We are seeking a motivated AI Engineer with 1-2 years of experience to join our innovative team. In this role, you will build, deploy, and optimize AI solutions using cutting-edge technologies and frameworks. You will work closely with cross-functional teams to develop AI-powered features that enhance our product offerings and deliver exceptional value.

• Design and implement AI solutions using the LangChain stack, Python, and Hugging Face
• Research, evaluate, and integrate various LLMs to identify optimal solutions for specific use cases
• Develop and optimize Retrieval-Augmented Generation (RAG) systems to enhance knowledge retrieval capabilities
• Work with vector databases to store, index, and efficiently retrieve embeddings for semantic search
• Create effective prompt engineering strategies to improve model performance and output quality
• Build and maintain AI agents that can autonomously perform complex tasks
• Collaborate with software engineers, and project managers to integrate AI capabilities into our products
• Document technical processes, architectures, and implementation details
• Stay current with the latest advancements in AI and ML technologies
• Debug and troubleshoot AI systems to ensure reliable performance
• Participate in code reviews and contribute to team knowledge sharing

• 1-2 years of professional experience in AI/ML engineering or related field
• Strong proficiency in Python and experience with AI/ML libraries and frameworks
• Experience with the LangChain ecosystem for building LLM-powered applications
• Hands-on experience working with Hugging Face models and tools
• Practical knowledge of implementing and optimizing RAG (Retrieval-Augmented Generation) systems
• Experience with vector databases (e.g., Pinecone, Chroma)
• Demonstrated skill in prompt engineering to effectively control and optimize LLM outputs
• Experience experimenting with and implementing various LLMs (e.g., GPT models, Claude, Llama, Mistral)
• Understanding of AI agent architectures and implementation approaches
• Solid grasp of software development fundamentals (version control, testing, CI/CD)
• Bachelor's degree in Computer Science, AI, or related technical field (or equivalent practical experience)

• Advanced knowledge of vector database optimization and scaling strategies
• Familiarity with container technologies like Docker
• Knowledge of cloud platforms (AWS or Azure)
• Experience with orchestration tools for AI workflows
• Experience in fine-tuning or adapting foundation models