AI and Automation Engineer

We are seeking a skilled AI and Automation Engineer with expertise in Large Language Models (LLMs), prompt engineering, and AI-driven automation. You will design, develop, and implement AI systems to solve complex challenges, enhance workflows, and drive innovation. This role requires strong technical proficiency in Python, hands-on experience with LLM frameworks like Ollama and Hugging Face, and a solid understanding of conversational agents and automation principles. Key Responsibilities: - Design, build, and deploy LLM-powered applications for automation, natural language processing, and generative AI use cases. - Leverage frameworks like Ollama and Hugging Face to integrate LLMs into scalable solutions. - Optimise model performance, including latency, accuracy, and resource efficiency. - Craft effective prompts to maximise LLM output quality for diverse applications (chatbots, data extraction, content generation). - Experiment with advanced prompting techniques (chain-of-thought, few-shot learning). - Architect and implement conversational agents (chatbots, virtual assistants) using LLMs. - Ensure seamless integration with backend systems and APIs. - Build end-to-end automation workflows using Python and AI/ML tools. - Collaborate with teams to identify automation opportunities and deploy solutions. - Work closely with data scientists, software engineers, and product teams to align AI solutions with business goals. - Stay updated on emerging trends in LLMs, AI agents, and automation tools. Technical Requirements: - Proficiency in Python (mandatory) with strong problem-solving and algorithmic thinking. - Deep understanding of LLM architectures (Transformer models) and how they function. - Hands-on experience with Ollama and Hugging Face libraries (Transformers, Diffusers). - Expertise in prompt engineering and optimising LLM interactions. - Proven ability to build conversational agents (chatbots, dialogue systems). - Familiarity with RESTful APIs and cloud platforms (AWS, GCP, Azure). - Basic knowledge of fine-tuning LLMs (LoRA, PEFT) is a plus. - Exposure to LangGraph, Crew AI, or multi-agent frameworks is a plus. - Experience with RAG (Retrieval-Augmented Generation) pipelines is a plus. - Knowledge of automation tools like LangChain or AutoGPT is a plus. Education and Experience: - Any qualification in Computer Science, AI, Data Science, or related field is a plus. - Hands-on experience in AI/ML development, with a focus on LLMs or NLP. - Portfolio of projects demonstrating LLM applications, automation workflows, or conversational agents. What We Offer: - Opportunity to work on cutting-edge AI and automation projects with real-world impact. - High autonomy and a collaborative, innovation-driven environment. - Competitive salary and comprehensive benefits package. - Professional development and certification support. - Your work will directly shape the future of AI-driven cybersecurity solutions. - 6-day work week schedule.