Generative AI Engineer Python LangGraph RAG

• 5-7 years of software engineering, machine learning engineering, or AI engineering experience.
  
• Strong proficiency in Python
  
• Hands-on experience developing and deploying GenAI, Agentic AI, or LLM-powered applications.
  
• Experience with agent orchestration frameworks such as LangChain/LangGraph
  
• LLMs
  
• Solid understanding of Retrieval-Augmented Generation (RAG), prompt engineering, tool calling, agent memory, and multi-agent architectures.
  
• Experience building RESTful APIs using FastAPI or equivalent frameworks.
  
• Vector databases and SQL
• Strong experience with Docker, containerization, and cloud-native application development.
  
• Experience implementing CI/CD pipelines and Git-based development workflows.
  
• Strong debugging, problem-solving, and performance optimization skills.
  
• Excellent communication and collaboration skills within cross-functional teams.

For one of our clients from pharma industry we are looking for AI/ML Engineers.

This is a remote position.

,[Build and integrate GenAI applications, APIs, agents, and tools., Develop RAG and LLM-based solutions using Python and LangChain/LangGraph., Integrate AI solutions with enterprise applications and data sources., Deploy and maintain AI applications on AWS., Implement testing, monitoring, security, and production-grade engineering practices., Work with AI Scientists to productionize AI/ML solutions.] Requirements: Python, RAG, LLM, AI