AI/ ML Engineer Research Focus

Job Description: AI/ML Research Engineer with LangChain and LLM ExpertiseWe are seeking a talented AI/ML Research Engineer with expertise in transformerarchitectures, large language models (LLMs), and LangChain to join our innovative team. The ideal candidate will have a strong understanding of both the theoretical and practical aspects of LLMs and experience integrating various models into dynamic systems. You will work on cutting-edge AI projects, contributing to the development of question-answering systems, conversational agents, and document analysis tools, while ensuring seamless API integration. Key Responsibilities: LLM Expertise: Develop and fine-tune transformer-based models (e.g., GPT, BERT, etc.) Implement tokenization and embedding strategies to optimize model performance. Utilize prompt engineering techniques to design effective interactions with LLMs. Apply fine-tuning and transfer learning to enhance existing models. Explore and implement various LLM architectures to solve real-world problems. LangChain Integration: Build and deploy systems using LangChains core concepts, such as Chains, Agents, and Memory. Integrate diverse LLMs into LangChain workflows to create custom agents and tools. Implement conversational memory to enable dynamic and context-aware interactions. Develop document analysis and retrieval systems using LangChain modules. Construct advanced question-answering systems leveraging LangChain and LLMs. API Development and Integration: Design and implement APIs for seamless integration of AI models with externalapplications. Work with cross-functional teams to integrate research outcomes into production systems. Ensure APIs enable smooth interaction with external systems, databases, and third-party tools. Qualifications: Strong understanding of transformer architecture and LLM types (e.g., GPT, BERT,etc.) Hands-on experience with LangChains modules and building tools within theframework. Proficiency in tokenization, embeddings, and designing models for promptengineering. Experience with fine-tuning, transfer learning, and model optimization. API development and integration experience in Python, along with frameworks suchas FastAPI, Flask, or Django. Experience with ML frameworks like TensorFlow, PyTorch, or Hugging FaceTransformers. Strong programming skills in Python and proficiency in creating scalable ML pipelines. Familiarity with machine learning fundamentals, deep learning techniques, and model evaluation. Excellent problem-solving and communication skills, with an ability to workcross-functionally Bonus Skills: Experience working with LangChain to build custom conversational agents. Understanding of document retrieval and knowledge-based systems. Familiarity with deploying LLMs into production and optimizing performance.Join us and be part of a team driving innovation at the intersection of AI research, LLMs, and LangChain development! Apply today to contribute to pioneering projects and advance the future of AI. .