Gen AI Developer

Realign LLC is hiring a Gen AI Developer in Plano, TX (onsite) to design, fine-tune, deploy, and support generative AI and LLM solutions.

Responsibilities

• Design, fine-tune, and deploy generative AI models for production applications, including Llama, GPT, and Stable Diffusion
• Train and optimize large language models (LLMs) for natural language understanding, summarization, and conversational AI
• Build and maintain data pipelines that support both model training and inference
• Clean, preprocess, and manage large-scale datasets used across AI initiatives
• Implement machine learning models in production using TensorFlow, PyTorch, or Hugging Face
• Optimize deployed models for performance, scalability, and cost-efficiency on AWS, Azure, and GCP
• Collaborate with product managers, data engineers, and software developers to connect AI deliverables to business objectives
• Track and apply advancements in Gen AI and ML research
• Monitor deployed models for performance and accuracy; execute retraining and versioning strategies
• Ensure AI systems meet ethical, privacy, and compliance standards

Requirements

• Experience in machine learning, data science, or a related discipline
• Hands-on experience with generative models such as GANs, VAEs, and diffusion models, plus LLMs
• Experience with ML frameworks including TensorFlow, PyTorch, or JAX
• Familiarity with cloud ML environments such as AWS Sagemaker, Azure ML, or GCP AI Platform
• Strong programming skills in Python (preferred) or similar languages
• Proficiency with tools and libraries such as 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 interest in AI-driven innovation
• Experience with Retrieval-Augmented Generation (RAG) and vector databases such as Pinecone, Weaviate, or Milvus

Salary: USD 105,000 per year

Technologies: machine learning, data science, generative models, GANs, VAEs, diffusion models, LLMs, TensorFlow, PyTorch, JAX, AWS Sagemaker, Azure ML, GCP AI Platform, Python, Hugging Face, LangChain, NVIDIA BioNeMo, Docker, Kubernetes, CI/CD pipelines, Pinecone, Weaviate, Milvus, Retrieval-Augmented Generation (RAG), Llama, GPT, Stable Diffusion, NLP, computer vision