AI Applications Engineer

Renie


Date: 3 weeks ago
City: Ahmedabad, Gujarat
Contract type: Full time
We are a UAE-based company looking for a talented AI Applications Engineer based in India on a work-from-home basis to join our team and help build cutting-edge AI-powered applications. You will be responsible for developing, implementing, and optimizing AI solutions using large language models and multi-agent systems to solve real-world business problems.

Responsibilities

  • Design and develop AI applications using large language models (LLMs).
  • Implement and manage AI agent systems using the CrewAI framework.
  • Fine-tune language models for specific use cases and domain requirements.
  • Build robust APIs and backend services using Python and FastAPI.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Optimize model performance and implement best practices for AI application deployment.
  • Research and evaluate new AI technologies and methodologies.
  • Monitor and maintain AI systems in production environments.
  • Document AI workflows, model architectures, and implementation details.

Requirements

  • Strong proficiency in Python programming.
  • Hands-on experience with large language models (LLMs) and their practical applications.
  • Experience with model fine-tuning techniques and frameworks.
  • Knowledge of AI agent systems, particularly the CrewAI framework.
  • Understanding of machine learning workflows and model lifecycle management.
  • Experience with API development and backend services.
  • Strong problem-solving skills and ability to work with complex AI systems.
  • Familiarity with AI/ML libraries and frameworks (transformers, langchain, etc. ).

Nice To Have

  • Experience with FastAPI for building high-performance APIs.
  • Docker containerization knowledge for AI application deployment.
  • Understanding of prompt engineering and optimization techniques.
  • Experience with vector databases and semantic search.
  • Knowledge of MLOps practices and tools.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for AI workloads.
  • Experience with other AI agent frameworks and orchestration tools.

This job was posted by Pa Renie from Renie.

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