AI Software Engineer

6 days ago

Washington, Washington, D.C., United States Mindlance Full time
Job Description

We are seeking experienced professionals to join our team as Senior Dotnet Developers and contribute to the development of cutting-edge AI applications.

The ideal candidates should have a solid foundation in web development, backend services, and a deep understanding of AI and machine learning orchestration.

Key Responsibilities:
  • Frontend Development: Design, develop, and maintain user interfaces using Angular, ensuring seamless and responsive user experiences.
  • Backend Services: Develop and optimize RESTful APIs using Java or .NET, enabling efficient and secure communication between frontend and backend systems.
  • AI/ML Integration: Implement and manage AI/ML models and pipelines, including orchestration with Python for various AI functions.
  • Data Management: Work with structured, graph, and unstructured databases for data storage, retrieval, and management to support complex AI applications.
  • RAG Implementation: Implement RAG methods using Azure AI Search or AWS OpenSearch to enhance LLM performance.
  • Intent Detection and AI/ML Workflows: Develop intent detection and other natural language understanding components to power AI-driven applications.
  • Ingestion Pipelines: Design and deploy data ingestion workflows using Azure Data Factory (ADF) or equivalent cloud services for seamless data integration and ETL processes.
  • SharePoint Integration: Integrate and manage SharePoint for data handling, document storage, and content management.
  • Custom Model Development: Assist in creating and fine-tuning custom AI models; experience with few-shot learning, leveraging tools like Azure OpenAI, Google Gemini, or open-source LLMs is a plus.
Required Skills:
  • Frontend Development: Proficient in Angular, with strong UI/UX skills.
  • Backend Development: Proficient in either Java or .NET for REST API development.
  • AI/ML Orchestration: Strong experience in Python, with a focus on machine learning, LLMs, and AI orchestration.
  • Data Management: Solid knowledge of structured (e.g., SQL), graph (e.g., CosmosDB), and unstructured databases (e.g., Elasticsearch).
  • RAG Implementation: Experience with retrieval-augmented generation using Azure AI Search or AWS OpenSearch.
  • Data Pipelines: Hands-on experience with Azure Data Factory for building and managing data ingestion pipelines.
  • Intent Detection: Experience developing or deploying intent detection models and NLU components.
  • SharePoint: Experience with SharePoint, especially for document storage and content management integration.
Salary Estimate:

$120,000 - $180,000 per annum based on location and experience.

Benefits:

Mindlance offers a competitive salary package, comprehensive benefits, and opportunities for growth and professional development.

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