Techstar Software Development India Pvt Ltd
Senior Data Science Engineer (Gen AI/LLM)
Skills
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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