Generative AI Engineer - LLM/NLP

Role : Gen AI Engineer

Location : Bangalore, Delhi, Hyderabad

Working model : Hybrid

Key Responsibilities :

- Designing and Developing AI models: This includes creating architectures, algorithms, and frameworks for generative AI.

- Implementing AI models: This involves building and integrating AI models into existing systems and applications.

- Working with LLMs and other AI technologies: This includes using tools and techniques like LangChain, Haystack, and prompt engineering.

- Data preprocessing and analysis: This involves preparing data for use in AI models.

- Collaborating with other teams: This includes working with data scientists, product managers, and other stakeholders.

- Testing and deploying AI models: This involves evaluating model performance and deploying them to production environments.

- Monitoring and optimizing AI models: This involves tracking model performance, identifying issues, and optimizing models for better results.

- Staying up to date with the latest advancements in Gen AI: This includes learning about new techniques, models, and frameworks.

Required Skills :

- Strong programming skills in Python: Python is the preferred language for AI development.

- Knowledge of Generative AI, NLP, and LLMs: This includes understanding the principles behind these technologies and how to use them effectively.

- Experience with RAG pipelines and vector databases: This includes understanding how to build and use retrieval-augmented generation pipelines.

- Familiarity with AI frameworks and libraries: This includes knowledge of frameworks like LangChain, Haystack, and open-source libraries.

- Understanding of prompt engineering and tokenization: This includes understanding how to optimize prompts and manage tokenization.

- Experience in integrating and fine-tuning AI models: This includes knowledge of deploying and maintaining AI models in production environments.