Description
You will design, develop, and deploy AI solutions using LLMs, RAG, and Generative AI.
Responsibilities
- Build and optimize agentic AI systems for complex workflows and automation.
- Implement scalable and efficient Python-based applications for AI/ML pipelines.
- Collaborate with cross-functional teams to integrate AI models into production.
- Conduct research on emerging AI trends and best practices.
- Troubleshoot and resolve technical challenges related to AI model performance and scalability.
Required Skills
- 5+ years of relevant experience in AI/ML engineering.
- Strong proficiency in Python and related libraries/frameworks (PyTorch, TensorFlow).
- Hands-on experience with Generative AI, Agentic AI, and LLM-based architectures.
- Expertise in RAG techniques and knowledge of vector databases.
- Solid understanding of prompt engineering, fine-tuning, and model evaluation.
- Strong analytical and problem-solving skills.