Note: The job is a remote job and is open to candidates in USA. Codefeast is seeking a Generative AI Engineer to contribute to LLM and Generative AI training and evaluation workflows. The role focuses on developing and evaluating prompts, AI workflows, model outputs, RAG systems, training data, benchmarks, and test cases while providing technical feedback to improve model performance.
Responsibilities
- Contribute directly to LLM and Generative AI training and evaluation workflows across complex reasoning and application scenarios
- Develop and evaluate prompts, AI workflows, model outputs, RAG systems, and AI-generated solutions for quality and reliability
- Create and review training data, evaluation datasets, benchmarks, test cases, and reference responses for GenAI models
- Provide technical feedback to improve model reasoning, accuracy, instruction following, and real-world AI performance
Skills
- Strong understanding of LLMs, prompt engineering, RAG, embeddings, model evaluation, and AI application development
- Hands-on experience with Python, APIs, LangChain/LangGraph, vector databases, or similar GenAI technologies
- 3–8 years of professional experience in Generative AI, Machine Learning, NLP, AI Engineering, or related fields
- LLM training/evaluation workflows, SFT, RLHF, AI agents, or AI-assisted development
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