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indeed

AI Engineer

DigitalQatalyst For Information Technology Consultants Co. L.L.C
, UAE
Full Time
Mid
Onsite
1 months ago
PythonJavaScriptTypeScriptLarge Language ModelsPrompt EngineeringRetrieval Augmented Generation
Free

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Job Summary

  • DigitalQatalyst is seeking a highly motivated and experienced AI Development Engineer to join our growing technology team. This role is responsible for designing, developing, testing, and deploying AI powered applications, intelligent assistants, automation solutions, APIs, and system integrations.

Key Responsibilities

  • Design, develop, and deploy AI powered applications, virtual assistants, copilots, intelligent agents, and digital platform features.
  • Create, optimize, and maintain prompts, agent workflows, and system instructions.
  • Build and maintain APIs, backend services, connectors, and integration layers.
  • Develop document ingestion, indexing, embedding, and retrieval pipelines.
  • Implement Retrieval Augmented Generation (RAG) solutions.
  • Conduct testing and validation of AI applications.
  • Support deployment, monitoring, maintenance, and continuous improvement of AI solutions.
  • Build reusable AI components, templates, frameworks, and engineering assets.

Required Qualifications and Experience

  • Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology, or a related field.
  • Minimum of 1–3 years of experience in software development, AI engineering, machine learning application development, or related technical roles.
  • Proven experience developing and deploying AI powered applications and integrations.
  • Hands on experience working with Large Language Models (LLMs) and AI platforms.
  • Experience building APIs, backend services, and enterprise integrations.
  • Demonstrated ability to deliver production ready software solutions in agile development environments.
  • Experience working on cloud based platforms and modern software delivery practices.

Technical Competencies

  • Strong proficiency in Python.
  • Working knowledge of JavaScript and/or TypeScript.
  • Backend development and API design.
  • Git version control and CI/CD practices.
  • Large Language Model (LLM) application development.
  • Prompt engineering and prompt optimization.
  • AI agent and workflow development.
  • Retrieval Augmented Generation (RAG) architecture.
  • Embeddings, semantic search, and vector databases.
  • OpenAI and Azure OpenAI Services.
  • Microsoft Azure cloud platform.
  • LangChain, Semantic Kernel, LlamaIndex, or equivalent AI orchestration frameworks.

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