Job Description

As an AI/ML Engineer with LangChain Expertise, you will be instrumental in developing and deploying advanced machine learning models, with a particular focus on Large Language Model (LLM) applications and integrations. Your role will involve leveraging frameworks like LangChain to build sophisticated solutions for recommendation systems, natural language processing (NLP), and potentially computer vision. You will be responsible for designing and implementing AI algorithms, fine-tuning deep learning models, and seamlessly integrating AI solutions into production environments. Experience in AI research and cloud-based AI solutions is a valuable asset.

Responsibilities

• Design and implement machine learning algorithms, with an emphasis on LLM-driven applications.
• Develop AI models for NLP, computer vision, and other applications, utilizing frameworks such as LangChain for efficient LLM integration.
• Train, fine-tune, and evaluate deep learning models, including those powering LLM applications.
• Collaborate with product and engineering teams to integrate AI solutions, particularly those built with LangChain, into existing systems.
• Monitor model performance and continuously improve outcomes, ensuring optimal performance of LLM-based solutions.
• Contribute to AI research and explore new techniques, including advancements in LangChain and LLM orchestration.

Skills & Qualifications

• 4+ years of experience as an AI/ML Engineer or related role.
• Proficiency in Python, TensorFlow, PyTorch, Scikit-Learn, NLP, Computer Vision.
• Demonstrable experience with LangChain for building LLM-powered applications.
• Experience deploying machine learning models into production, with a focus on scalable LLM deployments.
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and their AI/ML tools, especially those related to LLM services.
• Strong understanding of AI/ML concepts, data processing techniques, and the architecture of large language models.

Benefits

• Competitive salary and benefits package.
• Flexible remote work setup.
• Opportunities for continuous learning and career growth, particularly in the rapidly evolving LLM and LangChain ecosystem.
• Supportive, innovative, and inclusive work culture.