Full Stack Developer

TechDigital Group; Washington (District of Columbia); On-site; USD 130,000 - 190,000; Full time

Job summary

An innovative company is seeking a skilled Frontend and Backend Developer to join their dynamic team. This role requires proficiency in Angular for frontend development and either Java or .NET for backend REST API development. You will leverage your expertise in Python, focusing on machine learning and AI orchestration, while managing data across structured and unstructured databases. The ideal candidate will also have experience with Azure Data Factory and SharePoint, contributing to cutting-edge data solutions. Join this forward-thinking firm to make an impact in the tech landscape and advance your career in a collaborative environment.

Qualifications

• Proficient in Angular with strong UI/UX skills.
• Solid knowledge of SQL, CosmosDB, and Elasticsearch.
• Proficient in Python for AI/ML, LLM orchestration.
• Solid knowledge of structured (SQL), graph (CosmosDB) and unstructured (Elasticsearch) databases.
• Experience with retrieval-augmented generation using Azure AI Search or AWS OpenSearch.
• Hands-on experience with Azure Data Factory for data ingestion pipelines.
• Experience developing or deploying intent detection models and NLU components.
• Experience with SharePoint for document storage and content management integration.

Responsibilities

• Develop and manage data ingestion pipelines using Azure Data Factory.
• Implement retrieval-augmented generation using Azure AI Search.

Skills

Angular

UI/UX skills

Java

.NET

Python

machine learning

LLMs

AI orchestration

SQL

CosmosDB

Elasticsearch

Azure AI Search

AWS OpenSearch

Azure Data Factory

intent detection

NLU components

SharePoint

Tools

CosmosDB

Elasticsearch

SQL

Azure Data Factory

SharePoint

Azure AI Search

AWS OpenSearch

Job description

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.