LLM Engineer

🗂 We’re Hiring: LLM Engineer🕒 Employment Type: Full-Time💼 Level: Entry-Level to Mid-LevelWe are seeking a highly motivated, innovative, and technically skilled LLM Engineer to design, develop, evaluate, and deploy applications powered by Large Language Models. This role is ideal for individuals passionate about Generative AI, Natural Language Processing, machine learning, and building intelligent systems that solve real-world problems.🎯 Key Responsibilities• Design, develop, and deploy LLM-powered applications and AI solutions.• Integrate commercial and open-source Large Language Models into production systems.• Develop and optimize prompt engineering strategies, templates, and evaluation methods.• Build Retrieval-Augmented Generation (RAG) pipelines using embeddings, vector databases, and retrieval systems.• Experiment with model fine-tuning, instruction tuning, and parameter-efficient adaptation techniques.• Develop data processing pipelines for training, evaluation, and inference workflows.• Evaluate model performance, accuracy, reliability, latency, scalability, and cost.• Build automated evaluation frameworks to measure LLM output quality and consistency.• Develop AI agents, tool-calling workflows, and intelligent automation solutions where applicable.• Implement guardrails, safety controls, monitoring, and quality assurance mechanisms.• Troubleshoot model behavior, inference issues, hallucinations, and production performance problems.• Optimize AI applications for scalability, efficiency, and real-world deployment.• Stay updated on emerging LLM architectures, AI research, models, frameworks, and industry developments.• Collaborate with AI researchers, software engineers, data scientists, and product teams.✅ Requirements• Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a related field is preferred.• Previous experience working with LLMs, Generative AI, NLP, or machine learning is an advantage.• Strong programming skills in Python and familiarity with modern software development practices.• Solid understanding of machine learning, deep learning, and Natural Language Processing concepts.• Familiarity with Transformer architectures and modern LLM technologies.• Experience with LLM APIs, open-source models, or AI development platforms is an advantage.• Knowledge of RAG, embeddings, vector databases, prompt engineering, and model evaluation.• Familiarity with frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, or similar technologies.• Understanding of APIs, databases, cloud infrastructure, and scalable AI application development.• Experience with Git, Docker, CI/CD, or cloud platforms is an advantage.• Strong analytical, debugging, experimentation, and problem-solving skills.• Ability to evaluate technical approaches and iterate rapidly based on results.• Excellent written and verbal communication skills.• Strong interest in Generative AI, intelligent agents, and emerging AI technologies.🌟 What We Offer• Hands-on experience building production-grade LLM and Generative AI applications.• Exposure to cutting-edge AI models, frameworks, and development technologies.• Opportunities to work on RAG, fine-tuning, AI agents, evaluation, and intelligent automation projects.• Career progression into Senior LLM Engineer, AI Engineer, Machine Learning Engineer, AI Research Engineer, or AI Architect roles.• A highly innovative, collaborative, and technology-driven environment.• Training, mentorship, and continuous professional development opportunities.• Opportunity to work on impactful AI products and real-world business applications.• Exposure to the latest developments across the rapidly evolving AI ecosystem.• Competitive compensation with performance-based incentives.