Job Description:

Must have 3+ years of experience.

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.