Python Developer GenAI & Agentic AI

About the role

We are seeking a highly skilled Python Developer with strong expertise in Generative AI and Agentic AI frameworks to join our team. The ideal candidate will have hands-on experience building intelligent AI solutions, integrating large language models (LLMs), and developing autonomous AI agents capable of reasoning and task execution. Experience with Elasticsearch is desirable. Design, develop, and deploy AI-powered applications using Python. Build and implement Generative AI solutions leveraging Large Language Models (LLMs). Develop and orchestrate Agentic AI workflows, including autonomous agents capable of planning, reasoning, and executing tasks. Integrate AI models with enterprise applications and external APIs. Create robust prompts, retrieval pipelines, and agent architectures to solve business problems. Optimize AI applications for performance, scalability, and reliability. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Implement best practices for testing, monitoring, and deployment of AI applications. Utilize Elasticsearch for indexing, searching, and retrieval use cases where applicable. Stay current with emerging trends and advancements in GenAI and Agentic AI technologies. Strong programming experience in Python. Hands-on experience with Generative AI technologies and LLM-based application development. Proven experience designing and implementing Agentic AI solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar. Experience working with prompt engineering, RAG (Retrieval-Augmented Generation), and AI orchestration patterns. Knowledge of integrating AI services and APIs from leading model providers. Familiarity with vector databases and embeddings. Strong problem-solving skills and understanding of software engineering best practices. Good to Have Experience with Elasticsearch for search and retrieval implementations. Exposure to cloud platforms such as AWS, Azure, or Google Cloud. Experience with containerization technologies such as Docker and Kubernetes. Understanding of MLOps practices and AI application deployment.

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Company Intel

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