Senior AI Engineer

We are seeking a Senior AI Engineer to design, develop, and deploy production-grade LLM-powered applications and agentic AI systems. The ideal candidate will have strong expertise in Python, Large Language Models (LLMs), RAG architectures, AI agents, modern AI frameworks, and scalable cloud-based systems.

This role will be responsible for owning the end-to-end development of intelligent solutions, from architecture and development through deployment, evaluation, and optimization., * Architect and develop end-to-end LLM-powered applications and agentic AI workflows using Python.

• Design and implement Retrieval-Augmented Generation (RAG) pipelines using enterprise data, embeddings, and vector databases.
• Build multi-step, tool-using AI agents supporting planning, execution, memory, and reasoning.
• Develop AI solutions using modern frameworks such as LangChain, LangGraph, and AutoGen.
• Integrate LLM and AI systems with REST APIs, backend services, enterprise applications, and cloud platforms.
• Implement prompt engineering, LLM orchestration, and AI workflow automation.
• Design scalable and reliable backend architectures for AI-powered applications.
• Establish strategies for AI evaluation, accuracy, reliability, latency, scalability, and cost optimization.
• Monitor and optimize production AI systems to ensure performance and reliability.
• Collaborate with engineering and business teams to translate requirements into scalable AI solutions.

• Strong Python programming skills with experience developing production-grade backend systems.
• Hands-on experience building and deploying LLM-powered applications.
• Strong understanding of Generative AI, LLMs, prompt engineering, and AI orchestration.
• Proven experience designing and implementing RAG architectures.
• Experience working with embeddings and vector databases.
• Hands-on experience developing AI agents and agentic workflows.
• Experience with frameworks such as LangChain, LangGraph, or AutoGen.
• Strong system design and software architecture skills.
• Experience building and scaling cloud-based applications and services.
• Experience integrating AI solutions with APIs, backend systems, and enterprise data sources.
• Strong understanding of production considerations including performance, reliability, scalability, accuracy, latency, and cost., * Experience with multiple LLM providers and APIs.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with containerization and modern application deployment practices.
• Knowledge of AI/ML evaluation frameworks and observability.
• Experience working with enterprise-scale data and AI applications.
• Strong problem-solving, communication, and collaboration skills., * Bachelor’s degree or foreign equivalent from an accredited institution is preferred. Equivalent professional experience may be considered.
• Candidates must be authorized to work in the United States without current or future employer-based visa sponsorship.
• The position may require occasional relocation and/or travel depending on project requirements.