.Net AI Agentic Developer

Siri InfoSolutions Inc; Raleigh (NC); Hybrid; USD 96,000 - 179,000; Full time

Job summary

Siri InfoSolutions Inc is seeking a Contract .NET AI Agentic Developer to accelerate delivery of agentic AI solutions. You will design, build and optimize AI-powered agents, knowledge experiences, and workflow automations that boost employee productivity and enable trusted self-service.

The role requires hands-on experience building enterprise AI applications at scale, with focus on usability and high-quality responses. Hybrid work, Cary, NC or New York, NY locals only, for 6 months.

Qualifications

• C# and .NET application development
• Microsoft Agent Framework (preferred) or similar enterprise agent frameworks
• Microsoft 365 Agent SDK
• Azure AI Search, RAG architectures, and knowledge retrieval pipelines
• Microsoft Teams applications, Adaptive Cards, and conversational experiences
• REST APIs and enterprise system integrations
• Infrastructure as Code using Terraform
• Experience designing AI solutions with a strong focus on usability, employee experience, and response quality
• Familiarity with observability, telemetry, and AI performance optimization is a plus

Responsibilities

• C# and .NET application development
• Microsoft Agent Framework (preferred) or similar enterprise agent frameworks
• Microsoft 365 Agent SDK
• Azure AI Search, RAG architectures, and knowledge retrieval pipelines
• Microsoft Teams applications, Adaptive Cards, and conversational experiences
• REST APIs and enterprise system integrations
• Infrastructure as Code using Terraform
• Experience designing AI solutions with a strong focus on usability, employee experience, and response quality
• Familiarity with observability, telemetry, and AI performance optimization is a plus

Skills

C#/.NET

Agent Framework

MS 365 Agent SDK

Azure AI Search

RAG architectures

Knowledge retrieval

Teams apps

Adaptive Cards

REST APIs

Terraform

Observability

Tools

Terraform

Job description

Job Title

.Net AI Agentic Developer

Job Type

Contract

Client Location

Cary, NC or New York, NY Locals only

Work Arrangement

Hybrid

Duration

6 Months

Job Summary

We are seeking experienced AI Engineers to accelerate the delivery of Agentic AI Solutions, This engineer will design, build, and optimize AI-powered agents, knowledge experiences, and workflow automations that improve employee productivity and enable trusted self-service. Working closely with product, UX, and stakeholders, they will translate employee needs into intuitive agent experiences, develop RAG-based solutions, integrate enterprise systems and tools, and help advance agentic solutions roadmap across agent orchestration, personalization, knowledge management, and self-service capabilities. The ideal candidate combines strong software engineering skills with a user-centered mindset and hands‑on experience building enterprise AI applications at scale.

Key Responsibilities

• C# and .NET application development
• Microsoft Agent Framework (preferred) or similar enterprise agent frameworks
• Microsoft 365 Agent SDK
• Azure AI Search, RAG architectures, and knowledge retrieval pipelines
• Microsoft Teams applications, Adaptive Cards, and conversational experiences
• REST APIs and enterprise system integrations
• Infrastructure as Code using Terraform
• Experience designing AI solutions with a strong focus on usability, employee experience, and response quality
• Familiarity with observability, telemetry, and AI performance optimization is a plus

Required Qualifications

• C# and .NET application development
• Microsoft Agent Framework (preferred) or similar enterprise agent frameworks
• Microsoft 365 Agent SDK
• Azure AI Search, RAG architectures, and knowledge retrieval pipelines
• Microsoft Teams applications, Adaptive Cards, and conversational experiences
• REST APIs and enterprise system integrations
• Infrastructure as Code using Terraform
• Experience designing AI solutions with a strong focus on usability, employee experience, and response quality
• Familiarity with observability, telemetry, and AI performance optimization is a plus