experience with XML, Transact-SQL (T-SQL), and SQL Server Reporting Services (SSRS).
Experience with local model inference platforms such as Ollama, vLLM, or LM Studio, including parameter tuning, context window optimization, quantization selection, performance benchmarking, and inference workload troubleshooting.
Experience using OpenAI APIs and developing AI-powered applications.
Experience designing and implementing evaluation pipelines for production AI applications.
Experience with AI-assisted coding tools, including Codex, Claude Code, or Open Code.
Experience developing and deploying custom Model Context Protocol (MCP) servers with Microsoft Entra ID integration.
Knowledge of authentication flows, authorization policies, token validation, and secure service-to-service communication.
Experience using Skills and building AI agents.
Experience with Microsoft Azure.
Bachelor’s degree in Computer Science or a related field from an accredited college program; or a degree in another field supplemented by additional professional experience and/or non-degree coursework in computer systems.
Nice-to-Have Qualifications
Experience working in the legal industry.
Experience with iManage Cloud API, PowerShell, Salesforce, SharePoint, Azure DevOps, Aderant, or Workday.
Core Technical Skills
Data & Reporting:
XML, T-SQL, SQL Server, SSRS
Agentic Development:
AI agents, Skills, MCP servers, agent frameworks, AGENTS.md, CLAUDE.md, Codex, Claude Code, Open Code
#J-18808-Ljbffr