> Markdown version of [/jobs/ext/3994663-gen-ai-developer](https://www.wearedevelopers.com/jobs/ext/3994663-gen-ai-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen Ai Developer - **Company:** Tata Consultancy Services Limited - **Location:** Long Beach, CA, United States - **Salary:** $120,000.0 - $150,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Computer Programming, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Tensorflow, Feature Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Generative AI, Pandas, Scikit Learn, Information Technology, Transformer Architectures, Variational Autoencoders, Document Classification - **Published:** October 28, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88724916/1 ## About the Role * Experience in executing projects in Agile Framework * Proven experience in machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch). * Strong programming skills in Python and familiarity with libraries such as NumPy, Pandas, and Scikit-learn. * Experience with generative models (e.g., GANs, VAEs, Transformers) and natural language processing. * Proficiency in RAG (Retrieval-Augmented Generation) techniques. * Strong understanding of natural language processing (NLP). Experience with data preprocessing and model fine-tuning. * Familiarity with evaluation metrics for RAG systems. * Knowledge of transformer architectures and training techniques. * Awareness of ethical considerations and bias mitigation strategies. * Understanding of autonomous decision-making algorithms. * Proficiency in programming language Python. * Strong analytical and problem-solving skills. Roles & Responsibilities Qualifications: * Bachelor's or master's degree in computer science, data science or equivalent * Develop and implement generative AI models using frameworks like TensorFlow and PyTorch. * Build and optimize RAG (Retrieval-Augmented Generation) pipelines. * Work on NLP tasks such as text classification, summarization, and conversational AI. * Perform data preprocessing, cleaning, and feature engineering using Python libraries (NumPy, Pandas). * Fine-tune and optimize transformer-based models and LLMs for specific use cases. * Evaluate model performance using RAG and NLP evaluation metrics. * Develop and integrate machine learning models into applications. * Apply autonomous decision-making logic in AI-driven workflows where needed. Generic Managerial Skills, If any * Good to have Manufacturing domain understanding * Excellent communication * Team collaboration * Documentation and knowledge sharing, BACHELOR OF COMPUTER SCIENCE