AI Engineer (AI Agents, Gen AI, Python)

Job Description We are seeking a highly skilled AI Engineer with strong expertise in AI Agents, Generative AI, LLMs, and Python to design and build next-generation AI-powered applications. The ideal candidate should have hands-on experience with agentic AI frameworks, prompt engineering, RAG architectures, vector databases, and cloud-based AI solutions. Key Responsibilities Design, develop, and deploy AI-powered applications using Generative AI technologies. Build and implement AI Agents for intelligent workflow automation and decision-making. Develop scalable solutions using Python and modern AI frameworks. Design and implement RAG (Retrieval-Augmented Generation) architectures. Integrate Large Language Models (LLMs) such as OpenAI, Azure OpenAI, Claude, Gemini, or open-source models. Create and optimize prompts for improved AI model performance. Develop APIs and microservices for AI applications. Work with vector databases for semantic search and knowledge retrieval. Collaborate with cross-functional teams to deliver AI-driven business solutions. Monitor, evaluate, and optimize model performance, accuracy, and scalability.

Required Skills

Strong proficiency in Python programming. Experience in Generative AI, LLMs, and AI Agent development. Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, or similar frameworks. Experience in implementing RAG systems. Knowledge of Prompt Engineering and AI evaluation techniques. Familiarity with Vector Databases such as Pinecone, FAISS, ChromaDB, or Weaviate. Experience with REST APIs and AI model integrations. Understanding of Machine Learning and NLP concepts. Experience with Git, CI/CD pipelines, and Agile methodologies. Good to Have Experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI. Knowledge of Kubernetes and Docker. Experience with MLOps practices and model deployment. Exposure to AI monitoring and observability tools. Knowledge of ML frameworks such as TensorFlow or PyTorch. Experience in cloud-native application development.