Job
Description
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. You will work on designing, optimizing, and integrating AI-driven solutions to enhance various business applications. 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.
