AI LLM Engineer

Key Responsibilities

• Design, develop, and fine-tune LLM-based AI models for real-world applications.
• Implement custom LLM training, reinforcement learning, and fine-tuning using open-source and proprietary models like GPT, Llama, Mistral, Claude, or Falcon.
• Optimize model efficiency, inference speed, and resource utilization for deployment in cloud or on-premise environments.
• Build data pipelines for training and evaluating AI models.
• Implement prompt engineering, retrieval-augmented generation (RAG), and memory-based techniques for improved performance.
• Integrate LLMs into applications using APIs, LangChain, vector databases (e.g., Pinecone, FAISS, ChromaDB).
• Develop custom embeddings, transformers, and tokenization strategies for specific use cases.
• Work closely with MLOps, backend engineers, and data scientists to ensure smooth deployment and monitoring of AI solutions.
• Research and stay updated on emerging trends in NLP, generative AI, and model compression techniques.
• Ensure compliance with ethical AI principles and data security standards when handling sensitive data.

Required Skills:

• Strong knowledge of Python and frameworks like PyTorch, TensorFlow, JAX.
• Experience with Hugging Face Transformers, OpenAI API, LangChain, and vector databases.
• Understanding of LLM architectures, fine-tuning techniques (LoRA, QLoRA, PEFT), and model distillation.
• Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
• Familiarity with distributed computing, GPU acceleration (CUDA, TensorRT), and multi-node training.
• Knowledge of AI safety, bias mitigation, and responsible AI development.
• Strong problem-solving, debugging, and optimization skills.
• Excellent communication and teamwork skills.

Preferred Qualifications

• Experience in building domain-specific AI assistants or chatbots.
• Knowledge of multimodal AI, speech-to-text, text-to-image models.
• Contributions to open-source AI projects or research papers in NLP/LLMs.

Key Benefits

• Working in a fast-paced tech start-up environment
• Attractive salary and incentives for high-quality work
• Flexible schedule
• Health Insurance
• Five Working Days
• Provident Fund

Job Type: Full-time

Work Location: In person