LLM Engineer

Key Responsibilities

• Design, develop, and deploy applications using Large Language Models (LLMs) such as GPT, Claude, LLaMA, or similar

• Fine-tune, evaluate, and optimize LLMs for domain-specific use cases

• Implement prompt engineering, retrieval-augmented generation (RAG), and agent-based workflows

• Build scalable APIs and services to integrate LLMs into production systems

• Optimize model performance, latency, and cost

• Ensure responsible AI practices, including data privacy, bias mitigation, and security

• Collaborate with cross-functional teams to translate business requirements into AI solutions

• Monitor and improve model outputs through continuous evaluation and feedback loops

• Stay current with advancements in NLP, LLM frameworks, and AI research

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, ML, or a related field

• Strong programming skills in Python (required); experience with JavaScript or Java is a plus

• Hands-on experience with LLMs and NLP techniques

• Experience with frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI APIs, or similar

• Understanding of machine learning concepts, transformers, and deep learning

• Experience building and deploying cloud-based applications (AWS, Azure, or Google Cloud Platform)

• Familiarity with REST APIs, microservices, and containerization (Docker, Kubernetes)

Preferred Qualifications

• Experience with fine-tuning open-source LLMs

• Knowledge of vector databases (FAISS, Pinecone, Weaviate, Chroma, etc.)

• Experience with MLOps tools and CI/CD pipelines

• Exposure to reinforcement learning, evaluation metrics, or synthetic data generation

• Prior experience working on production AI systems