Senior AI Engineer

Machine Learning Technologies, LLC; Plano (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Machine Learning Technologies, LLC seeks a Senior AI Engineer to design and deploy GenAI applications using Python, LLMs, and FastAPI in a scalable backend. You will build agent-based AI systems with LangGraph, develop RAG pipelines, and integrate with Azure, Snowflake, MongoDB, and other data stores while optimizing prompts and model performance.

The role emphasizes ETL workflows, Databricks notebooks, Docker/Kubernetes deployments, and collaboration with data engineering and business teams.

Qualifications

• Experience designing GenAI solutions with LLMs and Python.
• Backend development with scalable API services.
• Hands-on with cloud platforms and data tooling.

Responsibilities

• Design, develop, and deploy GenAI apps using LLMs and Python.
• Build agent-based AI systems with LangGraph and similar frameworks.
• Develop RAG pipelines using embeddings, vector databases, and information extraction.
• Implement prompt engineering, LLM evaluation, and model optimization.
• Build 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 flows.
• Use Databricks notebooks and dashboards; orchestrate workflows and deployments.

Skills

GenAI

LLMs

Python

API design

Cloud services

DevOps

Tools

FastAPI

LangGraph

Docker

Kubernetes

Azure

Databricks

Snowflake

MongoDB

Job description

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.