Senior Data Science Engineer (Gen AI/LLM)

Greytip Software Private Limited; Hyderabad; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Greytip Software Private Limited in Hyderabad seeks a Senior Data Science Engineer (Gen AI/LLM) to design, build, and optimize LLM-based applications addressing complex business problems with high performance and scalability.

You will work on prompt engineering, RAG, and data pipelines, deploy models on cloud platforms, and mentor junior developers while maintaining code quality and reliability.

Qualifications

• 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 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 containers (Docker, Kubernetes); contributions to open-source AI projects or research publications; familiarity with responsible AI development.

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.

Education

Bachelors in CS/AI/related

Masters in AI/ML/related

Job description

Senior Data Science Engineer (Gen AI/LLM)

Job ID - 1039

Overview:-We are seeking a talented Lead/Senior Engineer AI/LLM Developer to join our team and drive the development of cutting-edge artificial intelligence solutions using large language models. In this role, you will design, build, and optimize LLM-based applications that solve complex business problems while maintaining high standards of performance, scalability, and reliability.

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 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


• Master's in AI, B,Tech,MCA, or related field