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Senior Data Science Engineer (Gen AI/LLM)

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Onsite

Senior Data Science Engineer (Gen AI/LLM)

Techstar Software Development India Pvt Ltd

Senior Data Science Engineer (Gen AI/LLM)

Skills

Google Cloud PlatformDockerPythonData SciencePyTorchTensorFlowMachine LearningAIAWSKubernetesAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

15 September 2026

What they need


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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