Eval Consulting

AI Software Engineer

Eval ConsultingContract
Remote
7 - 10 YearsMar 3rd, 2026
58 ViewsBe an Early Applicant
Required Skillset:
PythonDockerKubernetesC#Microsoft AzureDeploymentMonitoring.NETLarge Language Models (LLMs)Vector databasesDistributed systemsRAG architecturesCloud-native developmentScalable architectureAgent frameworks (MCP)Cloud servicesAPI-based developmentMLOps practicesCI/CD for AI workloads

Job Description

·       We are seeking a highly skilled AI Software Engineer with strong hands-on experience building enterprise-grade AI solutions leveraging RAG (Retrieval-Augmented Generation), LLMs, agent frameworks (MCP), and vector databases within the Microsoft/Azure ecosystem.

·       The ideal candidate should have deep expertise in Python, C#, .NET, and cloud-native AI application development on Microsoft Azure.

 

Key Responsibilities

·       Design, build, and deploy AI applications using RAG architectures and Large Language Models (LLMs)

·       Implement and integrate vector databases for semantic search and knowledge retrieval

·       Develop scalable APIs and backend services using Python and C#/.NET

·       Deploy, manage, and optimize AI solutions on Microsoft Azure

·       Build cloud-native, API-driven microservices architectures

·       Collaborate with cross-functional teams to translate business requirements into AI-driven solutions

·       Ensure performance, security, and scalability of AI systems

 

Required Skills & Qualifications

·       7–10 years of overall software engineering experience

Hands-on experience with:

·       RAG architectures

·       Large Language Models (LLMs)

·       Vector databases

·       Agent frameworks (MCP or similar)

·       Strong programming skills in:

·       Python

·       C# / .NET

·       Experience working within the Microsoft technology stack

·       Solid experience with Microsoft Azure (Cloud services, deployment, monitoring)

·       Experience in cloud-native and API-based development

·       Strong understanding of scalable architecture and distributed systems

 

Nice to Have

·       Experience with Azure OpenAI Services

·       Experience with modern agent frameworks

·       Docker and Kubernetes

·       MLOps practices and CI/CD for AI workloads

 

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