Title - Generative AI Engineer
Location - Plano, TX - Onsite
Key Responsibilities
Develop RAG (Retrieval-Augmented Generation) pipelines using vector databases and knowledge stores.
Integrate AI agents with enterprise systems, APIs, and workflows.
Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.
Ensure AI systems follow responsible AI, security, and governance standards.
Monitor and improve agent performance, reliability, and cost efficiency in production.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
Experience in Machine Learning / AI, with practical experience in Generative AI.
Hands-on experience with AI agents / Agentic AI, including:
Designing and deploying LLM-powered agents
Implementing planning, reasoning, and tool-calling workflows
Building single-agent and multi-agent systems
Programming skills in Python and Spark.
Experience with LLM frameworks such as Hugging Face, LangChain, LlamaIndex, AutoGen, or similar agent frameworks.
Solid understanding of Machine Learning, transformers, NLP, deep learning, and model evaluation techniques.