← Back to jobs

Technocraft Solutions Logo
AI Engineer

Technocraft Solutions

 

Washington D.C., DC, USA

Posted On: 30+ days ago
Experience: 3+ years
Availability: Onsite
Openings: 1
Category: AI ENGINEER
Tenure: Contract - Corp-to-Corp
Related Jobs

No related jobs found

Description

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
  • 3+ years of experience in AI/ML development or software engineering.
  • Strong proficiency in Python and object-oriented programming.
  • Hands-on experience with Microsoft Azure cloud services.
  • Experience with Azure OpenAI Service, Azure AI Studio, and Azure AI Search.
  • Experience developing Retrieval-Augmented Generation (RAG) applications.
  • Knowledge of Azure Machine Learning for model training and deployment.
  • Experience with LangChain, LlamaIndex, Semantic Kernel, or similar AI orchestration frameworks.
  • Strong understanding of REST APIs, microservices, and cloud-native application development.
  • Experience with Docker, Kubernetes, and containerized deployments.
  • Proficiency with SQL and NoSQL databases.
  • Experience using Git, Azure DevOps, or GitHub for version control and CI/CD.
  • Excellent communication, analytical, and problem-solving skills.

 

Key Responsibilities

  • Design, develop, and deploy AI and Machine Learning solutions on Microsoft Azure.
  • Build Generative AI applications using Azure OpenAI Service, GPT models, and Retrieval-Augmented Generation (RAG) architectures.
  • Develop AI-powered chatbots, virtual assistants, document intelligence solutions, and automation workflows.
  • Implement prompt engineering strategies and optimize LLM performance.
  • Build and maintain vector search solutions using Azure AI Search and vector databases.
  • Develop and deploy machine learning models using Azure Machine Learning.
  • Integrate AI services with enterprise applications through REST APIs and microservices.
  • Create scalable data pipelines for AI model training, inference, and monitoring.
  • Optimize AI applications for performance, scalability, security, and cost.
  • Implement CI/CD pipelines for AI/ML workloads using Azure DevOps or GitHub Actions.
  • Collaborate with software engineers, data scientists, product managers, and cloud architects.
  • Ensure AI solutions follow responsible AI, security, compliance, and governance best practices.
  • Stay up to date with advancements in Azure AI, LLMs, Generative AI, and cloud technologies

Education

Bachelor's or Master's degrees

Related Jobs

No related jobs found

← Back to jobs