Senior AI Engineer

Robotics Technologies LLC; Plano (TX); Presencial; USD 140.000 - 230.000; Jornada completa

Descripción de la vacante

Robotics Technologies LLC in Plano, TX seeks a Senior AI Engineer with deep GenAI, LLM, Python, and cloud experience to build scalable AI-powered applications and agent platforms.

You will design AI services with FastAPI, LangGraph, RAG pipelines, and modern data stacks, deploying via Docker/Kubernetes on Azure. Collaboration with data teams and engineering is essential.

Formación

• Extensive experience in Generative AI and LLMs.
• Strong software engineering background with Python.
• Hands-on experience with FastAPI, RAG, vector databases, and Azure.

Responsabilidades

• Design, develop, and deploy GenAI applications using LLMs and Python.
• Build agent-based AI systems using LangGraph.
• Develop RAG pipelines with embeddings, vector databases, and information extraction.
• Implement prompt engineering, LLM evaluation, and model optimization.
• Develop scalable backend services and APIs with Python and FastAPI.
• Integrate AI apps with Azure cloud services and enterprise systems.
• Work with Snowflake, MongoDB, and other databases.
• Develop and manage ETL pipelines and large-scale data processing.
• Utilize Databricks notebooks, clusters, and workflow orchestration.
• Containerize and deploy with Docker and Kubernetes/AKS.
• Use GitHub workflows and Copilot for development.
• Collaborate with data engineering and business teams to deliver AI solutions.

Descripción del empleo

We are seeking a highly experienced Senior AI Engineer with a strong software engineering background and hands-on expertise in Generative AI, LLMs, Python, and LangGraph. The candidate will develop scalable AI-powered applications and agent-based platforms using FastAPI, RAG, vector databases, and Azure cloud technologies.

Key Responsibilities

Design, develop, and deploy GenAI applications using LLMs and Python.

Build 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.

Develop scalable backend services and APIs using 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.

Utilize Databricks notebooks, clusters, and workflow orchestration.

Containerize and deploy applications using Docker and Kubernetes / AKS.

Use GitHub, Git workflows, and GitHub Copilot for development.

Collaborate with data engineering and business teams to deliver AI solutions.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.