AI Applications Engineer
Renie
Date: 23 hours 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
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.
- 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. ).
- 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.
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