Key Responsibilities : -
- 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 technologiesStrong 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 techniquesFamiliarity 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 distillationKnowledge 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 developmentQualifications : -
Bachelors degree in computer science, AI, Machine Learning, or related fieldMaster's in AI, B,Tech,MCA, or related fieldSkills Required
Llm, Transformers, Python, Pytorch, Tensorflow