Generative AI Architect (LLMs, RAG, RLHF, TensorFlow & PyTorch)

Job Title: Generative AI Architect (LLMs, RAG, RLHF, TensorFlow & PyTorch)
Location: Remote
Duration/Term: Long-Term Contract

Job Summary:

We are seeking a highly skilled Generative AI Architect with deep expertise in Large Language Models (LLMs), multimodal AI, and advanced machine learning. The ideal candidate will have extensive experience in model tuning, prompt engineering, reinforcement learning, and AI ethics, with strong Python programming skills and a data engineering background. This role involves developing scalable AI solutions, optimizing retrieval-augmented generation (RAG) pipelines, and working on cutting-edge AI architectures.

Primary Responsibilities:

AI Model Development & Optimization:

• Design, fine-tune, and optimize LLMs and multimodal AI models.
• Implement Foundation Model Architectures, including Transformers, Encoder-Decoder
• Develop robust model tuning pipelines using LoRA, PEFT, and prompt engineering techniques.
• Apply Reinforcement Learning from Human Feedback (RLHF) to enhance model performance.
• Integrate APIs from leading AI providers (OpenAI, Cohere, HuggingFace).

AI Infrastructure & Data Engineering:

• Utilize Python, PyTorch, TensorFlow, LangChain, and LlamaIndex for AI model development.
• Optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced AI reasoning.
• Leverage data engineering workflows using Spark, Airflow, and SQL.
• Implement vector database solutions (FAISS, Weaviate, Pinecone) for efficient data retrieval.

AI Ethics, Governance & Deployment:

• Ensure AI model explainability, ethical compliance, and governance in generative models.
• Deploy, monitor, and manage MLOps for LLMs, including version control and model tracking.
• Utilize GPU compute infrastructure and distributed model training
• Collaborate with engineering and research teams to drive AI innovation and impact.

Secondary Skills & Additional Expertise:

• Knowledge of Classical Machine Learning (Supervised & Unsupervised Learning models).
• Expertise in cloud-based AI model deployment across scalable environments.
• Strong understanding of modern AI toolkits, including HuggingFace, OpenAI API.
• Experience in adapting AI models for specialized applications in diverse industries.

Required Qualifications:

• Bachelor s/Master s degree in Computer Science, AI, Data Science, Mathematics, or related field.
• 10+ years of experience in machine learning, AI model development, and data analytics.
• Strong expertise in LLM fine-tuning, prompt engineering, and AI reasoning frameworks.
• Proven track record of working with cutting-edge AI architectures and advanced ML techniques.

Key Skills: LLMs, Generative AI, Prompt Engineering, RAG Pipelines, AI Ethics, PyTorch, TensorFlow, LangChain, Python, RLHF, Vector Databases, GPU Training, MLOps

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