AI Engineer

About the job

Job Overview: We are seeking a highly skilled AI Engineer with expertise in prompt engineering and software development to join our AI-focused team. The ideal candidate should have a deep understanding of LLMs (Large Language Models), NLP (Natural Language Processing), and AI-driven automation, combined with strong programming skills in Python and related technologies. Key Responsibilities: • Design, test, and optimize high-quality prompts for LLMs to achieve accurate and efficient responses. • Fine-tune AI models and customize them for various enterprise applications. • Implement chain-of-thought prompting, few-shot learning, retrieval-augmented generation (RAG), and other techniques to improve AI response quality. • Work with OpenAI, Anthropic, Google Gemini, and open-source LLMs (Llama, Mistral, Falcon, etc.) to build AI-driven solutions. • Integrate AI models into web and mobile applications using APIs, vector databases, and cloud services. o Develop AI-powered chatbots, virtual assistants, and intelligent automation solutions. • Write clean, scalable, and efficient Python code for AI applications. • Work with frameworks like LangChain, LlamaIndex, FastAPI, Flask, PyTorch, and TensorFlow to build and deploy AI models. • Design backend services and APIs to integrate AI solutions into enterprise systems. • Preprocess and analyse unstructured data (text, images, voice) for AI training and inference. • Implement embedding models, vector search, and knowledge graphs for enhanced AI retrieval and reasoning. • Work closely with cross-functional teams including data scientists, ML engineers, and software developers to deliver AI-driven applications. • Stay updated with the latest AI advancements and contribute to research & development initiatives. Required Skills & Qualifications: • Expertise in crafting, optimizing, and testing AI prompts for LLMs. • Solid experience in Python, JavaScript (optional), or other relevant languages. • Understanding of transformers, embeddings, NLP techniques, and AI model fine-tuning. • Hands-on experience with OpenAI APIs, Hugging Face, LangChain, LlamaIndex, Vector DBs (Pinecone, Weaviate, ChromaDB, etc.). • Familiarity with AWS, Azure, GCP, FastAPI, Flask, RESTful APIs. • Working knowledge of SQL, NoSQL, and vector databases. • Experience with Git, Docker, CI/CD, Kubernetes (optional). • Ability to debug, optimize, and enhance AI models and applications. • Experience with fine-tuning open-source Models(LLMs and VLMs) and working with custom AI model training. • Background in AI-powered automation, chatbots, or intelligent search systems. • Hands-on experience in multi-modal AI (text, image, video) applications. • Contributions to AI research, open-source projects, or publications in the field.

Requirements

• Prompt engineering
• NLP
• Large Language Models
• AI-driven automation
• Python

Preferred Technologies

• Prompt engineering
• NLP
• Large Language Models
• AI-driven automation
• Python

About the company

Biz4Group focuses on designing and integrating AI-driven solutions to enhance various business applications.