> Markdown version of [/jobs/ext/2979807-gen-ai-developer](https://www.wearedevelopers.com/jobs/ext/2979807-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:** Seattle, WA, United States - **Experience:** Expert - **Salary:** $110,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Computer Programming, Monitoring of Systems, Python (Programming Language), Machine Learning, Tensorflow, Azure Machine Learning, Management of Software Versions, Google Cloud, Cloud Platform System, Pytorch, Large Language Models, Generative AI, AI Platforms, Kubernetes, HuggingFace, Variational Autoencoders, Stable Diffusion, GPT, Natural Language Understanding, Data Pipelines, Docker - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/83a0eeb5-cbbe-4900-9165-46f571183918 ## About the Role * Experience in machine learning, data science, or related fields. * Hands-on experience with generative models (e.g., GANs, VAEs, diffusion models) and LLMs. * Experience with ML frameworks (e.g., TensorFlow, PyTorch, JAX). * Familiarity with cloud environments (AWS Sagemaker, Azure ML, or Google Cloud Platform AI Platform). * Strong programming skills in Python (preferred) or similar languages. * Proficiency in using libraries like Hugging Face, LangChain, or NVIDIA BioNeMo. * Knowledge of Docker, Kubernetes, and CI/CD pipelines for deployment. * Understanding of NLP, computer vision, or multimodal AI techniques. * Strong problem-solving skills and a passion for AI-driven innovation. * Experience with Retrieval-Augmented Generation (RAG) techniques and vector databases (e.g., Pinecone, Weaviate, Milvus). ## Description Model Development and Deployment: * Design, fine-tune, and deploy generative AI models (e.g., Llama, GPT, Stable Diffusion) for various applications. * Train and optimize large language models (LLMs) for tasks such as natural language understanding, summarization, and conversational AI. 2. Data Pipeline Management: * Develop and maintain robust data pipelines for model training and inference. * Clean, preprocess, and manage large-scale datasets to support AI projects. 3. Integration and Scalability: * Implement ML models in production environments using tools like TensorFlow, PyTorch, or Hugging Face. * Optimize models for performance, scalability, and cost-efficiency on cloud platforms (AWS, Azure, Google Cloud Platform). 4. Collaboration and Innovation: * Work with product managers, data engineers, and software developers to align AI solutions with business objectives. * Stay updated with the latest research and advancements in Gen AI and ML. 5. System Monitoring and Maintenance: * Monitor deployed models for performance and accuracy; implement retraining and versioning strategies. * Ensure systems meet ethical, privacy, and compliance standards ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [The State of WebDev AI 2025 Results: What Can We Learn?](https://www.wearedevelopers.com/magazine/581-the-state-of-webdev-ai-2025-results-what-can-we-learn) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)