Senior AI Engineer - Agentic Systems and LLM

📋 Description

• Design, architect, and deliver end-to-end LLM-powered applications and agentic workflows using
• Develop and implement Retrieval-Augmented Generation (RAG) pipelines using enterprise data
• Build sophisticated, multi-step AI agents capable of planning, executing tasks, using external
• Leverage modern AI development frameworks, including LangChain, LangGraph, and AutoGen, to
• Integrate AI-powered applications with APIs, backend services, and cloud-based platforms.
• Establish and implement strategies for evaluating AI systems, ensuring accuracy, reliability

🎯 Requirements

• 2–3 years of hands-on experience developing and implementing agentic AI workflows.
• Strong proficiency in Python, with demonstrated experience building and deploying production-grade
• Practical experience developing LLM-powered applications, including prompt engineering, LLM
• Proven expertise in RAG architectures, embeddings, semantic search, and vector database
• Hands-on experience with agentic AI frameworks such as LangChain, LangGraph, or AutoGen.
• Strong system design and software architecture skills, with experience developing and scaling

🎁 Benefits

• Compensation: $60 per hour.
• Work arrangement: 100% remote within the United States.
• Flexibility: Remote working opportunity, with flexibility for the right candidate.
• Career development: Opportunities to work with advanced AI technologies, LLM applications, and
• Professional growth: Exposure to enterprise-scale AI projects and innovative technology solutions.
• Additional perks: Employee discounts and career flexibility and growth opportunities.