AI Engineer

Are you an innovative and passionate AI Engineer with a deep interest in cutting-edge Generative AI and Large Language Models (LLMs)? CodeStrat Labs is seeking a talented individual to join our dynamic team and build intelligent AI solutions that deliver significant impact. This is a unique opportunity to contribute to pioneering projects, work remotely, and push the boundaries of artificial intelligence.

At CodeStrat Labs, we are committed to leveraging the latest advancements in AI to solve complex problems. As an AI Engineer, you will be instrumental in developing sophisticated AI applications from concept to deployment, working with a suite of modern tools and frameworks. If you thrive in a collaborative environment and are eager to shape the future of AI, we encourage you to apply.

Key Responsibilities

• Design, develop, and deploy innovative AI solutions utilizing Generative AI and Large Language Models (LLMs).
• Implement and optimize Retrieval Augmented Generation (RAG) pipelines to enhance the performance and relevance of AI models.
• Conduct advanced prompt engineering to fine-tune AI model interactions and outputs.
• Work extensively with various vector databases, including Pinecone, FAISS, ChromaDB, and Weaviate, for efficient data retrieval and management.
• Develop and integrate robust APIs using frameworks like FastAPI or Flask to expose AI capabilities.
• Collaborate closely with cross-functional teams, including data scientists and software developers, to deliver end-to-end AI products.
• Ensure the scalability, reliability, and security of AI systems in production environments.
• Stay abreast of the latest research, trends, and technologies in Generative AI, LLMs, and the broader AI landscape.

Requirements

• Proven professional experience as an AI Engineer or in a similar role focusing on AI/ML development.
• Strong proficiency in Python programming, with a solid understanding of its ecosystem for AI development.
• In-depth knowledge and hands-on experience with Generative AI concepts and Large Language Models (LLMs).
• Familiarity and practical experience with AI frameworks such as LangChain, LangGraph, or LlamaIndex.
• Demonstrable experience in building and optimizing RAG Pipelines.
• Expertise in Prompt Engineering techniques for optimizing model behavior.
• Practical experience with at least one vector database, such as Pinecone, FAISS, ChromaDB, or Weaviate.
• Experience developing web services/APIs using frameworks like FastAPI or Flask.
• Proficiency with version control systems (e.g., Git) and containerization technologies (e.g., Docker).
• Excellent problem-solving skills and the ability to work independently in a remote setting.

What We Offer

• The opportunity to work on cutting-edge Generative AI and LLM technologies that are shaping the future.
• A dynamic, innovative, and supportive remote work environment.
• Direct involvement in high-impact projects that make a real difference.
• Continuous learning and professional development opportunities in the rapidly evolving field of AI.
• A collaborative culture that encourages creativity and technical excellence.