AI Engineer

Description

We are looking for an AI Engineer to help build and enhance intelligent software solutions in Fort Washington, Pennsylvania. This Long-term Contract opportunity is ideal for a senior-level engineer who combines deep .NET and C# expertise with practical experience creating AI-driven applications on the Microsoft ecosystem. In this role, you will partner with technical and business teams to deliver scalable products, improve how intelligent agents operate, and introduce modern AI capabilities into enterprise environments.

Responsibilities:
Create and support enterprise applications and backend services using .NET and C# with a focus on scalability, reliability, and maintainability.
Develop AI-enabled features and agent-based solutions using Microsoft technologies such as Azure AI services, Azure OpenAI, Cognitive Services, and related platform tools.
Connect intelligent agents with business platforms, APIs, and operational workflows so they can perform useful actions across enterprise systems.
Refine model performance by shaping prompts, structuring contextual inputs, and improving how agents interpret and respond to requests.
Build retrieval-based solution patterns, including vector search and indexing approaches, to strengthen response quality and access to relevant knowledge.
Implement orchestration logic, state handling, memory strategies, and feedback mechanisms that support more effective agent behavior and task execution.
Assess AI outputs and agent performance through testing, validation methods, and continuous optimization to improve accuracy and dependability.
Work closely with product, data, engineering, and DevOps teams while also reviewing code, guiding less-experienced developers, and promoting strong development standards.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
At least 9 years of software engineering experience working with .NET and C# in enterprise environments.
Minimum of 1 year of hands-on experience building AI applications or intelligent agents using Microsoft-based tools and services.
Strong knowledge of prompt design, contextual grounding techniques, and retrieval-augmented architectures for AI solutions.
Experience designing or integrating REST APIs, microservices, and cloud-based applications.
Familiarity with Git, CI/CD practices, and Agile delivery methods such as Scrum.
Strong analytical, communication, and cross-functional collaboration skills.
Exposure to Azure AI platforms, machine learning concepts, or modern agent frameworks is highly valued.

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