Generative AI Engineer
First seen by Alion on Sep 21, 2026.
Description :
- Fine-tune LLMs using techniques like LoRA and QLoRA
- Evaluate and improve RAG (Retrieval-Augmented Generation) pipelines for groundedness, accuracy, and relevance
- Apply transfer learning and transformer architectures in model development
- Validate model accuracy and performance using appropriate metrics
- Collaborate with product teams and communicate insights to senior leadership
- Participate in problem-solving sessions and contribute innovative ideas
- Maintain an experimental mindset and continuously explore new approaches
- Identify and integrate relevant data sources to build meaningful datasets
- Automate data collection and preprocessing for structured and unstructured data
- Handle large-scale data to feed analytical and predictive models
- Build and optimize machine learning and deep learning models, including NLP solutions
Requirements :
Education & Experience :
- Bachelors degree in a quantitative field (Computer Science, Engineering, Physics, Mathematics, Operations Research) or equivalent experience
- 3 - 5 years of hands-on experience in Gen AI and NLP
- Prior experience in startups or high-growth environments is a plus
Technical Skills :
- Deep expertise in NLP techniques : text generation, sentiment analysis, NER, and language modeling
- Hands-on experience with LLMs and RAG pipelines
- Proficiency in neural network frameworks : TensorFlow, PyTorch
- Familiarity with transformer architecture and transfer learning
- Fluency in at least one programming language : Python, R, or Julia
- Experience with Gen AI libraries : Hugging Face, OpenAI, etc.
- Strong foundation in ML algorithms : supervised, unsupervised, reinforcement learning, Bayesian inference
- Fine Tuning, Transfer Learning, Pytorch, Tensorflow
Skills
R, Python, LLM, Artificial Intelligence, Machine Learning, Deep Learning, Generative AI, Tensorflow