GenAI Engineer

As a Generative AI Engineer at InfoObjects, you will design, develop, and deploy advanced AI models that generate content across text, images, and more. You will work closely with data scientists, ML engineers, and business stakeholders to solve real-world problems using state-of-the-art generative models.

Key Responsibilities

• Design and implement generative AI models using frameworks like OpenAI, Hugging Face, or custom architectures.
• Fine-tune large language models (LLMs) and multi-modal models to align with specific client and project needs.
• Research and apply advanced techniques including prompt engineering, reinforcement learning with human feedback (RLHF), and model optimization.
• Collaborate with product teams to integrate AI-powered features into scalable applications.
• Monitor and improve AI model performance through continuous training and evaluation.
• Contribute to the development of AI best practices and ensure ethical AI adoption.

Required Skills

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Strong experience with Python and machine learning frameworks like PyTorch or TensorFlow.
• Practical understanding of LLMs (GPT, Claude, Llama, Gemini) and generative models (Diffusion Models, GANs).
• Hands-on with APIs and platforms such as OpenAI, Hugging Face, LangChain, and Vector Databases (Pinecone, Weaviate, ChromaDB).
• Vector DBs: Experience with AWS solutions including Aurora Postgres, and Databricks Mosaic AI Vector Search.
• Cloud Platforms: Proficiency in AWS, GCP, Azure, and Databricks.
• Document Processing: Familiarity with tools like Azure AI Document Intelligence.
• Orchestration: Experience integrating AWS Knowledge Bases for AI pipeline orchestration.
• Knowledge of model evaluation, fine-tuning, retrieval-augmented generation (RAG), and ethical AI practices.
• Strong analytical mindset and the ability to solve complex problems creatively