Evnek - Artificial Intelligence Engineer

<p><p><b>Job Description :</b></p><p><p><b><br/></b></p><p><b>Key Responsibilities :</b></p><p><br/>- Develop and deploy AI-driven solutions for automation, workflow optimization, and intelligent decision-making.</p></p><p><br/>- Build and implement generative AI tools leveraging Large Language Models (LLMs).</p><p><br/>- Design and implement Retrieval-Augmented Generation (RAG) systems and Graph RAG architectures.</p><p><br/></p><p>- Create and optimize agents using LangChain and related frameworks.<br/><br/></p><p>- Develop embedding-based search solutions with vector databases (e.g., Chroma, Weaviate).<br/><br/></p><p>- Prototype AI applications using open-source LLMs and APIs (e.g., OpenAI, Anthropic, Cohere, Gemini, Copilot).<br/><br/></p><p>- Work on intelligent document processing, smart form filling, and rule-based automation.<br/><br/></p><p>- Collaborate on chatbot development and agent-assist tools.<br/><br/></p><p>- Contribute to internal tools automation, including co-pilots for operations.<br/><br/></p><p>- Integrate simple user interfaces using Git and lightweight front-end frameworks for AI tools.<br/><br/><b>Required Skills & Experience :</b><br/><br/>- 2+ years of practical experience in AI/ML solution development.<br/><br/></p><p>- Proficiency in Python, R, or Java with strong programming fundamentals.<br/><br/></p><p>- Expertise in machine learning & deep learning frameworks such as TensorFlow and PyTorch.<br/><br/></p><p>- Hands-on knowledge of NLP techniques and AI model integration.<br/><br/></p><p>- Strong understanding of fundamental algorithms, object-oriented and functional design principles.<br/><br/></p><p>- Skilled in data preprocessing, feature engineering, and model evaluation techniques.<br/><br/></p><p>- Experience with version control systems (Git) for collaboration and code management.<br/><br/></p><p>- Exposure to generative AI, LLMs, and open-source AI ecosystems.</p><br/></p> (ref:hirist.tech)