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techstar

Senior Data Science Engineer (Gen AI/LLM)

Hyderabad5+ yrsPosted on Aug 01, 2026

Skills

Machine LearningPythonPyTorchTensorFlowAWSAzureGoogle CloudDockerKubernetesProblem SolvingAttention to Detail

Job description

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

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