Design and implement sophisticated AI applications leveraging state-of-the-art LLM technologies
Develop efficient solutions for LLM integration, fine-tuning, and deployment
Optimize model performance, latency, and resource utilization
Build and maintain robust data pipelines for training and inference
Implement advanced prompt engineering techniques and retrieval-augmented generation (RAG)
Develop evaluation frameworks to measure AI system performance and output quality
Collaborate with cross-functional teams to understand requirements and deliver solutions
Mentor junior developers and share AI/LLM knowledge across the organization
Participate in code reviews and ensure adherence to best practices
Role Requirement :-
5+ years of software development experience with at least 3 years focused on AI/ML technologies
Strong experience working with transformer-based models and LLM APIs Proficiency in Python and relevant AI/ML frameworks (PyTorch, TensorFlow, Hugging Face)
Experience with vector databases and semantic search technologies Solid understanding of prompt engineering, RAG, and fine-tuning techniques
Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment Strong problem-solving skills and attention to detail.
Experience with LLM optimization techniques like quantization and distillation
Knowledge of AI evaluation metrics and benchmarking methodologies Understanding of multimodal AI systems (text, image, audio)
Experience with containerization and orchestration tools (Docker, Kubernetes)
Contributions to open-source AI projects or research publications Familiarity with AI ethics and responsible AI development
Qualifications:-
Bachelors degree in computer science, AI, Machine Learning, or related field
