AI Software Engineer

Upward Talent

United States

7 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

.NET Framework Agile Methodology Artificial Intelligence Microsoft Azure C Sharp (Programming Language) Cloud Computing Software Quality Continuous Integration DevOps Memory Management Machine Learning Software Engineering

+8 more

Prompt Engineering Generative AI Build Management AI Platforms Virtual Agents Restful APIs Software Version Control Microservices

Job description

Design, develop, and maintain scalable .NET/C# applications and cloud-native microservices using Azure infrastructure
Design and implement AI-powered solutions leveraging Microsoft Azure AI services, Azure OpenAI, and the Microsoft Agent Framework
Build and deploy intelligent agents with advanced capabilities including prompt engineering, context engineering, and retrieval-augmented generation (RAG) pipelines
Implement tool use orchestration, action planning, and memory management strategies to enable autonomous decision-making and agent responsiveness
Integrate RESTful APIs and external systems with intelligent agents; manage state, goals, and feedback loops for optimal performance
Evaluate and verify AI agent behavior and outputs using various testing techniques and validation tools
Collaborate with cross-functional teams (product managers, data scientists, DevOps) and mentor junior engineers on best practices and emerging AI technologies
Maintain code quality through peer reviews, CI/CD pipeline optimization, and adherence to Agile methodologies

Requirements

Our client is seeking an AI Software Engineer with 8-10 years of experience to design, develop, and deploy intelligent agents and AI-powered solutions using Microsoft Azure AI services. This role combines advanced .NET/C# development with cutting-edge AI and machine learning technologies in a fast-paced, collaborative environment., * 8-10 years of professional software engineering experience with demonstrated expertise in .NET and C#

Advanced proficiency in Microsoft Azure AI services, Azure OpenAI, Azure AI Foundry, and Cognitive Services
Strong expertise in prompt engineering, context engineering, RAG implementation, and vectorization/indexing techniques
Solid understanding of intelligent agent design, including tool use orchestration, action planning, memory management, and state management
Experience with RESTful API design, microservices architecture, and cloud-native development patterns
Proficiency with Git version control, CI/CD pipelines, and Agile development methodologies
Demonstrated ability to evaluate and optimize AI model outputs and agent behavior through systematic testing and validation