AI Engineer

CodeStrat Labs is actively seeking a talented and passionate AI Engineer to join our innovative remote team. If you are deeply enthusiastic about Generative AI, Large Language Models (LLMs), and crafting intelligent AI solutions that truly make a difference, this is your opportunity. We're on a mission to build cutting-edge AI applications, and we need a dedicated AI Engineer to help us push the boundaries of what's possible in artificial intelligence.

As an AI Engineer at CodeStrat Labs, you will play a pivotal role in the design, development, and deployment of advanced AI systems. You will work on challenging and rewarding projects, contributing to solutions that leverage the latest advancements in AI. This remote position offers the flexibility to work from anywhere while collaborating with a vibrant and forward-thinking team.

Key Responsibilities

• Design, develop, and deploy robust AI models and solutions utilizing Generative AI and Large Language Models (LLMs).
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines to enhance model performance and accuracy.
• Develop and refine prompt engineering strategies for various AI applications.
• Integrate AI capabilities into web applications using frameworks like FastAPI and Flask.
• Work extensively with vector databases such as Pinecone, FAISS, ChromaDB, and Weaviate.
• Collaborate with cross-functional teams to translate business requirements into technical AI solutions.
• Ensure the scalability, reliability, and maintainability of AI systems.
• Utilize Git for version control and Docker for containerization and deployment of AI services.
• Stay abreast of the latest research and developments in AI, machine learning, and natural language processing.

Requirements

• Strong proficiency in Python programming for AI/ML development.
• Proven experience with Generative AI technologies and Large Language Models (LLMs).
• Hands-on experience with AI orchestration frameworks like LangChain, LangGraph, or LlamaIndex.
• Demonstrated understanding and practical experience with RAG pipelines and advanced prompt engineering techniques.
• Familiarity with various vector databases, including Pinecone, FAISS, ChromaDB, or Weaviate.
• Experience in developing web services or APIs using FastAPI or Flask.
• Solid understanding of Git for version control and Docker for application containerization.
• Ability to work independently and collaboratively in a fast-paced, remote environment.
• Excellent problem-solving skills and a passion for building innovative AI solutions.

What We Offer

• The exciting opportunity to work on cutting-edge Generative AI and LLM technologies.
• A dynamic, innovative, and supportive remote work culture.
• The chance to make a significant impact on real-world AI applications.
• Continuous learning and professional growth opportunities in a rapidly evolving field.
• Collaboration with a team of passionate and talented AI professionals.