Generative AI Engineer (Python / LangGraph / RAG)

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

• 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.
• 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.
• Knowledge of 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.

• 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.

This is a remote position.