Role Overview :
We are seeking a Generative AI Engineer to design, build, and optimize AI-driven solutions powered by large language models (LLMs).
This role combines AI strategy, data engineering, and applied machine learning.
Key Responsibilities :
- Develop LLM-powered applications for enterprise workflows.
- Build data pipelines in Python / SQL for training and fine-tuning models.
- Integrate AI APIs (OpenAI, Hugging Face, LangChain) into production applications.
- Ensure ethical AI practices, bias reduction, and compliance.
- Collaborate with business stakeholders to define AI use cases and roadmaps.
- Monitor model performance, retrain when required, and optimize deployment Skills :
- Programming : Python, SQL.
- Hands-on with LLMs and generative AI frameworks.
- Strong understanding of AI / ML model deployment and :
- Familiarity with LangChain, Hugging Face Transformers, OpenAI API.
- Cloud-based AI solutions (AWS Sagemaker, Azure AI, GCP Vertex).
- Knowledge of vector databases (Pinecone, Weaviate, :
- Bachelors / Masters degree in Computer Science, Data Science, or related field.
- 4 - 8 years of applied AI / ML experience
(ref : hirist.tech)