Key Responsibilities:

Design, build, and deploy solutions using Generative AI models (e.g., OpenAI GPT, Anthropic Claude, Mistral, LLaMA)

Fine-tune and customize LLMs and integrate them into applications or business workflows

Collaborate with product, data science, and engineering teams to identify and solve problems using GenAI

Research and implement prompt engineering techniques to optimize model output and efficiency

Build chatbots, content generation tools, summarization engines, and other AI-driven applications

Evaluate and select appropriate GenAI models and frameworks for various use cases

Ensure the ethical, secure, and compliant use of AI technologies

Stay up to date with the latest advancements in GenAI, LLMs, and NLP ecosystems

Support deployment, monitoring, and continuous improvement of AI solutions in production environments

Required Skills & Qualifications:

Experience in AI/ML, with at least 1-2 years in Generative AI or NLP

Experience working with APIs and deploying GenAI models in real-world applications

Understanding of transformer-based architectures and model evaluation techniques

Experience with prompt tuning, fine-tuning, and RLHF (Reinforcement Learning with Human Feedback)

Knowledge of REST APIs, JSON, and integration with web apps or enterprise systems

Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)

Excellent problem-solving skills, communication, and documentation abilities

Preferred Qualifications:

Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or related field

Experience with multimodal AI (e.g., text-to-image, audio-to-text)

Exposure to Responsible AI and bias mitigation techniques

Contributions to open-source GenAI projects or tools