AI Model Trainer
1 day ago
Job Overview
We are seeking a skilled Generative AI Engineer to join our team. As a key member of the engineering group, you will be responsible for designing and fine-tuning LLM-based assistants using models such as GPT, DeepSeek, or LLaMA to deliver contextual support, automated content generation, and dynamic workflow guidance.
Key Responsibilities:
- Design and integrate Generative AI pipelines into complex enterprise processes involving compliance-sensitive data, ensuring accuracy, traceability, and explainability.
- Collaborate across engineering and product teams to develop natural language interfaces, knowledge retrieval systems, and AI copilots.
- Employ prompt engineering, embedding models, and RAG architectures to align LLM responses with domain-specific knowledge graphs.
- Ensure AI output quality through evaluation frameworks focused on hallucination control, factual consistency, and task reliability.
Requirements and Qualifications:
To be successful in this role, you will need to have strong command of Python, HuggingFace Transformers, LangChain, or LLM orchestration frameworks, along with experience with cloud infrastructure (AWS preferred) for scalable AI deployment. Additionally, you should have a deep understanding of enterprise NLP applications, semantic search, and embedding-based retrieval, as well as familiarity with MLOps pipelines, model versioning, and A/B evaluation for generative outputs. Finally, you should be aware of data governance, access control, and security principles when working with GenAI in regulated environments.
Benefits:
- Flexible work arrangements
- Professional development opportunities
- A collaborative and dynamic work environment
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