Lead AI Developer

About the job

We are seeking an experienced AI Engineer with deep expertise in fine-tuning and optimizing Large Language Models (LLMs) such as GPT, DeepSeek, LLAMA, BERT, MistralAI, and Hugging Face models. The ideal candidate will have a strong background in Retrieval-Augmented Generation (RAG), agentive AI frameworks (e.g. LangGraph), and building scalable, secure AI solutions tailored for autonomous agents and enterprise applications. Key Responsibilities: • Fine-tune and optimize LLMs (e.g., GPT, LLAMA, MistralAI, BERT) for specific use cases and enterprise deployment. • Design and implement advanced RAG pipelines for knowledge-intensive tasks. • Build and deploy autonomous AI agents using agentive frameworks like LangGraph. • Develop and integrate RESTful APIs for scalable AI services. • Collaborate with cross-functional teams to deliver high-performance, secure AI applications. • Continuously evaluate and implement cutting-edge AI technologies and best practices. • Ensure model efficiency, scalability, and compliance with security standards. Required Skills: • Proven experience with LLMs (GPT, BERT, LLAMA, etc.) and model fine-tuning. • Hands-on expertise in RAG techniques and LangGraph or similar agentive AI tools. • Proficiency in Python, deep learning frameworks (e.g., PyTorch, TensorFlow), and Hugging Face ecosystem. • Experience with AI model deployment, inference optimization, and API development. • Strong understanding of data handling, prompt engineering, and performance tuning.

Requirements

• Fine-tuning LLMs
• RAG Techniques
• Python
• AI Model Deployment

Qualifications

• Deep Expertise in LLMs
• Experience in RAG Techniques

Preferred Technologies

• Fine-tuning LLMs
• RAG Techniques
• Python
• AI Model Deployment

About the company

Accelirate Inc. is focused on AI and tech innovation, leveraging cutting-edge technologies to deliver smart solutions. The company specializes in refining AI and machine learning capabilities and developing high-performance applications.