AI Engineer

About the job

Description: AI Engineer. We are seeking an experienced AI Engineer with expertise in Python and prompt engineering. The ideal candidate will have a minimum of 2+ years of relevant experience, a good understanding of LLMs, LangGraph, LangChain, and AutoGen is a professional who designs, develops, and deploys intelligent systems utilizing large language models (LLMs) and advanced AI frameworks. Python Proficiency: - Strong programming skills in Python are fundamental for developing and implementing AI solutions. Prompt Engineering: - Expertise in crafting effective prompts to guide LLMs towards generating desired and accurate responses, often involving techniques like prompt chaining and optimization. LLM Application Development: - Hands-on experience in building applications powered by various LLMs (e.g., GPT, LLaMA, Mistral). - This includes understanding LLM architecture, memory management, and function/tool calling. Agentic AI Frameworks: - Proficiency with frameworks designed for building AI agents and multi-agent systems, such as: - LangChain: A framework for developing applications powered by language models, enabling chaining of components and integration with various tools and data sources. - LangGraph: An extension of LangChain specifically designed for building stateful, multi-actor applications using LLMs, often visualized as a graph of interconnected nodes representing agents or logical steps. - AutoGen: A Microsoft framework that facilitates multi-agent collaboration, allowing specialized agents to work together to solve complex problems through task decomposition and recursive feedback loops. Retrieval-Augmented Generation (RAG): - Experience in implementing and optimizing RAG pipelines, which combine LLMs with external knowledge bases (e.g., vector databases) to enhance generation with retrieved information. Deployment and MLOps: - Practical knowledge of deploying AI models and agents into production environments, including containerization (Docker), orchestration (Kubernetes), cloud platforms (AWS, Azure, GCP), and CI/CD pipelines.

Requirements

• Python
• Prompt Engineering
• LLMs
• LangGraph
• LangChain
• AutoGen

Preferred Technologies

• Python
• Prompt Engineering
• LLMs
• LangGraph
• LangChain
• AutoGen