Senior AI Engineer
Job Description
Robotics Technologies in Plano, TX (onsite) is building scalable Generative AI and agent-based platforms. As a Senior AI Engineer, you will help productionize LLM-based systems, connect them to enterprise data, and deliver reliable backend services that integrate with cloud and business workflows.
What you’ll build
- Design, develop, and deploy Generative AI applications using LLMs and Python.
- Create agent-based AI systems using LangGraph and similar frameworks.
- Develop RAG pipelines using embedding models, vector databases, and information extraction techniques.
- Implement prompt engineering, LLM evaluation, and model performance optimization.
- Build scalable backend services and APIs with Python and FastAPI.
- Integrate AI applications with Azure cloud services and enterprise systems.
- Work with Snowflake, MongoDB, and other database technologies.
- Develop and manage ETL pipelines and large-scale data processing workflows.
- Use Databricks notebooks, clusters, and workflow orchestration.
- Containerize and deploy applications using Docker and Kubernetes / AKS.
- Develop using GitHub, Git workflows, and GitHub Copilot.
How you’ll work with others
You’ll collaborate with data engineering and business teams to deliver end-to-end AI solutions, from pipeline development through deployment and integration with existing enterprise systems.
Core focus
This role centers on hands-on software engineering for Generative AI, combining LLM application development, agent orchestration with LangGraph, and production RAG pipelines supported by embeddings and vector databases.
Technology toolkit
Common technologies in this role include Generative AI, LLMs, Python, LangGraph, FastAPI, RAG, vector databases, Azure cloud technologies, Snowflake, MongoDB, Databricks, Docker, Kubernetes, AKS, GitHub, GitHub Copilot, and ETL.